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\"name\": \"The future is AC/DC: the Agent Centric Development Cycle | Sonar\",\n \"description\": \"The era of Continuous Integration, with its familiar processes and workflows, is rapidly coming to an end. 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Sonar Context Augmentation","Sonar Context Augmentation injects SonarQube into AI agents like Cursor and Claude Code for fewer errors, lower costs, and better AI code review.","Manish Kapur","cta","creationDate","2026-03-31T15:00:00Z",[2785,9378,3191,430],"keywords",[],[15425,15426,15427,15428],"Category:AI","Category:Code security","Category:Code quality","Category:SonarQube Cloud","order","Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research Company Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents What is Sonar Context Augmentation? How Sonar Context Augmentation works Why context matters Try it out during our beta Start your free trial Verify all code. Find and fix issues faster with SonarQube. Update — March 2026: This article was originally published on March 3rd, 2026, when we launched the closed beta of Sonar Context Augmentation for Enterprise customers. We are now announcing the open beta—expanding access to all SonarQube Cloud Teams and Enterprise plan customers.\n\n\n\n\nAI coding agents like Cursor and Claude Code are changing how we build software, but they often work in a vacuum. They don’t automatically understand your project’s specific rules, architectural boundaries, or code security standards. As a result, they can generate code that works in isolation but fails to integrate cleanly into your broader codebase. This leads to rework, higher costs, and a \"trial-and-error\" process for software developers.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC), a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. Today, we are excited to announce the beta of Sonar Context Augmentation to help agents in the Guide stage of AC/DC.\n\nWhat is Sonar Context Augmentation?\n\nSonar Context Augmentation is a service that injects real-time, deep knowledge from SonarQube directly into your AI agent’s workflow. It uses the SonarQube MCP Server to act as a bridge between your enterprise codebase and your AI coding tools.\n\nBy providing this \"repo-aware\" context, Context Augmentation helps AI coding agents understand the specific environment they are working in before they ever generate a line of code.\n\nHow Sonar Context Augmentation works\n\nSonar Context Augmentation provides the exact, filtered information an AI agent needs to get the job right on the first try:\n\nDynamic context guidelines: Instead of overwhelming an agent with thousands of rules, Context Augmentation identifies the most relevant coding standards based on what you are asking and the history of the specific files being modified.\n\nArchitectural awareness: It gives the agent a structural map of your code, including class hierarchies and function flows, so it respects your intended code architecture and avoids creating technical debt.\n\nSmarter search: Agents can find specific code sections using exact signatures and body patterns rather than simple text matches, leading to more accurate modifications.\n\nWhy context matters\n\nWhen an agent has the right context, the agentic output is more accurate, faster, and carries less risk for long-term architectural drift. Experience increased build pass rates, increased test pass rates, significantly reduced code duplication, and reduced cognitive complexity. All of this matters for achieving the real productivity promise of AIgen code.\n\nOur benchmarking also shows that when an agent has the right context, it doesn't just write better code—it works more efficiently. Organizations using Context Augmentation can expect to see reduction in token usage, tool calls, and overall AI operating costs, in particular when working in complex code bases.\n\nBy defining the \"rules of engagement\" upfront, developers spend less time fixing AI-generated code errors and more time shipping high-quality software.\n\nTry it out during our beta\n\nThe Sonar Context Augmentation beta is available starting today. To participate, you will need:\n\nSonarQube Cloud Team or Enterprise annual or monthly plan\n\nSonarQube MCP Server\n\nAn AI agent like Cursor, GitHub Copilot or Claude Code\n\nAny language project to leverage intelligent guidelines\n\nA Java, C#, Python, JavaScript or TypeScript project to leverage architectural awareness (intended architecture must be set configured for the project to leverage your intended architecture)\n\nNOTE: Context Augmentation only supports projects using CI-based analysis. Projects using Automatic analysis in SonarQube Cloud will not work with Context Augmentation.\n\nFor detailed steps to set up Sonar Context Augmentation see our documentation. We hope you will try it out during the beta and explore how agents like Cursor and Claude Code can follow your organization’s specific standards from the first prompt.\n\nThanks! Build trust into every line of code\n\n 4.6 / 5 Solutions Products Pricing Company Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/company/sonarsource/","source","sonarsource.com","objectID","blogpost___sonarqube_agentic_analysis_beta_program-0","_snippetResult",{"_40":15437},{"_41":15438,"_15439":15440},"… Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join …","matchLevel","full","_highlightResult",{"_15411":15443,"_40":15458},{"_36":15444,"_89":15448,"_5341":15450,"_5346":15452,"_134":15454,"_8808":15456},{"_41":15415,"_15439":15445,"_15446":15447},"none","matchedWords",[],{"_41":15416,"_15439":15445,"_15446":15449},[],{"_41":15417,"_15439":15445,"_15446":15451},[],{"_41":42,"_15439":15445,"_15446":15453},[],{"_41":8959,"_15439":15445,"_15446":15455},[],{"_41":15415,"_15439":15445,"_15446":15457},[],{"_41":15459,"_15439":15440,"_15460":6,"_15446":15461},"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents What is Sonar Context Augmentation? How Sonar Context Augmentation works Why context matters Try it out during our beta Start your free trial Verify all code. Find and fix issues faster with SonarQube. Update — March 2026: This article was originally published on March 3rd, 2026, when we launched the closed beta of Sonar Context Augmentation for Enterprise customers. We are now announcing the open beta—expanding access to all SonarQube Cloud Teams and Enterprise plan customers.\n\n\n\n\nAI coding agents like Cursor and Claude Code are changing how we build software, but they often work in a vacuum. They don’t automatically understand your project’s specific rules, architectural boundaries, or code security standards. As a result, they can generate code that works in isolation but fails to integrate cleanly into your broader codebase. This leads to rework, higher costs, and a \"trial-and-error\" process for software developers.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC), a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. Today, we are excited to announce the beta of Sonar Context Augmentation to help agents in the Guide stage of AC/DC.\n\nWhat is Sonar Context Augmentation?\n\nSonar Context Augmentation is a service that injects real-time, deep knowledge from SonarQube directly into your AI agent’s workflow. It uses the SonarQube MCP Server to act as a bridge between your enterprise codebase and your AI coding tools.\n\nBy providing this \"repo-aware\" context, Context Augmentation helps AI coding agents understand the specific environment they are working in before they ever generate a line of code.\n\nHow Sonar Context Augmentation works\n\nSonar Context Augmentation provides the exact, filtered information an AI agent needs to get the job right on the first try:\n\nDynamic context guidelines: Instead of overwhelming an agent with thousands of rules, Context Augmentation identifies the most relevant coding standards based on what you are asking and the history of the specific files being modified.\n\nArchitectural awareness: It gives the agent a structural map of your code, including class hierarchies and function flows, so it respects your intended code architecture and avoids creating technical debt.\n\nSmarter search: Agents can find specific code sections using exact signatures and body patterns rather than simple text matches, leading to more accurate modifications.\n\nWhy context matters\n\nWhen an agent has the right context, the agentic output is more accurate, faster, and carries less risk for long-term architectural drift. Experience increased build pass rates, increased test pass rates, significantly reduced code duplication, and reduced cognitive complexity. All of this matters for achieving the real productivity promise of AIgen code.\n\nOur benchmarking also shows that when an agent has the right context, it doesn't just write better code—it works more efficiently. Organizations using Context Augmentation can expect to see reduction in token usage, tool calls, and overall AI operating costs, in particular when working in complex code bases.\n\nBy defining the \"rules of engagement\" upfront, developers spend less time fixing AI-generated code errors and more time shipping high-quality software.\n\nTry it out during our beta\n\nThe Sonar Context Augmentation beta is available starting today. To participate, you will need:\n\nSonarQube Cloud Team or Enterprise annual or monthly plan\n\nSonarQube MCP Server\n\nAn AI agent like Cursor, GitHub Copilot or Claude Code\n\nAny language project to leverage intelligent guidelines\n\nA Java, C#, Python, JavaScript or TypeScript project to leverage architectural awareness (intended architecture must be set configured for the project to leverage your intended architecture)\n\nNOTE: Context Augmentation only supports projects using CI-based analysis. Projects using Automatic analysis in SonarQube Cloud will not work with Context Augmentation.\n\nFor detailed steps to set up Sonar Context Augmentation see our documentation. We hope you will try it out during the beta and explore how agents like Cursor and Claude Code can follow your organization’s specific standards from the first prompt.\n\nThanks! Build trust into every line of code\n\n 4.6 / 5 Solutions Products Pricing __ais-highlight__Company__/ais-highlight__ Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/__ais-highlight__company__/ais-highlight__/sonarsource/","fullyHighlighted",[15394],{"_189":14777,"_263":15463,"_15411":15464,"_15370":15471,"_250":15400,"_15429":15400,"_40":15472,"_15431":15432,"_15433":15473,"_15435":15474,"_15441":15476},"2026-03-31T12:50:48.9841447Z",{"_39":15413,"_409":15465,"_36":15466,"_89":15467,"_5341":15468,"_5346":42,"_134":8959,"_8808":15466,"_15418":8852,"_15419":15420,"_5376":5348,"_5362":15469,"_15422":15470},"https://assets-eu-01.kc-usercontent.com:443/ef593040-b591-0198-9506-ed88b30bc023/ef73883b-0a3b-447e-9e54-29b4a66c8f48/agentic_analysis_beta_1399_blog_hero_social_landscape_2x.webp","SonarQube Agentic Analysis: Verify AI code as it is generated","Verify AI code in real-time to stop security risks before PRs. Use the trusted SonarQube engine to find & fix agent errors in seconds. Join the beta now.","Prasenjit Sarkar",[2785],[],[15425],"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research Company Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents TL;DR overview The agentic era needs a new development cycle How SonarQube Agentic Analysis works Why Agentic Analysis matters Get started with the open beta Start your free trial Verify all code. Find and fix issues faster with SonarQube. Update — March 2026: This article was originally published on March 3rd, 2026, when we launched the closed beta of SonarQube Agentic Analysis for Enterprise customers. We are now announcing the open beta—expanding access to all SonarQube Cloud Teams and Enterprise plan customers.\n\n\n\n\nTL;DR overview\n\nSonarQube Agentic Analysis is a beta service that brings trusted SonarQube analysis directly into AI coding agents' workflows, enabling agents to verify code in real time as it is generated.\n\nIntegrated via the SonarQube MCP Server, the agent can \"ask\" SonarQube to check its work—catching security risks and logic errors before a developer ever reviews a pull request.\n\nThe service automatically applies existing SonarQube quality profiles to AI-generated code, removing the need to manually teach agents company-specific rules.\n\nCurrently available for SonarQube Cloud Enterprise Plan users, supporting Java, JavaScript/TypeScript, and Python, with .NET, C/C++, secrets detection, and IaC domains coming soon.\n\nThe agentic era needs a new development cycle\n\nAI agents are generating code faster than the processes built to govern it. Speed without guardrails creates risk — and code that isn't reliable, secure, and maintainable is a liability regardless of who wrote it.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC) — a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. The SonarQube Agentic Analysis is Sonar's solution to the Verify stage.\n\nHow SonarQube Agentic Analysis works\n\nAgentic Analysis connects your AI coding tool to SonarQube’s systematic analysis engine used in your final code reviews. Integrated within the SonarQube MCP Server, your AI agent can now \"ask\" SonarQube to check its work in real-time.\n\nIf the AI suggests code that is functional but contains a security risk or a logic error, Agentic Analysis identifies that mistake quickly. This allows the agent to see its own error and fix it before a human developer reviews it.\n\nWhy Agentic Analysis matters\n\nFix mistakes at the source: Instead of a developer finding errors in a Pull Request hours after they were written, the AI finds and corrects its own mistakes while it is still writing.\n\nBeyond basic checkers: Standard code checkers (linters) usually look at only one file at a time, missing bugs that require an understanding of the wider codebase. Agentic Analysis uses full project context to find these deeper issues.\n\nAutomatic standards: You don’t have to manually teach every AI agent your company's specific coding rules. Agentic Analysis automatically applies your existing SonarQube quality profiles to the AI’s work.\n\nStay in the flow: Developers can spend their time solving problems and reviewing logic, rather than acting as manual gatekeepers who have to fix AI generated issues.\n\nGet started with the open beta\n\nThe SonarQube Agentic Analysis is now available for SonarQube Cloud Teams and Enterprise accounts. During the beta phase, it is free to use (no sign-up or waitlist required) \n\nDuring this phase, the service supports the following languages:\n\nJava, JavaScript/TypeScript, Python, .NET, and C/C++\n\nAdditional coverage: Secrets detection and IaC domains (Docker, Kubernetes, Terraform)\n\nOur goal is to ensure that the productivity improvements that AI promises aren’t hindered by discovering issues late in the process when they take more time to fix.\n\nEnable it from your SonarQube Cloud settings Build trust into every line of code\n\n 4.6 / 5 Solutions Products Pricing Company Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/company/sonarsource/","blogpost___code_architecture_management_general_av-0",{"_40":15475},{"_41":15438,"_15439":15440},{"_15411":15477,"_40":15490},{"_36":15478,"_89":15480,"_5341":15482,"_5346":15484,"_134":15486,"_8808":15488},{"_41":15466,"_15439":15445,"_15446":15479},[],{"_41":15467,"_15439":15445,"_15446":15481},[],{"_41":15468,"_15439":15445,"_15446":15483},[],{"_41":42,"_15439":15445,"_15446":15485},[],{"_41":8959,"_15439":15445,"_15446":15487},[],{"_41":15466,"_15439":15445,"_15446":15489},[],{"_41":15491,"_15439":15440,"_15460":6,"_15446":15492},"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents TL;DR overview The agentic era needs a new development cycle How SonarQube Agentic Analysis works Why Agentic Analysis matters Get started with the open beta Start your free trial Verify all code. Find and fix issues faster with SonarQube. Update — March 2026: This article was originally published on March 3rd, 2026, when we launched the closed beta of SonarQube Agentic Analysis for Enterprise customers. We are now announcing the open beta—expanding access to all SonarQube Cloud Teams and Enterprise plan customers.\n\n\n\n\nTL;DR overview\n\nSonarQube Agentic Analysis is a beta service that brings trusted SonarQube analysis directly into AI coding agents' workflows, enabling agents to verify code in real time as it is generated.\n\nIntegrated via the SonarQube MCP Server, the agent can \"ask\" SonarQube to check its work—catching security risks and logic errors before a developer ever reviews a pull request.\n\nThe service automatically applies existing SonarQube quality profiles to AI-generated code, removing the need to manually teach agents __ais-highlight__company__/ais-highlight__-specific rules.\n\nCurrently available for SonarQube Cloud Enterprise Plan users, supporting Java, JavaScript/TypeScript, and Python, with .NET, C/C++, secrets detection, and IaC domains coming soon.\n\nThe agentic era needs a new development cycle\n\nAI agents are generating code faster than the processes built to govern it. Speed without guardrails creates risk — and code that isn't reliable, secure, and maintainable is a liability regardless of who wrote it.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC) — a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. The SonarQube Agentic Analysis is Sonar's solution to the Verify stage.\n\nHow SonarQube Agentic Analysis works\n\nAgentic Analysis connects your AI coding tool to SonarQube’s systematic analysis engine used in your final code reviews. Integrated within the SonarQube MCP Server, your AI agent can now \"ask\" SonarQube to check its work in real-time.\n\nIf the AI suggests code that is functional but contains a security risk or a logic error, Agentic Analysis identifies that mistake quickly. This allows the agent to see its own error and fix it before a human developer reviews it.\n\nWhy Agentic Analysis matters\n\nFix mistakes at the source: Instead of a developer finding errors in a Pull Request hours after they were written, the AI finds and corrects its own mistakes while it is still writing.\n\nBeyond basic checkers: Standard code checkers (linters) usually look at only one file at a time, missing bugs that require an understanding of the wider codebase. Agentic Analysis uses full project context to find these deeper issues.\n\nAutomatic standards: You don’t have to manually teach every AI agent your __ais-highlight__company__/ais-highlight__'s specific coding rules. Agentic Analysis automatically applies your existing SonarQube quality profiles to the AI’s work.\n\nStay in the flow: Developers can spend their time solving problems and reviewing logic, rather than acting as manual gatekeepers who have to fix AI generated issues.\n\nGet started with the open beta\n\nThe SonarQube Agentic Analysis is now available for SonarQube Cloud Teams and Enterprise accounts. During the beta phase, it is free to use (no sign-up or waitlist required) \n\nDuring this phase, the service supports the following languages:\n\nJava, JavaScript/TypeScript, Python, .NET, and C/C++\n\nAdditional coverage: Secrets detection and IaC domains (Docker, Kubernetes, Terraform)\n\nOur goal is to ensure that the productivity improvements that AI promises aren’t hindered by discovering issues late in the process when they take more time to fix.\n\nEnable it from your SonarQube Cloud settings Build trust into every line of code\n\n 4.6 / 5 Solutions Products Pricing __ais-highlight__Company__/ais-highlight__ Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/__ais-highlight__company__/ais-highlight__/sonarsource/",[15394],{"_189":14763,"_263":15494,"_15411":15495,"_15370":15502,"_250":15400,"_15429":15400,"_40":15503,"_15431":15432,"_15433":15504,"_15435":15505,"_15441":15507},"2026-03-31T12:50:30.408797Z",{"_39":15413,"_409":15496,"_36":15497,"_89":15498,"_5341":15417,"_5346":42,"_134":8959,"_8808":15499,"_15418":8852,"_15419":15420,"_5376":5348,"_5362":15500,"_15422":15501},"https://assets-eu-01.kc-usercontent.com:443/ef593040-b591-0198-9506-ed88b30bc023/9984a518-1a7e-44c6-80c0-8f249538d73b/ACDC-Blog-Hero_2x.png","The future of software development is AC/DC","As AI agents write more code, ensuring code quality and security becomes critical. Explore Sonar’s approach to code verification and technical debt reduction.","The Future of Software Development is AC/DC",[3191,9378,2785],[],[15427,15426,15425],"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research Company Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents TL;DR overview The Agent Centric Development Cycle Guide: Sonar Context Augmentation Verify: SonarQube Agentic Analysis Solve: SonarQube Remediation Agent Three products, one continuous loop TL;DR overview\n\nToday we are announcing open beta of three new products: Sonar Context Augmentation, SonarQube Agentic Analysis, and SonarQube Remediation Agent.\n\nAll three capabilities are available in open beta and are free during the beta period. They can be enabled using the administration interface.\n\nThese three betas deliver critical capabilities aligned to our Guide-Verify-Solve framework.\n\nRead on for the complete story on how these betas work together to power agent-driven development. \n\nAI agents are writing more code than ever before. As developers lean in with coding tools like Cursor, Claude Code, Codex, Gemini, and GitHub Copilot, they can now enlist AI agents to do in minutes what used to take hours or weeks. \n\nWe know that agents inherently generate a lot of code…and with it, a lot of issues. Pull requests that used to be 300 lines are now 3,000, and tomorrow might be 300,000.\n\nThe verbose, complex code that agents most often write can be harder to verify and maintain. Agents sometimes behave unpredictably and create unnecessary code. And in addition, they are often flying architecturally blind, silently violating structural boundaries and accumulating technical debt. \n\nIndependent, peer-reviewed academic research from Carnegie-Mellon University studied 807 open source projects that had adopted Cursor, and measured the impact on code quality using SonarQube. The study found that agent usage caused a temporary coding velocity spike, but it disappeared by the third month of usage. More disturbingly, agent usage caused a significant and persistent increase in code analysis warnings (+30%) and code complexity (+41%), which resulted in a longer term slowdown in development velocity.\n\nAI agent coding tools are extraordinary and powerful innovations that are reinventing the way software is built. But for organizations to take full advantage of their potential to actually improve coding velocity, they’ll need a new approach to AI code trust and verification.\n\nThe Agent Centric Development Cycle\n\nWe recently introduced a new framework for software development in the age of AI: the Agent Centric Development Cycle, or AC/DC. At its core, AC/DC defines four continuous stages that every AI-generated contribution should move through: \n\nGuide → Generate → Verify → Solve\n\nGuide. Before an agent writes a single line of code, it needs to understand the playing field—your standards, your architecture, your constraints, your compliance requirements. Without this, you're asking an agent to play a game without knowing the rules. Everything that follows reflects the quality of this guidance.\n\nGenerate. This is the AI's job. The AI agent creates code in a sandbox environment, iterating to solve larger problems before any code touches your main codebase.\n\nVerify. This is where deterministic-first, transparent, and multi-layered verification ensures the generated code meets your functional, non-functional, and compliance standards before it goes anywhere. This is the stage that breaks down most often—and the consequences can be dire.\n\nSolve. Issues identified in Verify are fed back to specialized repair agents to fix. And those lessons feed back into Guide, making the next iteration better. The cycle is self-improving.\n\nIf you want the full picture on AC/DC, our CEO Tariq Shaukat laid it out in detail here. \n\nToday’s announcement is about what Sonar has built to bring the Agent Centric Development Cycle to life.\n\nGuide: Sonar Context Augmentation\n\nThe problem: AI coding agents work in a vacuum. They don’t automatically know your team’s coding standards, your codebase’s architecture, or where the constraints and boundaries are. The result is code that works in isolation but breaks things when it’s integrated—leading to rework, frustration, and higher costs.\n\nWhat it does: Sonar Context Augmentation bridges that gap by injecting real-time, project-specific dynamic context from SonarQube directly into your AI agent’s workflow. Before the agent writes a line of code, it understands the playing field: the most relevant guidelines for the files it’s working with, the structure of your codebase, and the patterns it should follow.\n\nThis isn’t about dumping every rule into the agent’s context. Context Augmentation is smart about it—surfacing only the guidelines that are relevant to the task at hand, so agents get cleaner signals and less noise.\n\nThe results from our early benchmarks are striking: An increase in build pass rates, increase in test pass rates, a significant reduction in code duplication, and a drop in cognitive complexity. Agents also use fewer tool calls and consume fewer tokens, which means lower operating costs.\n\nLearn more →\n\nVerify: SonarQube Agentic Analysis\n\nThe problem: Typically, a developer only finds out that an AI-generated PR is broken when the quality gate fails—hours after the code was written. By then, fixing it is slow and costly. Standard code checkers don’t catch the kinds of deep, cross-file issues that SonarQube is built to find.\n\nWhat it does: SonarQube Agentic Analysis brings Sonar’s trusted code analysis engine directly into the AI agent’s generation loop. Rather than waiting until a developer reviews the pull request, the agent can ask SonarQube to check its work in real time, as the code is being written.\n\nIf the agent’s suggestion contains a security risk, a logic error, or a maintainability problem, Agentic Analysis catches it immediately. The agent sees the issue, corrects it, and moves on—before a human ever has to review it.\n\nThis is a meaningful shift: errors are caught at the source, not hours downstream. Software developers stay focused on code design and architecture, rather than acting as manual gatekeepers cleaning up AI mistakes.\n\nLearn more →\n\nSolve: SonarQube Remediation Agent\n\nThe problem: Finding a code issue is only half the job. Once Verify surfaces a problem, someone—or something—has to fix it. Today, that falls on software developers. It’s manual, repetitive, and pulls focus away from building new features.\n\nWhat it does: The SonarQube Remediation Agent closes the loop in two ways—and the second one is where it really changes the game.\n\nFor new code, it steps in the moment SonarQube flags an issue in a pull request, generating a fix before a developer has to chase it down.\n\nFor your backlog, it operates at a different scale entirely. Every codebase carries accumulated weight—security vulnerabilities, reliability gaps, maintainability problems that teams acknowledge but never quite clear. The Remediation Agent works through that backlog systematically, opening one pull request per issue so developers can review and merge each fix on their own terms. Years ","blogpost___introducing_base_support_for_code_verif_ae119ee-0",{"_40":15506},{"_41":15438,"_15439":15440},{"_15411":15508,"_40":15521},{"_36":15509,"_89":15511,"_5341":15513,"_5346":15515,"_134":15517,"_8808":15519},{"_41":15497,"_15439":15445,"_15446":15510},[],{"_41":15498,"_15439":15445,"_15446":15512},[],{"_41":15417,"_15439":15445,"_15446":15514},[],{"_41":42,"_15439":15445,"_15446":15516},[],{"_41":8959,"_15439":15445,"_15446":15518},[],{"_41":15499,"_15439":15445,"_15446":15520},[],{"_41":15522,"_15439":15440,"_15460":6,"_15446":15523},"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents TL;DR overview The Agent Centric Development Cycle Guide: Sonar Context Augmentation Verify: SonarQube Agentic Analysis Solve: SonarQube Remediation Agent Three products, one continuous loop TL;DR overview\n\nToday we are announcing open beta of three new products: Sonar Context Augmentation, SonarQube Agentic Analysis, and SonarQube Remediation Agent.\n\nAll three capabilities are available in open beta and are free during the beta period. They can be enabled using the administration interface.\n\nThese three betas deliver critical capabilities aligned to our Guide-Verify-Solve framework.\n\nRead on for the complete story on how these betas work together to power agent-driven development. \n\nAI agents are writing more code than ever before. As developers lean in with coding tools like Cursor, Claude Code, Codex, Gemini, and GitHub Copilot, they can now enlist AI agents to do in minutes what used to take hours or weeks. \n\nWe know that agents inherently generate a lot of code…and with it, a lot of issues. Pull requests that used to be 300 lines are now 3,000, and tomorrow might be 300,000.\n\nThe verbose, complex code that agents most often write can be harder to verify and maintain. Agents sometimes behave unpredictably and create unnecessary code. And in addition, they are often flying architecturally blind, silently violating structural boundaries and accumulating technical debt. \n\nIndependent, peer-reviewed academic research from Carnegie-Mellon University studied 807 open source projects that had adopted Cursor, and measured the impact on code quality using SonarQube. The study found that agent usage caused a temporary coding velocity spike, but it disappeared by the third month of usage. More disturbingly, agent usage caused a significant and persistent increase in code analysis warnings (+30%) and code complexity (+41%), which resulted in a longer term slowdown in development velocity.\n\nAI agent coding tools are extraordinary and powerful innovations that are reinventing the way software is built. But for organizations to take full advantage of their potential to actually improve coding velocity, they’ll need a new approach to AI code trust and verification.\n\nThe Agent Centric Development Cycle\n\nWe recently introduced a new framework for software development in the age of AI: the Agent Centric Development Cycle, or AC/DC. At its core, AC/DC defines four continuous stages that every AI-generated contribution should move through: \n\nGuide → Generate → Verify → Solve\n\nGuide. Before an agent writes a single line of code, it needs to understand the playing field—your standards, your architecture, your constraints, your compliance requirements. Without this, you're asking an agent to play a game without knowing the rules. Everything that follows reflects the quality of this guidance.\n\nGenerate. This is the AI's job. The AI agent creates code in a sandbox environment, iterating to solve larger problems before any code touches your main codebase.\n\nVerify. This is where deterministic-first, transparent, and multi-layered verification ensures the generated code meets your functional, non-functional, and compliance standards before it goes anywhere. This is the stage that breaks down most often—and the consequences can be dire.\n\nSolve. Issues identified in Verify are fed back to specialized repair agents to fix. And those lessons feed back into Guide, making the next iteration better. The cycle is self-improving.\n\nIf you want the full picture on AC/DC, our CEO Tariq Shaukat laid it out in detail here. \n\nToday’s announcement is about what Sonar has built to bring the Agent Centric Development Cycle to life.\n\nGuide: Sonar Context Augmentation\n\nThe problem: AI coding agents work in a vacuum. They don’t automatically know your team’s coding standards, your codebase’s architecture, or where the constraints and boundaries are. The result is code that works in isolation but breaks things when it’s integrated—leading to rework, frustration, and higher costs.\n\nWhat it does: Sonar Context Augmentation bridges that gap by injecting real-time, project-specific dynamic context from SonarQube directly into your AI agent’s workflow. Before the agent writes a line of code, it understands the playing field: the most relevant guidelines for the files it’s working with, the structure of your codebase, and the patterns it should follow.\n\nThis isn’t about dumping every rule into the agent’s context. Context Augmentation is smart about it—surfacing only the guidelines that are relevant to the task at hand, so agents get cleaner signals and less noise.\n\nThe results from our early benchmarks are striking: An increase in build pass rates, increase in test pass rates, a significant reduction in code duplication, and a drop in cognitive complexity. Agents also use fewer tool calls and consume fewer tokens, which means lower operating costs.\n\nLearn more →\n\nVerify: SonarQube Agentic Analysis\n\nThe problem: Typically, a developer only finds out that an AI-generated PR is broken when the quality gate fails—hours after the code was written. By then, fixing it is slow and costly. Standard code checkers don’t catch the kinds of deep, cross-file issues that SonarQube is built to find.\n\nWhat it does: SonarQube Agentic Analysis brings Sonar’s trusted code analysis engine directly into the AI agent’s generation loop. Rather than waiting until a developer reviews the pull request, the agent can ask SonarQube to check its work in real time, as the code is being written.\n\nIf the agent’s suggestion contains a security risk, a logic error, or a maintainability problem, Agentic Analysis catches it immediately. The agent sees the issue, corrects it, and moves on—before a human ever has to review it.\n\nThis is a meaningful shift: errors are caught at the source, not hours downstream. Software developers stay focused on code design and architecture, rather than acting as manual gatekeepers cleaning up AI mistakes.\n\nLearn more →\n\nSolve: SonarQube Remediation Agent\n\nThe problem: Finding a code issue is only half the job. Once Verify surfaces a problem, someone—or something—has to fix it. Today, that falls on software developers. It’s manual, repetitive, and pulls focus away from building new features.\n\nWhat it does: The SonarQube Remediation Agent closes the loop in two ways—and the second one is where it really changes the game.\n\nFor new code, it steps in the moment SonarQube flags an issue in a pull request, generating a fix before a developer has to chase it down.\n\nFor your backlog, it operates at a different scale entirely. Every codebase carries accumulated weight—security vulnerabilities, reliability gaps, maintainability problems that teams acknowledge but never quite clear. The Remediation Agent works through that backlog systematically, opening one pull request per issue so developers can review and merge each fix on their own terms. Years ",[15394],{"_189":14791,"_263":15525,"_15411":15526,"_15370":15535,"_250":15400,"_15429":15400,"_40":15537,"_15431":15432,"_15433":15538,"_15435":15539,"_15441":15541},"2026-03-31T12:51:53.4290746Z",{"_39":15413,"_409":15527,"_36":15528,"_89":15529,"_5341":15468,"_5346":42,"_134":8959,"_8808":15530,"_15418":8852,"_15419":15531,"_5376":5348,"_5362":15532,"_15422":15534},"https://assets-eu-01.kc-usercontent.com:443/ef593040-b591-0198-9506-ed88b30bc023/601612a0-bc6e-4919-86b3-d5e7138fd58f/sq_remediation_agent_blog_featured.webp","Beyond finding issues: Join the SonarQube Remediation Agent Beta","The biggest bottleneck in any modern CI/CD pipeline isn’t writing the code—it’s the “review-fix-verify” loop that happens when a quality gate fails. Today, we’re taking a step toward closing that loop by opening sign-ups for the SonarQube Remediation Agent Beta.","Join the SonarQube Remediation Agent Beta","2026-03-31T13:00:00Z",[15533,2785],"Company news",[],[15536,15425],"Category:Company news","Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research Company Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents The agentic era needs a new development cycle What is SonarQube Remediation Agent? The three key differentiators How it fits your workflow Get started with the open beta Join the beta The Remediation Agent is currently available for SonarQube Cloud Enterprise accounts Update — March 2026: This article was originally published on February 11, 2026, when we launched the closed beta of SonarQube Remediation Agent for Enterprise customers. We are now opening up the beta and expanding access to all SonarQube Cloud Teams and Enterprise annual plan customers.\n\nThe agentic era needs a new development cycle\n\nAI agents are generating code faster than the processes built to govern it. Speed without guardrails creates risk — and code that isn't reliable, secure, and maintainable is a liability regardless of who wrote it.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC) — a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. The SonarQube Remediation Agent is Sonar's solution to the Solve stage.\n\nWhat is SonarQube Remediation Agent?\n\nSonarQube Remediation Agent is an AI agent that fixes issues discovered by SonarQube during code analysis — automatically, and with built-in verification to make sure the fix actually works.\n\nThe three key differentiators\n\nThe “architecture of trust”: This is the core difference. The agent uses a hybrid validation approach. It doesn’t blindly trust the LLM’s output. It runs an internal verification loop where it applies the patch in a sandbox and re-scans it using the Sonar code analysis engine. If the fix introduces a new code security vulnerability or fails to solve the original issue, it is discarded.\n\nBacklog fixes via “Assign to Agent”: Now expanded in open beta. For existing issues on the main branch, a new “Assign to Agent” button on the Issues page lets developers select backlog issues and send them directly to the agent. The agent autonomously identifies the necessary changes and opens a new Pull Request (PR) per issue — which developers can then review, test, and merge. When multiple issues are assigned to the agent simultaneously, it opens one pull request per issue — keeping changes focused and easy for developers to review individually..\n\nDeveloper-in-the-loop workflow: It doesn’t force changes into your main branch. Instead, the Agent creates PRs now for both use cases. For in-progress PRs, the agent opens a new PR targeting the original branch. Developers review and merge it on their own terms — nothing is forced into your codebase.\n\nHow it fits your workflow\n\nTargeted fixes: It focuses exclusively on the “new code” in your PR. If a change breaks the quality gate, the agent identifies why and proposes a solution.\n\nBacklog fixes: For existing issues in your main branch, use 'Assign to Agent' to send backlog items directly to the agent — no manual triage required.\n\nVerification before suggestion: Before you ever see a suggestion, the agent runs a background check to ensure its proposed fix doesn’t introduce new issues.\n\nLanguage support: Covers Java, JavaScript/TypeScript, and Python, including remediation for exposed secrets.\n\nWorks with GitHub: The Remediation Agent integrates with GitHub repositories.\n\nGet started with the open beta\n\nThe Remediation Agent is now available for SonarQube Cloud Annual Teams and Enterprise accounts, free to use during the beta period — and open to the first 500 organisations that enroll, so don't wait.\n\nIf you’re tired of the manual toil involved in clearing quality gate hurdles and want to focus on shipping features instead of chasing code smells, the Remediation Agent is ready for you to try today.\n\nEnable it from your SonarQube Cloud settings Solutions Products Pricing Company Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/company/sonarsource/","blogpost___join_us_at_sonar_summit__copy_-0",{"_40":15540},{"_41":15438,"_15439":15440},{"_15411":15542,"_40":15555},{"_36":15543,"_89":15545,"_5341":15547,"_5346":15549,"_134":15551,"_8808":15553},{"_41":15528,"_15439":15445,"_15446":15544},[],{"_41":15529,"_15439":15445,"_15446":15546},[],{"_41":15468,"_15439":15445,"_15446":15548},[],{"_41":42,"_15439":15445,"_15446":15550},[],{"_41":8959,"_15439":15445,"_15446":15552},[],{"_41":15530,"_15439":15445,"_15446":15554},[],{"_41":15556,"_15439":15440,"_15460":6,"_15446":15557},"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of contents The agentic era needs a new development cycle What is SonarQube Remediation Agent? The three key differentiators How it fits your workflow Get started with the open beta Join the beta The Remediation Agent is currently available for SonarQube Cloud Enterprise accounts Update — March 2026: This article was originally published on February 11, 2026, when we launched the closed beta of SonarQube Remediation Agent for Enterprise customers. We are now opening up the beta and expanding access to all SonarQube Cloud Teams and Enterprise annual plan customers.\n\nThe agentic era needs a new development cycle\n\nAI agents are generating code faster than the processes built to govern it. Speed without guardrails creates risk — and code that isn't reliable, secure, and maintainable is a liability regardless of who wrote it.\n\nTo address this, Sonar introduced the Agent Centric Development Cycle (AC/DC) — a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. The SonarQube Remediation Agent is Sonar's solution to the Solve stage.\n\nWhat is SonarQube Remediation Agent?\n\nSonarQube Remediation Agent is an AI agent that fixes issues discovered by SonarQube during code analysis — automatically, and with built-in verification to make sure the fix actually works.\n\nThe three key differentiators\n\nThe “architecture of trust”: This is the core difference. The agent uses a hybrid validation approach. It doesn’t blindly trust the LLM’s output. It runs an internal verification loop where it applies the patch in a sandbox and re-scans it using the Sonar code analysis engine. If the fix introduces a new code security vulnerability or fails to solve the original issue, it is discarded.\n\nBacklog fixes via “Assign to Agent”: Now expanded in open beta. For existing issues on the main branch, a new “Assign to Agent” button on the Issues page lets developers select backlog issues and send them directly to the agent. The agent autonomously identifies the necessary changes and opens a new Pull Request (PR) per issue — which developers can then review, test, and merge. When multiple issues are assigned to the agent simultaneously, it opens one pull request per issue — keeping changes focused and easy for developers to review individually..\n\nDeveloper-in-the-loop workflow: It doesn’t force changes into your main branch. Instead, the Agent creates PRs now for both use cases. For in-progress PRs, the agent opens a new PR targeting the original branch. Developers review and merge it on their own terms — nothing is forced into your codebase.\n\nHow it fits your workflow\n\nTargeted fixes: It focuses exclusively on the “new code” in your PR. If a change breaks the quality gate, the agent identifies why and proposes a solution.\n\nBacklog fixes: For existing issues in your main branch, use 'Assign to Agent' to send backlog items directly to the agent — no manual triage required.\n\nVerification before suggestion: Before you ever see a suggestion, the agent runs a background check to ensure its proposed fix doesn’t introduce new issues.\n\nLanguage support: Covers Java, JavaScript/TypeScript, and Python, including remediation for exposed secrets.\n\nWorks with GitHub: The Remediation Agent integrates with GitHub repositories.\n\nGet started with the open beta\n\nThe Remediation Agent is now available for SonarQube Cloud Annual Teams and Enterprise accounts, free to use during the beta period — and open to the first 500 organisations that enroll, so don't wait.\n\nIf you’re tired of the manual toil involved in clearing quality gate hurdles and want to focus on shipping features instead of chasing code smells, the Remediation Agent is ready for you to try today.\n\nEnable it from your SonarQube Cloud settings Solutions Products Pricing __ais-highlight__Company__/ais-highlight__ Media Resources Knowledge © 2026 SonarSource Sàrl. All rights reserved. Follow SonarSource on Twitter https://twitter.com/sonarsource Follow SonarSource on Linkedin https://www.linkedin.com/__ais-highlight__company__/ais-highlight__/sonarsource/",[15394],{"_189":14765,"_263":15559,"_15411":15560,"_15370":15568,"_250":15400,"_15429":15400,"_40":15570,"_15431":15432,"_15433":15571,"_15435":15572,"_15441":15574},"2026-03-25T18:53:30.7391879Z",{"_39":15413,"_409":15561,"_36":15562,"_89":15563,"_5341":15564,"_5346":42,"_134":8959,"_8808":15562,"_15418":8852,"_15419":15565,"_5376":5348,"_5362":15566,"_15422":15567},"https://assets-eu-01.kc-usercontent.com:443/ef593040-b591-0198-9506-ed88b30bc023/3c138d18-bff3-4fc1-9fa9-2471abb82ace/sonarqube_server_2026_2_blog_header.webp","Announcing SonarQube Server 2026.2","A redesigned interface, AI fix suggestions powered by your own model, expanded language support, and unified security reporting.","Robert Curlee","2026-03-25T16:00:00Z",[249,9378,3191],[],[15569,15426,15427],"Category:SonarQube Server","Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research Company Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of Contents Developer experience & productivity Expanded language and framework support Enterprise security & governance Update or migrate today Today, we are thrilled to announce the release of SonarQube Server 2026.2. This release brings a redesigned developer workspace, expanded analysis to catch hard-to-spot bugs in more languages and frameworks, and updated security reporting that covers both your code and third-party dependencies.\n\nDeveloper experience & productivity\n\nThis release makes it easier to navigate the platform and faster to act on issues.\n\nRedesigned navigation and workspace experience: We've overhauled the UI with an intuitive vertical sidebar and a new context switcher. Software developers and leaders can instantly jump between portfolios and projects without losing their place, reducing cognitive load and accelerating issue discovery.\n\nModel-agnostic AI CodeFix: Spend less time researching and more time building. We are introducing intelligent, model-agnostic remediation suggestions directly within your secure self-managed environment. This ensures code vulnerabilities are patched quickly while your proprietary source code remains safely behind your firewall, completely shielded from public LLMs.\n\nExpanded language and framework support\n\nWe have expanded to support the latest enterprise frameworks, specifically targeting the subtle bugs introduced by modern AI coding assistants.\n\nComprehensive Java 25 support: Safely adopt Java 25 LTS paradigms with error-free parsing and deep semantic analysis. We've added critical rules to catch syntactically valid but semantically broken code, often generated by AI assistants trained on outdated preview APIs, preventing severe runtime crashes.\n\nDeepened Python web frameworks: Elevate your Python applications from merely functional to production-resilient. We've added extensive new rules for FastAPI, Flask, and Django to enforce API contracts, ensure RESTful compliance, and harden infrastructure against data leaks.\n\nFirst-class Groovy support:: Extend code quality standards to your DevOps pipelines with over 20 new quality rules for Groovy. \n\nEnhanced Apex support: For Salesforce teams, our enhanced Apex support achieves PMD parity with a false-positive rate of less than 5%, allowing you to consolidate all development tooling into a single platform.\n\nEnterprise security & governance\n\nSoftware security leaders and compliance officers now have the granular controls and holistic reporting needed to manage risk across both proprietary code and third-party dependencies.\n\nStructured in-code issue resolution (sonar-resolve): We are replacing the blind \"all-or-nothing\" NOSONAR comment. Software developers can now use sonar-resolve to silence specific rules with a mandatory status directly in the code. This bridges the gap between frictionless developer workflows and the rigorous auditability required by compliance standards like MISRA C++:2023.\n\nUnified dependency risks in security reports: SonarQube Advanced Security customers gain a holistic view of their software's security posture. Our executive-ready reports and exported PDFs now natively weave Software Composition Analysis (SCA) data together with first-party code health info, reflecting the true risk of your entire software supply chain. Additionally, Software Bill of Materials (SBOM) and dependency risk data is now included in the project regulatory report download.\n\nAdvanced SAST configurations for Python top 1K: We've massively boosted security analysis accuracy for Python. The Advanced SAST engine in SonarQube Advanced Security now tracks tainted data out-of-the-box across the top 1,000 most utilized Python libraries, greatly reducing false negatives without requiring manual setup.\n\nUpdate or migrate today\n\nUpdate your instance to SonarQube Server 2026.2 today to take advantage of these new capabilities.\n\nLearn about migrating to SonarQube Cloud—same enterprise capabilities, with automatic updates so your team always has access to the latest features without managing another version update. Contact sales to discuss migrating now. Build trust into every line of code\n\n 4.6 / 5","blogpost___from_intent_extra_to_rce__argument_inje_94fdf40-0",{"_40":15573},{"_41":15438,"_15439":15440},{"_15411":15575,"_40":15588},{"_36":15576,"_89":15578,"_5341":15580,"_5346":15582,"_134":15584,"_8808":15586},{"_41":15562,"_15439":15445,"_15446":15577},[],{"_41":15563,"_15439":15445,"_15446":15579},[],{"_41":15564,"_15439":15445,"_15446":15581},[],{"_41":42,"_15439":15445,"_15446":15583},[],{"_41":8959,"_15439":15445,"_15446":15585},[],{"_41":15562,"_15439":15445,"_15446":15587},[],{"_41":15589,"_15439":15440,"_15460":6,"_15446":15590},"Products SonarQube products Cloud-based static analysis tool for your CI/CD workflows Self-managed static analysis tool for continuous codebase inspection Free IDE extension that provides on-the-fly analysis and coding guidance Improve code produced by LLMs Early access Secure use of open source code with advanced SAST and SCA Bring code quality and security into your AI workflow Open betas Verify AI code as it's written by agents Guidance for coding agents from the first prompt Fix code issues at scale, on demand. Why Sonar Use cases Validate AI code for security and quality Secure apps and prevent vulnerabilities Ensure secure, high-quality code Remove friction and boost productivity Automate proof of code compliance Align AI and developer standards Catch code secrets in development Explore Industries Customer recognition Developers For developers Documentation Integrations 40+ languages & frameworks Resources Get started Explore Research __ais-highlight__Company__/ais-highlight__ Learn about Sonar Join us! Upcoming events Webinar April 29 | 10am CDT Global event May 12 - October 15th Table of Contents Developer experience & productivity Expanded language and framework support Enterprise security & governance Update or migrate today Today, we are thrilled to announce the release of SonarQube Server 2026.2. This release brings a redesigned developer workspace, expanded analysis to catch hard-to-spot bugs in more languages and frameworks, and updated security reporting that covers both your code and third-party dependencies.\n\nDeveloper experience & productivity\n\nThis release makes it easier to navigate the platform and faster to act on issues.\n\nRedesigned navigation and workspace experience: We've overhauled the UI with an intuitive vertical sidebar and a new context switcher. Software developers and leaders can instantly jump between portfolios and projects without losing their place, reducing cognitive load and accelerating issue discovery.\n\nModel-agnostic AI CodeFix: Spend less time researching and more time building. We are introducing intelligent, model-agnostic remediation suggestions directly within your secure self-managed environment. This ensures code vulnerabilities are patched quickly while your proprietary source code remains safely behind your firewall, completely shielded from public LLMs.\n\nExpanded language and framework support\n\nWe have expanded to support the latest enterprise frameworks, specifically targeting the subtle bugs introduced by modern AI coding assistants.\n\nComprehensive Java 25 support: Safely adopt Java 25 LTS paradigms with error-free parsing and deep semantic analysis. We've added critical rules to catch syntactically valid but semantically broken code, often generated by AI assistants trained on outdated preview APIs, preventing severe runtime crashes.\n\nDeepened Python web frameworks: Elevate your Python applications from merely functional to production-resilient. We've added extensive new rules for FastAPI, Flask, and Django to enforce API contracts, ensure RESTful compliance, and harden infrastructure against data leaks.\n\nFirst-class Groovy support:: Extend code quality standards to your DevOps pipelines with over 20 new quality rules for Groovy. \n\nEnhanced Apex support: For Salesforce teams, our enhanced Apex support achieves PMD parity with a false-positive rate of less than 5%, allowing you to consolidate all development tooling into a single platform.\n\nEnterprise security & governance\n\nSoftware security leaders and compliance officers now have the granular controls and holistic reporting needed to manage risk across both proprietary code and third-party dependencies.\n\nStructured in-code issue resolution (sonar-resolve): We are replacing the blind \"all-or-nothing\" NOSONAR comment. Software developers can now use sonar-resolve to silence specific rules with a mandatory status directly in the code. This bridges the gap between frictionless developer workflows and the rigorous auditability required by compliance standards like MISRA C++:2023.\n\nUnified dependency risks in security reports: SonarQube Advanced Security customers gain a holistic view of their software's security posture. Our executive-ready reports and exported PDFs now natively weave Software Composition Analysis (SCA) data together with first-party code health info, reflecting the true risk of your entire software supply chain. Additionally, Software Bill of Materials (SBOM) and dependency risk data is now included in the project regulatory report download.\n\nAdvanced SAST configurations for Python top 1K: We've massively boosted security analysis accuracy for Python. The Advanced SAST engine in SonarQube Advanced Security now tracks tainted data out-of-the-box across the top 1,000 most utilized Python libraries, greatly reducing false negatives without requiring manual setup.\n\nUpdate or migrate today\n\nUpdate your instance to SonarQube Server 2026.2 today to take advantage of these new capabilities.\n\nLearn about migrating to SonarQube Cloud—same enterprise capabilities, with automatic updates so your team always has access to the latest features without managing another version update. Contact sales to discuss migrating now. 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