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The future is AC/DC: the Agent Centric Development Cycle

The era of Continuous Integration, with its familiar processes and workflows, is rapidly coming to an end. Traditional CI relies on developers making small, frequent, iterative commits. Today, the “continuous” part is changing.

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The Coding Personalities of Leading LLMs
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The Coding Personalities of Leading LLMs

Make smarter AI adoption decisions with Sonar's latest report in The State of Code series. Explore the habits, blind spots, and archetypes of the top five LLMs to uncover the critical risks each brings to your codebase.

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Securing Go Applications With SonarQube: Real-World Examples
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Securing Go Applications With SonarQube: Real-World Examples

Take a deep dive into some vulnerabilities in Go applications and understand how SonarQube Cloud helps developers detect and mitigate them during the development cycle.

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SonarQube IDE: Announcing support for AI-Native IDEs 
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SonarQube IDE: Announcing support for AI-Native IDEs 

As development velocity accelerates, so does the potential for introducing subtle bugs and new security vulnerabilities.

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Java24: Go deeper on parsing Java class files and broader with Stream gatherers
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Java24: Go deeper on parsing Java class files and broader with Stream gatherers

Version 24 version introduces several new language features which collectively simplify code, and provide powerful tools for bytecode manipulation and advanced stream processing.

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Sonar's Take: Software Development Under America's AI Action Plan
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Sonar's Take: Software Development Under America's AI Action Plan

The White House's "America's AI Action Plan" aims to accelerate innovation, but for software development, speed must not compromise security. Nathan Jones, VP of Public Sector at Sonar, explores the recently published plan, risks of AI-generated code, and explains how static analysis tools help ensure AI adoption is both fast and secure.

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