The software world has changed. Are you ready for it? AI assisted software development has triggered an evolution in coding and SonarQube is primed to respond. Over the last year, we have been moving at a break neck pace to build SonarQube into the verification layer developer teams need to keep up with the AI pace of change. AI has accelerated the rate of code creation, however 96% of developers mistrust the accuracy of code created by AI. This has transitioned developer attention away from writing more code and towards determining the validity of the coding results from AI and agentic tools. The new SonarQube Server 2026.1 LTA release empowers teams to write code at the pace of AI while automatically verifying the results, so teams can realize the productivity gains AI has promised.
Here's a quick preview of what to expect in the new LTA
- Ready for the the AI and agentic SDLC: Direct integrations with AI-native IDEs like Claude Code and Cursor allow you to verify AI-generated code instantly within your workflow. This enables teams to move at the speed of AI while ensuring all code contributions meet high standards for code quality and code security.
- Significantly enhanced code security: New software supply chain protection and advanced SAST for Java, C#, and Python help you catch malicious dependencies and complex vulnerabilities early. This "security by design" approach reduces noise and ensures you are shipping safe production-ready code.
- Dependable code quality: Updated analysis engines detect deep-seated bugs while significantly increasing analysis speeds for Python, JavaScript, TypeScript, and Kotlin. You spend less time waiting on builds and more time focusing on feature innovation.
- Expanded compliance standards: Full MISRA C++:2023 coverage and new security reports for OWASP, CWE, and STIG allow you to meet strict industry standards automatically. This simplifies the process of proving compliance for safe and secure applications.
- Broader language coverage: Support for Rust and the latest versions of C#, Java, Python and more ensures your entire tech stack, including AI/ML frameworks, is covered. You can adopt the newest language features while maintaining consistent code health.
- Deeper DevOps integrations: New connectivity with JFrog, Slack, and Jira brings code health insights directly into the tools dev teams use every day. This streamlines communication and makes managing quality a seamless part of your development process.
- Optimized platform operations: A new update sandbox prevents changed rules from immediately breaking your quality gates after an update. This provides the flexibility to maintain standards without interrupting your delivery pipeline or causing unnecessary build failures.
