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About the Agent Centric Development Cycle
The Agent Centric Development Cycle helps you ensure code generated by agents is verified and issues are fixed before the code reaches your repository.
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The Agent Centric Development Cycle helps you ensure code generated by agents is verified and issues are fixed before the code reaches your repository.
The Agent Centric Development Cycle (AC/DC) is Sonar’s framework for building software in an AI-driven world, where agents handle much of the coding and humans govern quality. It defines a continuous 3-stage loop for every AI-assisted change:
Guide → Verify → Solve
Guide provides project context to agents before they write or edit code.
Verify analyzes the resulting code.
Solve fixes issues found during verification.
This workflow helps agents produce code that aligns more closely with project standards, catches issues earlier, and shortens the review-to-fix cycle.
The diagram below shows where AC/DC features fit in this cycle.
Context Augmentation provides project-specific context—coding guidelines, architectural information, and codebase context—to the AI agent before it writes or edits code. This reduces avoidable violations and inconsistent code patterns.
Agentic Analysis analyzes code during the agent workflow. The agent can use the analysis results to refine the code before review. This surfaces quality and security issues before they reach pull request review or CI.
Gitar, a separate Sonar product, posts inline review comments, change summaries, and on-demand walkthroughs and architecture diagrams directly on pull requests.
The Remediation Agent generates fix suggestions for issues found in pull requests and in the backlog. AI CodeFix generates fix suggestions for individual issues detected by SonarQube. This reduces manual rework and supports incremental cleanup of existing issues.
See the feature pages for product details and the how-to guides for setup and usage.
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