AI coding agents write code faster than any manual review process can check it, and that speed creates risk. This webinar shows how the SonarQube MCP Server and the SonarQube CLI work together to bring deterministic verification directly into the agentic inner loop, so agents produce higher-quality code from the start, issues get caught before they compound, and secrets never reach a prompt or a repository.

See how SonarQube integrates with Claude Code, Cursor, GitHub Copilot, and more, bringing the Guide, Verify, and Solve pillars into your agents' reasoning loop. Walk away with a clear picture of how to scale agentic development without losing the verification layer that keeps it safe.

Key takeaways:

• See how to use SonarQube MCP Server tools to query project health, surface issues, and run analysis directly inside your AI-native IDE.
• Learn how to use the SonarQube CLI to analyze local changes, scan dependencies, and more.
• See how SonarQube integrates with agent hooks and instructions so quality and security standards become part of how your agents reason, not a gate added after the fact.
• Understand how secrets detection built into the CLI and SonarQube MCP Server tools blocks credentials, API keys, and tokens from ever reaching agent prompts or repositories.