Sonar Summit 2026 | Building self-validation and guardrails into AI coding systems скачать в хорошем качестве

Sonar Summit 2026 | Building self-validation and guardrails into AI coding systems

AI is writing a significant chunk of new code at major tech companies, yet generating code faster doesn't automatically mean shipping quality faster. Review times are climbing, incidents are up, and security vulnerabilities slip through. This fireside chat introduces the “AI Validation Pyramid”: a systematic framework where validation is defined in the structured plan before any code is written. The AI handles the foundation—type checking, linting, unit tests, and integration/e2e testing—while humans own the layers that matter most: code review and manual verification. Humans stay in the driver's seat at both ends: dictating the plan upfront and doing final verification. The AI executes and self-validates in between. This avoids the pitfalls of pure vibe coding while still leveraging AI's speed and capability. Human-in-the-loop doesn't mean human at every step. It means humans at the boundaries that matter.