Make Quality Executable: Verification Gates for Agentic Engineering at Scale
summary
Claims that embedding verification gates at planning, implementation, local pre PR, CI and PR stages is the scalable way to keep code quality while using agentic code generation. Describes a built system: Codo with a context engine, a self‑learning rules engine, multi‑agent PR reviews, IDE and CLI local checks, and cross‑repo RAG analysis. Demonstrates automated rule suggestions, PR blockers for high severity issues, and fewer issues reaching merge with continuous learning.
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chapters (12)
- 0:00Agentic engineering and code quality
- 3:54AI in dev and trust issues
- 7:48Costs of poor code quality
- 9:10Verification layers for agentic engineering
- 14:31Verification gates beyond code review
- 15:34Planning gate and quality standards
- 18:42Implementation gate and local reviews
- 20:05Pull request gate and automated review
- 25:50Codo rules engine and portal
- 32:37Scaling verification for teams
- 39:45Summary and future of verification gates
- 40:50Q&A
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