From AI Chaos to Production Ready: Using AI Agents to Improve Your Code Quality
summary
Claims that agentic AI improves end-to-end developer workflows by combining plan agent mode, code agent mode, and review workflow inside an editor extension for VS Code/JetBrains. Demonstration shows migration to fast MCP, an actual PR created and auto-reviewed, measurable reduction in lines of code, and concrete findings (missing logging, argument validation, backward-compat issues). Uses existing tools like GitHub Copilot, Cursor, Claude and a newer GPT5 model and shows suggestions can be auto-applied so the pipeline actually produces actionable, verifiable improvements.
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chapters (9)
- 0:00AI agents for code quality
- 2:13Agentic coding and vibe coding issues
- 6:43Production grade software
- 9:10AI in software lifecycle
- 13:29AI agent modes for planning
- 16:24Pre-PR code review
- 19:57Separate agents for writing/review
- 21:01Live demo: AI-driven PR review
- 23:09Q&A
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