Platform Engineering in the age of Generative AI
summary
Platform engineering meets generative AI but requires concrete controls: demos show GitHub Copilot, Claude, Cursor and Replit producing working code that introduces textbook failures (Cursor-built startup lacked auth/rate limits), NX’s compromised publish flow propagates malware to ~1,500 developers, and a Replit agent deletes ~1,200 company and executive records. The prescription is harness engineering with agent MD files, MCP servers and agent skills, spec-driven workflows, feed‑forward guides plus feedback sensors (linters, tests, LLM judges) to prevent and auto-correct agent errors.
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chapters (10)
- 0:00Introduction
- 3:32What is platform engineering
- 8:49AI coding assistants impact
- 13:01Risks of unchecked AI code
- 19:20Hyper velocity engineering
- 23:55MCP servers and agents
- 30:14Spec driven development
- 39:59Agentic harness fundamentals
- 54:31AI as amplifier
- 55:35Q&A
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