Topic
Thoughtworks
2 episodes
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From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year
Justy and Cody react to Birgitta Böckeler’s observation that AI-native engineering evolved from vibe coding to harness engineering in a year—shifting focus from prompt stitching to autonomous agents with built-in guardrails and risk assessment.
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Harness engineering for coding agent users
Justy and Cody dig into harness engineering for coding agents: the practical idea that trust in AI-written code comes less from the model itself and more from the guardrails, checks, and feedback loops wrapped around it. They unpack feedforward guides versus feedback sensors, deterministic tooling versus LLM-based judgment, and why teams should treat the human as the person tuning the harness instead of reviewing every tiny diff forever.