Context Is the New Code for AI Agents
summary
Argues that context needs a development lifecycle with concrete practices: linting and testing prompts and skills using unit-like task files and using LLM as judge for evals; packaging and versioning context as publishable artifacts in a registry for approved organizational context with security scans; observing agent and app logs to measure drift and a new metric (agent retries or “hops” per task); a human harness and context retrospectives drive iterative improvement and reduced failure rates.
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chapters (5)
- 0:00Context is the new code
- 2:47Linting and testing agent context
- 5:54Registries for blessed organizational context
- 9:09The human harness
- 11:41Measuring quality and managing drift
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