
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow The End of Fragmented Agent Context
37 snips
Feb 3, 2026 They reveal results from testing 1,000+ agent skills and which skills help or hurt agent performance. They explain why anecdotal evidence is not enough and show how systematic evals and task reviews catch surprises. They describe treating skills as versioned software with package management, CI/CD, and observability to make reuse reliable.
AI Snips
Chapters
Transcript
Episode notes
Skills As Reusable Context Units
- Skills are a standard unit of reusable context that teach agents to do something.
- They enable progressive disclosure so agents load the right information at the right time.
Standardization Sparked Rapid Adoption
- A published standard (Anthropic's) rapidly aligned the industry and triggered ecosystem growth.
- The standard made skills accessible to non-developers and encouraged reuse across agents.
Three Context Types And Their Tradeoffs
- External context types fall into rules, skills, and docs, each with trade-offs in forcefulness and token cost.
- Choosing what to load and when is a zero-sum game for the context window.
