The New AI Coding Fabric
summary
Argues that a new infra layer — an AI Coding Fabric — is forming to support autonomous coding agents, and lists concrete needs: spec registries and versioned spec evals, long-running sandboxes for safe agent execution, proxies to swap models, and tracing/observability plus provenance for context. Describes real prototypes: replacing six months of onboarding code with prompt-driven agent onboarding, Skill/Agent MD and Terraform style guides as packaged context, end-to-end BDD-like tests and flaky CI mitigations, context package registries, and runtime hooks that scan skill files before loading.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:30Context as new code
- 3:39Context lifecycle
- 7:18Generating context
- 10:52CI/CD for context
- 13:01Context package managers
- 15:34Distributing context
- 18:04Observability for context
- 20:51Context in AI agents
- 22:37Future of context
- 23:19Q&A
