Context-engineering

Autonomous software development works when agents write software in a loop: scoped tasks, selected context, sandboxed work, verification, review, and memory.

Context graphs turn agent activity into a durable record of decisions, exceptions, approvals, and precedent. That may be the next enterprise system of record.

Production agents get cheaper and more reliable when teams treat context as infrastructure, not as an ever-growing prompt.

What an LLM Wiki is, why it changes agent knowledge work, and how to build one with scoped topics, source manifests, page types, writeback, staging, search, and linting.

DESIGN.md gives AI coding agents a portable design contract: tokens, rationale, component rules, and constraints that help generated interfaces preserve a product’s visual identity.