ArticleWhat is a context layer for AI agents? Data context vs product context
Most context layer definitions are written for data agents. What one holds when agents build software.
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Product thinking, field reports, and releases from the team building the context layer for production-grade product work.
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10 published entries
ArticleNo, but the job moves. Agents take the drafting; PMs keep the bets, the trade-offs and the context agents need.
ArticleA step-by-step discovery process for teams using AI: where it speeds up research, and where judgment stays human.
ArticlePDLC decides what to build, SDLC decides how. What changes when AI agents shrink the handoff between them.
ArticleAgents can build, test and review. At enterprise scale, the hard part is getting them the decisions behind the work.
ArticleThree things people mean by software factory, what an agentic one automates, and the discovery gap it leaves open.
ArticleAI agents make building cheap, so the hard part moves to deciding what to build. Why PDLC and SDLC become one loop.
ArticleA useful spec records one product decision: a testable outcome, known boundaries, and what the team learns after release.
ArticleInstruction files work when they have one source of truth, a clear scope, and an owner instead of copies of a 500-line handbook.
ArticleA decision packet gives a coding agent the current decision, its evidence, its boundaries and proof of done.