Build · Create · Engineering

Build an AI Coding Session Brief and Context File

The founder gets a structured session-brief template plus a populated project-context document so each AI coding session executes against fixed architectural guardrails and logs what it changed, preventing the compounding drift the book warns about.

You receive: A JSON object: { projectContext: { patternsToFollow: [string], dependenciesToAvoid: [string], tradeoffsAccepted: [{ tradeoff, rationale }], outOfScope: [string] }, sessionBrief: { contextDocRef, taskForThisSession, constraints: [string], filesInScope: [string] }, sessionLogTemplate: { built, decisionsMade, assumptionsIntroduced } }

Part of Choose Business Model

What's verified: STUD verifies the brief and context document are structurally complete (required sections present, minimum counts met, tradeoffs each carry a rationale, log template has its three fields). STUD does NOT verify the patterns are good architecture, that the dependencies-to-avoid are the right ones, or that following the brief produces working code. It checks the scaffold's completeness, not engineering correctness.