Build Log · June 19, 2026

ForgeKit Operating System

The loop existed on paper. Today we wired the gears. Enforcement, learning pipeline, one-command retro.

  • ForgeKit
  • Engine
  • OS
preflight → ignition
1

preflight → ignition

processes streamlined
3

processes streamlined

drift detector built
1

drift detector built

patterns in registry
30+

patterns in registry

Timeline

  1. Start

    Loop audit

    Is steps 5+6 of the Forge Loop actually happening?

  2. 1h

    OS design

    4-layer architecture: identity, ignition, registry, assets

  3. 2h

    Enforcement built

    ignition.md, Pattern Registry, CLAUDE.md accurate

  4. 3h

    Learning pipeline

    reuse{} + learning[] schema, drift detector in build-trends

  5. 3.5h

    Processes

    retro, deploy, db:fresh — all single commands

What shipped

  • ignition.md — session arc replacing preflight.md: orient, environment, orientation check, deploy paths, known traps, harvest

  • Pattern Registry — reusable-patterns.md rewritten as scannable quick-ref table with §AI §UI §DB sections and detail records

  • CLAUDE.md — accurate now: real packages vs planned, single source of truth for repo map

  • Session JSON schema (_SCHEMA.md) — reuse{} and learning[] fields with promotion pipeline: proposed/applied/deferred/rejected

  • Drift detector in build-trends.mjs — reads learning[] across all sessions, flags unresolved proposed items, computes reuse rate

  • npm run retro — one command: build:session → build:trends → vercel --prod

  • npm run deploy:* — all four apps deployable from monorepo root

  • npm run db:fresh — push + seed in one command across forge, leashline, forgehome

“ForgeKit had memory. Now it has judgment.”
— ChatGPT design review, session on the learning pipeline