learning_ai_clock/backend
root d840168d5c revert(docker): revert to docker-prep.sh approach due to workspace complexity
The base image approach is too complex for the current pnpm workspace structure.
Products cannot easily use the base image's workspace because pnpm expects all
workspace packages to be present during install. Reverting to the proven
docker-prep.sh tarball approach for now.

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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-05-09 23:35:41 +00:00
..
src fix(backend): remove stale TODO-008 comment, add telemetry to suggestions route 2026-04-19 00:53:05 -07:00
.env.example fix(backend): harden Phase A endpoints — Zod validation, feature flag gate, state filtering 2026-03-31 23:56:35 -07:00
.gitignore feat(backend): scaffold product-specific Fastify backend (port 4011) 2026-03-01 20:39:08 -08:00
Dockerfile revert(docker): revert to docker-prep.sh approach due to workspace complexity 2026-05-09 23:35:41 +00:00
eslint.config.js chore(backend): add eslint config and lint script 2026-03-26 22:59:50 -07:00
package.json feat(backend): add domain event bus + webhook dispatch 2026-04-13 11:28:38 -07:00
tsconfig.json feat(backend): scaffold product-specific Fastify backend (port 4011) 2026-03-01 20:39:08 -08:00
vitest.config.ts feat(backend): scaffold product-specific Fastify backend (port 4011) 2026-03-01 20:39:08 -08:00