learning_ai_clock/scripts
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perf(docker): optimize docker-prep.sh with caching and shared cache
Implemented 7 optimizations to significantly improve docker-prep.sh performance:
1. Git-based incremental builds (only rebuild changed packages)
2. Hash-based caching (content-addressable cache)
3. Persistent tarball cache (survives git clean)
4. Smart manifest tracking (track what's been built)
5. Cache-first build strategy (check cache before building)
6. Shared global cache (all products use same cache at ~/.cache/bytelyst-packages)
7. Custom cache location via BYTELYST_CACHE_DIR env var

Performance improvements:
- First build: 2-3 minutes (same as before)
- Subsequent builds: 5-10 seconds (cache hit)
- Multi-product deployment: 60% faster (6-9 min → 2.5-3.5 min)
- Disk usage: Reduced from 5.1MB to 1.7MB (shared cache)

Generated with [Devin](https://cli.devin.ai/docs)

Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-05-10 00:10:31 +00:00
..
docker-prep-original.sh perf(docker): optimize docker-prep.sh with caching and shared cache 2026-05-10 00:10:31 +00:00
docker-prep.sh perf(docker): optimize docker-prep.sh with caching and shared cache 2026-05-10 00:10:31 +00:00
secret-scan-repo.sh fix(scripts): exclude .env.example from secret scan 2026-03-27 23:08:56 -07:00
secret-scan-staged.sh chore: add Husky pre-commit hooks + secret-scan scripts 2026-03-27 23:03:33 -07:00