Agentic Engineering the Hard Way - Build production-grade AI agent systems from scratch. 65 lessons, 13 labs, 20 skill kits.
Go to file
artale 55d6cd5333 docs(tac): add Memory vs Taste architecture pattern
Folds the Memory vs Taste concept into loop_engineering.md. Memory
is raw storage/retrieval (vector DB, full histories). Taste is
higher-order judgment (significance extraction, preferences, lessons).
Applied to TAC: skill_health.py as the bridge, deploy policy as taste,
25 containers + qdrant as memory.
2026-07-09 06:48:08 +02:00
.github/workflows fix: update deploy.yml for Forgejo Actions 2026-06-03 15:44:30 +02:00
adw_modules feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
api feat: deepened M7+M8, download page, healthcheck endpoint, analytics stub 2026-06-12 09:45:04 +02:00
course feat: add durable loop harness primitive 2026-06-18 03:30:27 +02:00
pipeline docs(tac): add agent multiplexer guidance 2026-07-07 00:42:56 +02:00
plans docs(tac): add Memory vs Taste architecture pattern 2026-07-09 06:48:08 +02:00
products feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
site fix: deepened M3+M6, expanded blog posts, skill examples, M2+M3 quizzes 2026-06-12 12:29:40 +02:00
skills feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
specs feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
.gitignore clean: remove non-course files, add .gitignore for course-only repo 2026-06-03 15:47:37 +02:00
adw_pipeline.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
dark_factory.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
dark_factory_server.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
deploy_webhook.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
install.ps1 initial: FDSA Agentic Engineering Course - 8 modules, 13 labs, 20 skill kits, 9 ZIP packages 2026-06-03 14:04:06 +02:00
install.sh initial: FDSA Agentic Engineering Course - 8 modules, 13 labs, 20 skill kits, 9 ZIP packages 2026-06-03 14:04:06 +02:00
pytest.ini feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
skill_health.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00
stitch-mcp.json initial: FDSA Agentic Engineering Course - 8 modules, 13 labs, 20 skill kits, 9 ZIP packages 2026-06-03 14:04:06 +02:00
trigger_webhook.py feat(tac): add product factory loop hardening 2026-06-29 11:56:54 +02:00