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Agentic Engineering the Hard Way - Build production-grade AI agent systems from scratch. 65 lessons, 13 labs, 20 skill kits.
12 Commits 1 Branch 0 Tags 9.3 MiB
Python 72.2%
Vue 14.9%
HTML 4.8%
JavaScript 3.9%
Shell 2.4%
Other 1.8%
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artale dd01c0e25a fix: update deploy.yml for Forgejo Actions 2026-06-03 15:44:30 +02:00
.github/workflows fix: update deploy.yml for Forgejo Actions 2026-06-03 15:44:30 +02:00
course feat: filled gaps - instructor bio, email capture, free preview, deeper M7, better mock responses, realistic lab data 2026-06-03 15:05:06 +02:00
products fix: review fixes - git init, .nojekyll, blog dates staggered, gumroad links, mock llm infinite loop fix, glass card CSS on content pages, lab data refs, skill kit examples, getting-started orientation 2026-06-03 14:07:52 +02:00
site feat: Forgejo remote, update config/social links from GitHub to Forgejo 2026-06-03 15:24:15 +02:00
skills fix: review fixes - git init, .nojekyll, blog dates staggered, gumroad links, mock llm infinite loop fix, glass card CSS on content pages, lab data refs, skill kit examples, getting-started orientation 2026-06-03 14:07:52 +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
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