keyuchen21 / agentic-engineering-handbook
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
Why this job: says: handbook, learning roadmap, roadmap
What it does
The AI industry has entered the Agentic Era. Building production-grade AI systems now requires mastering agents, tool use, MCP, memory, long-running workflows, coding agents, agent harnesses, evals, and safety — but the knowledge is scattered across OpenAI blogs, Anthropic engineering posts, SDK docs, cookbooks, and research papers.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 582
- +7 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 39 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- agentic-engineering
- agents
- ai-agents
- anthropic
- claude-code
- llm
- mcp
- openai
Project record
- JobLists and guides
- StatusListed
- Commits79
- Forks74
- Watching4
- Stars in 28 days+36
- CreatedJun 9, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026