Jupyter Notebook · MIT
calmrocks/ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
★ 736
Stars
70 forks · 1 open issues
+3.1/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
49.9
Momentum / 100
see the breakdown below
2mo ago
Created
last push 4d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 11.8 | +3.1/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 14.9 | last week ran 1.99× the monthly pace |
| Freshness | 15 | 14.9 | last push 4d ago; decays to zero at 180 days |
| Scale | 15 | 8.3 | 736 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 49.9 | sum of the above |
Detail
| Topics | agentsai-engineerai-engineeringcolabevalsfine-tuningforward-deployed-engineergenerative-aigroqjupyter-notebookllmllm-as-judgellmopsloramcpnotebooksprompt-engineeringrag |
| Matched on | RAG (rag) LLM & Inference (fine-tuning) |
| Short window | +22 stars over 7 days = 3.1/day |
| Long window | +41 stars over 26 days = 1.6/day |
| Lifetime average | 8.60 stars/day over 86 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |