Dev open-sources 10 hands-on AI agent workshops, from Lambda deployment to vLLM serving
Al_Grigor · x · 2026-10-22
Al Grigor of AI Shipping Labs has published the full public code for 10 AI agent workshops he created.
Key topics from the repo and screenshots:
- End-to-end agent deployment: a tool-calling agent loop in Python/FastAPI with OpenAI Responses API, SSE streaming, Docker packaging, deployed to Railway
- Lambda deployment: frontend + backend in one container on AWS Lambda, tested with the Runtime Interface Emulator
- Investment coach bot: public-company research assistant on free SEC EDGAR/XBRL data, with CLI and Telegram interfaces and CSV-based evals
- Serving open models with vLLM on RunPod: quantized DeepSeek-R1-Distill-Qwen-14B-AWQ behind an OpenAI-compatible API
- Vector search with SQLite: ONNX-generated embeddings, LSH approximate index, Turso storage
- Cloudflare architecture comparison: TypeScript vs Python Workers vs hybrid, with Workers AI + Vectorize
- Vercel FAQ agent: progressive evolution from in-memory search to Upstash Vector to a Python FastAPI backend
- Plus an NVC voice coach built on ElevenLabs ElevenAgents
Each dated directory ships a working project, setup instructions, and session notes; notes and recordings are behind paid plans.
Related event: Developer Open-Sources 10 AI Agent Workshops with Full Code(3 posts)→
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