/ Insights
Engineering
Knowledge Log
Technical notes, architecture decisions, and lessons from building production AI systems. Organized by domain.
Designing RAG Pipelines for Production
Lessons learned from building retrieval-augmented generation systems that scale reliably under real-world constraints.
Feb 10, 2026Async Patterns for Production Python
Structuring concurrent Python applications with asyncio — task groups, graceful shutdown, and error boundaries.
Jan 28, 2026Decorators in Python: A Deep Dive
Exploring the mechanics of decorators beyond the basics — metaclasses, descriptor protocols, and practical patterns for production code.
Jan 15, 2026RAG Evaluation Metrics That Actually Matter
Moving beyond basic recall — measuring faithfulness, relevance, and answer quality in retrieval-augmented systems.
Dec 15, 2024Why I Chose FastAPI Over Flask
A pragmatic comparison of async-first API frameworks for AI-heavy workloads and strict type safety requirements.
Nov 20, 2024Vector Databases: Choosing the Right One
Evaluating Pinecone, Weaviate, and Chroma for different embedding retrieval workloads and scaling patterns.
Sep 5, 2024