AI Engineering2 min read
How RAG Actually Works: A Practical Guide
Retrieval-augmented generation, explained the way you would build it: chunking, embeddings, vector search, and the failure modes nobody mentions.
Blog
Articles that explain the why
Code-first writing on AI engineering, backend systems, and the craft of software, with no fluff or recycled documentation.
Showing all 6 articles
Backend2 min read
The FastAPI Production Checklist
Twelve things to verify before your FastAPI service takes real traffic: connection pools, timeouts, validation, and the mistakes that page you at 3 a.m.
Python1 min read
Python Type Hints That Pay for Themselves
Type hints are not bureaucracy; when used well, they catch real bugs, document intent, and make refactoring safe. Here is the practical subset worth learning.
AI Engineering1 min read
Evaluating LLM Features Before Your Users Do
Shipping an LLM feature without evaluation is shipping untested code. A practical framework: golden sets, graded rubrics, and regression gates.
System Design2 min read
Caching: The First Tool of System Design
Most scaling problems are read problems, and most read problems are solved by caching — if you can answer the two hard questions: where, and how stale.
Career2 min read
Your First AI Project: Stop Preparing, Start Building
You do not need another course before you build something with AI. You need a small project, a deadline, and permission to build something imperfect.