Blog
Articles on AI engineering, production ML, and building real systems.
What we decided at the first Inference Engineering Book Club session: why we chose the book, how the club works, what to read, and resources shared by participants.
A practical guide to project deep dives, Python exercises, unfamiliar tasks, and the evidence hiring managers look for in AI engineering interviews.
See how CRISP-DM still guides AI engineers in 2026, translating each phase into practical workflows for LLM apps, RAG pipelines, and production AI systems.
An incident story: how I accidentally wiped our AWS RDS production database and deleted snapshots by letting Claude Code touch production infrastructure.
Learn what an AI engineer is in 2026: responsibilities, skills, tools, and real-world use cases based on analysis of 1,000+ AI engineer job descriptions.
How to join AI Engineering Buildcamp: individual enrollment, team discounts, company L&D budgets, student discounts, PPP pricing, and scholarships.
Learn how I built the ChatGPT Data Viewer, a local app that searches and visualizes your ChatGPT export with statistics and a GitHub-style activity view.
A practical definition of the AI engineer role: what they do, how they differ from ML engineers and data scientists, and what it takes to ship AI-powered features from prototype to production.
Learn how I built SQLiteSearch, a lightweight, single-file Python library for fast text and vector search with SQLite (no Docker).
I unpacked the mysterious /home/oai/ directory that ChatGPT can zip on command and found not leaked OpenAI infrastructure, but a sandbox of document, slide, and spreadsheet “skills” that reveals how the new cross-vendor agent skills standard works in practice.
A story about how I built and maintained a Slack moderation bot for an 88k-member community using AI and AWS Lambda.
I built funny projects with custom Claude Code slash commands (/kid and /parent), then explored stop hooks, the Ralph Wiggum plugin, and a Python-based continue loop to keep Claude coding continuously.
I built a fully automated system that takes photos of everyday objects and turns them into illustrated horror stories, complete with audio narration and Spotify podcast episodes. Here's how I did it.