Series
AI: tools and agents
AI series 3 of 5. How a model acts in the world. Tools, MCP, agents, workflow patterns, memory and multi-agent systems.
AI: the basics
AI series 1 of 5. What an LLM is, how it is built, tokens, prompting and what you can do with one. Code is based on the official docs and output is marked as example output.
AI: production
AI series 4 of 5. What it takes to ship an LLM system. Evals, observability, cost, security, guardrails, a decision map, and one app that puts it all together.
AI: knowledge and RAG
AI series 2 of 5. How to give a model access to your own knowledge. Embeddings, semantic search, RAG and diagnosing failures.
AI: adapting a model
AI series 5 of 5. Fine-tuning, distillation and running models locally. When it is worth the effort and when it is not.
Claude Code mods
Changing Claude Code from the inside. What a mod is and when it is worth it, and how to write, check and run a first one.
Dev tools: zero to hero
Guides that build one project step by step, in short posts. Git, GitHub, Docker, GitHub Actions, Kubernetes and AWS, in the order you meet them.
Python step by step
Short posts on Python, one topic each. Every example was run and every claim checked against the official docs.