All Articles

A student's look at Jev, TypeSafe AI's first "System One" model — what it is, how it differs from chat LLMs, where it fits, and how to make your first call with the Python SDK or curl.

A quick-reference glossary of the AI terms developers keep running into — inference, tokens, quantization, 8B/70B model sizes, MoE, chain of thought, tool calling, MCP, RAG, agents and more — explained in plain language.

A practical walkthrough of the Git commands you'll actually reach for day to day — from everyday status checks to branching, stashing, and undoing mistakes.

How to get real answers out of the Network tab — filtering 404s, filtering by domain, excluding noise, finding slow and heavy requests, copying requests as cURL, and other everyday debugging tricks.

A student's intro to Playwright, the browser automation library — what it's good for, how to set it up in Python, and example code for scraping, form filling, screenshots and testing.

A student's guide to Pydantic for data validation in Python, and PydanticAI for building LLM agents that return typed, validated output — with install steps, code and real use cases.