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The developer side of the site: notes on building with AI APIs and shipping real software. Integration walkthroughs, debugging war stories, web-dev fixes and the engineering lessons that only show up once code hits production.
Expect practical, code-first pieces — wiring an LLM API into an app, handling rate limits and retries, the CORS error that ate your afternoon, deployment gotchas, and honest "this is what actually worked" write-ups. Examples are real and runnable, not pseudocode, and we show the errors we hit on the way, because that is the part most tutorials skip.
If you are a developer integrating AI, debugging an API, or just want engineering notes written by someone who ships, this is the section for you.
Step-by-step guide to fixing CORS errors between a React front-end and .NET API. Covers AddCors policy, preflight handling, Vite proxy setup, and common mistakes.
Building a content site with core PHP, MySQL and 15KB of CSS on shared hosting — what the constraint taught us about modern web bloat.
Common questions
Building and shipping real software, with a focus on integrating AI APIs — plus general web-dev and debugging pieces. Practical and code-first, written from hands-on experience.
No. If you can call a REST API you can build with an LLM. The hard parts are the ordinary engineering ones — auth, rate limits, retries, error handling — which is exactly what these notes cover.
Mostly JavaScript/TypeScript, PHP, C# and Python — whatever fits the topic. Examples are real and runnable, with the actual errors and fixes shown.
