Articles on Python, AWS, software architecture and more.
I work on several machines, and some of them aren't mine. At the end of the week I need to know what I did on each one, and the answer was spread across dozens of repositories. didwhat is a command that gets it in one step, with nothing to install but a binary.
I wanted to ship a new version of my library, and my first ideas were adding Pyrefly or raising the Python version. Neither changed anything for the people who use it. What did: accepting a reference typed in lower case without breaking the 1.0 promise, and proving it is safe without the GIL instead of assuming it.
To grow my address library I reviewed more than 800 open data sources across 31 states. Most declared no license, in several the publisher's license did not match the aggregator's, and only nine states passed. This is how you actually verify a license.
I built an API that matches resumes against job postings with AI. One simple rule drove the whole design: the LLM is expensive, embeddings are cheap. The result is an API where the LLM shows up in exactly three places, and in none of them does it decide the number that matters.
I finished the courses for the Claude Certified Developer – Foundations certification knowing less than I thought. So I built an app to study with, asked Claude to help me write and correct a question bank, and practised until exam day. I passed by the narrowest margin, and that says something too.
It was not my memory failing: it was that I never wrote anything down. The context of what I do lives scattered across Jira, Slack, GitHub and my head, and none of those places keeps the whole story. This is why I ended up writing my own app.
I was about to build a feature that inferred the priority of my open items with an on-device model. Before writing it I measured it against 67 items I had labelled by hand myself. The agreement with my own judgement was zero.
I started a photo-a-day project in November 2018. It was supposed to take a year. It took almost eight. Here's what I learned about finishing things when life refuses to cooperate.
Not an installation tutorial. An honest guide on how an experienced developer can integrate Claude Code into their daily workflow without losing control of their code.
A practical guide on how to structure FastAPI projects using clean architecture principles, with real-world examples of AWS Lambda and DynamoDB integration.