Building traininglogs: A Python Pipeline for My Gym Data
How and why I built a parser that turns my messy training notes into structured JSON.
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Testing in Python: What to Test and What to Skip
Not everything needs a test. Understanding the difference is what makes a test suite useful rather than expensive.
Read more →What I Learned Deploying on Azure for the First Time
Notes from my first production deployment on Azure — what surprised me, what tripped me up, and what I would do differently.
Read more →A Note-Taking System That Actually Works for Engineers
Most note-taking systems fail because they optimise for capture, not retrieval. Here is what I do instead.
Read more →How I Learn a New Codebase
A repeatable process for getting up to speed on unfamiliar code quickly.
Read more →GitHub Actions for Personal Projects
How I set up lightweight CI/CD for personal projects without overengineering it.
Read more →Python Dataclasses for Domain Models
Why I use dataclasses over dicts for domain objects, and the patterns that make them maintainable.
Read more →Infrastructure as Code: First Principles
Why IaC is not just about automation, and the principles that make it actually work.
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