An opinionated list of Python frameworks, libraries, tools, and resources
We're all learning how to ship more side projects. If you're "in the bubble" it can feel like everyone is repo-maxxing. Shipping weekly. Spinning up agents to scaffold full apps overnight. New OSS dropped every Friday. The reality I see with most developers is much more normal: They have six or seven repos sitting in various states of half-attention. A side project from last year that still gets a
What if managing your bookmarks felt like talking to a colleague? Not clicking through menus, not filling out forms, not dragging items between folders. Just saying what you want done. That's what prompt-based bookmark management looks like. LinkaGoGo connects to AI assistants like Claude, ChatGPT, and Cursor through the Model Context Protocol (MCP) — giving your AI direct access to your bookmark
TL;DR — Superpowers and Compound Engineering aren't competitors. They're optimised for different worlds. Superpowers is gold for mature codebases with established methodology (TDD shops, large legacy systems, teams enforcing standards). Compound Engineering is gold for early-stage products where one person owns a feature end-to-end. Pick by what your codebase looks like, not by which README sounds
In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
Why this list is different The "best" email API depends entirely on what you're building. A side project optimizing for the free tier needs different things than a Series B SaaS sending two million transactional emails a month. This post grades eight providers against the criteria that actually move the needle in production, and tells you which one to pick for which use case. Most roundups in th
For the longest time, I was the classic "builder who doesn't ship content." I'd ship features, take notes, have insights... but turning them into consistent posts on X, LinkedIn, or Threads? That part always felt like a chore. The context switching, reformatting, trying to sound natural on every platform — it killed my momentum. So I built Elevenwritt. You paste anything: A rough idea Meeting note
Before you train a model, you need data in the right format. This took me longer than I expected and taught me a lot about how LLMs actually learn. I used MedQA USMLE — real medical licensing exam questions used to certify doctors in the US. It's available on HuggingFace for free. from datasets import load_dataset dataset = load_dataset("GBaker/MedQA-USMLE-4-options") Each sample looks like this: