A practical guide to migrating Python code from ThreadPoolExecutor to asyncio. Learn when to migrate, step-by-step refactoring patterns, common pitfalls, and how to handle blocking code that can't be made async.
Learn how to use ProxySQL as a connection pooler between PHP applications and MySQL, dramatically reducing connection overhead and improving database scalability.
A deep dive into the new APIs and libraries in Java 25, including Scoped Values, the Key Derivation Function API, Stable Values, PEM Encodings, and the Vector API.
The gap between senior and junior AI usage isn't about knowing more prompts. It's the same gap that existed with Google: seniors know what they need, juniors hope the tool figures it out for them.
Most developers treat commit messages as an afterthought. But when you use AI to write them deliberately — with reasons, not just changes — your git history becomes a powerful context source for every future AI interaction.
Matt Pocock at AI Engineer Europe argues that bad code is now more expensive than ever — and that the engineers winning with AI are the ones who went back to basics.
Birgitta Böckeler's QCon London 2026 talk breaks down context engineering, harness engineering, and why blindly trusting autonomous AI agents is a security and cost disaster waiting to happen.
UC San Diego and Cornell tracked 112 professional programmers using AI agents at work. Not one of them actually vibe coded. Here's what they found — and what it means.
Abstraction is the single most powerful tool a programmer has for managing complexity. Here's what Code Complete 2 taught me about why it matters — and how to use it deliberately.