Recent

• May 22, 2026

  What production AI agents actually require

  Most "AI agents" shipping right now are demos wearing production paint. They answer questions fluently and break the moment they touch a workflow with money, state, or consequences.

• May 20, 2026

  How to Keep Your Developer Instincts When AI Writes the Code

  The promise was less friction. The cost, it turns out, is instinct, a high price to pay. The answer: add deliberate practice to your routine, and keep the struggle.

• May 15, 2026

  10 Days of Rust for Python Developers: A Recap

  I ran a 10-day beginner Rust challenge on LinkedIn, one small exercise per day, written for Python developers. The goal was to give developers enough exposure to decide whether Rust deserves a real push.

• May 14, 2026

  Learn agentic AI in Python with 10 small exercises

  Most "build an AI agent" tutorials hand you a framework and skip the part where you actually understand what it's doing under the hood. When the abstraction breaks, you can't debug it because you never built the layer underneath. Juanjo and I think that gap is worth closing.

• May 13, 2026

  Coding exercises that run in the browser with Pyodide

  I've built coding-exercise platforms before (Python, Rust). AWS API Gateway + Lambda, Docker, etc. It works great, but that's a lot of infrastructure to teach someone a four-line function.

• May 12, 2026

  A Race Condition Rust Wouldn't Have Let Me Write

  A two-agent Python service ran fine in tests. Two concurrent users hit it and one user's search results showed up in the other user's response. The pattern looked safe. The Rust port doesn't compile.

• May 8, 2026

  Build a daily AI digest in 200 lines of Python (no framework)

  One command and get the AI stories worth reading today, ranked by an LLM loaded from config. Two hundred lines of Python, no framework, no venv juggling thanks to PEP 723 (inline script metadata). Below are four patterns I explored.

• May 6, 2026

  The Rust Compiler as an AI Coding Agent Guardrail

  AI agents write code now. What they can't do is decide what's correct. That gap is where a compiler becomes your best friend. Rust's compiler is famously strict, and that's exactly why it's a powerful tool for working with AI tools. It offers a fast feedback loop, catching errors early and enforcing good practices. This gives you more confidence in the code AI produces.

• May 5, 2026

  Event Sourcing in Python: Get More Insights Into Your Data

  Chris May knew about event sourcing for over a decade before he used it for real. Once he tried it in production, he was sold. After hearing him describe the pattern, I can see why, so in this article I'll walk you through what event sourcing is and why it changes what questions your data can answer.

• May 1, 2026

  Python to Rust: A JSON Parser in 6 Weeks

  Vikas Zingade is a lead ML engineer who builds complex systems in Python every day. He'd read about Rust, understanding it in theory, but he'd never actually had the borrow checker accept his code.

  Six weeks and six PRs later, he has a fully compliant JSON parser with 210 passing tests that runs 12x faster than simplejson. His confidence in starting a new Rust project from scratch is a solid 7 out of 10.