May 27, 2026
Everyone's talking about AI agents. Only a few are actually building them. Build your first agent and learn about things like tools, structured output, and agent testing.
May 12, 2026
CheatsheetPython is great, but at some point, its performance hits the wall. When this happens, we can rewrite the computationally intensive part of our code to Rust. This series shows how to confidently rewrite Python code to Rust with the power of AI.
May 12, 2026
This article is part 4 in the series that shows how to confidently rewrite Python code to Rust with the power of AI. In this part, we use property-based testing to find and fix a subtle bug that was introduced during the rewrite.
May 5, 2026
This article is part 3 in the series that shows how to confidently rewrite Python code to Rust with the power of AI. In this part, we use the tests provided in parts 1 and 2 and an AI agent to implement a Rust version of the Log parser.
April 28, 2026
This article is part 2 in the series that shows how to confidently rewrite Python code to Rust with the power of AI. In this part, we use tests from part 1 and rewrite them to a contract test pattern to ensure we'll be able to test Python and Rust implementations with the same set of tests.
April 21, 2026
Python is great, but at some point, its performance hits the wall. When this happens, we can rewrite the computationally intensive part of our code to Rust. This article is part 1 in the series that shows how to confidently rewrite Python code to Rust with the power of AI.
April 14, 2026
CheatsheetAI code review sounds great in theory. In practice, most teams just end up with more noise in their merge requests. In this article, I share 3 steps that made AI code review actually useful in my team and also reasonably priced (under $1.50 per review).
April 8, 2026
AI made coding faster. But faster code without a fast feedback loop is just faster chaos. If we can code faster, we need everything around it to keep up: pipelines, testing, deployments, and monitoring. In this article, we break down a Python development workflow designed for shipping reliably in the AI era. Four pipelines. Three environments. Small MRs, you're willing to throw away. Deployments that are non-events. This is the first in a series where we'll dig into each step - from automated pipelines to feature flags to monitoring that catches issues before your customers do.