The Product-Minded Engineer: The Importance of Good Errors and Warnings

AI tools that generate code are accelerating demand for engineers who can define what to build, not just how to build it. With autonomous agents now interpreting error messages to self-correct, poor diagnostics directly impact AI performance and costs. Drew Hoskins, a 20-year veteran of Microsoft, Facebook, and Stripe, has written "The Product-Minded Engineer" to guide developers in this domain. 

By Gergely Orosz →

Inefficiency Is Your Competitive Edge

As AI handles all optimized tasks better than humans ever could, our competitive advantage shifts to what machines can't replicate: genuine randomness and inefficiency. Optimizing for the same outcomes with the same tools is becoming irrelevant. Your next breakthrough won't come from another prompt but from the walk where you forgot your headphones.

By Nikunj Kothari →

Without Benchmarking LLMs, You're Likely Overpaying 5-10x

A non-technical founder slashed his LLM costs from $1,500 to under $300 monthly by testing his actual prompts against multiple models. The key insight: response token counts vary significantly between models, making overall cost per answer more important than simple token pricing. By finding models with comparable quality at 5-10x lower cost through systematic benchmarking, businesses can save thousands annually without sacrificing performance.

By Karl Lorey →

The Git Command That Could Have Saved You Hours

Git bisect uses binary search to pinpoint exactly which commit introduced a bug or unwanted change in your codebase. By marking a "good" and "bad" commit, Git automatically tests the midpoint and narrows down the search with each iteration. It can find the problematic commit in just 10 steps even when searching through 1000 commits, and can be fully automated with custom test scripts.

By Jernej Klancic →

Superdiff 

Superdiff provides fast, readable diffs for arrays and objects with move detection. It supports streaming for handling large datasets very efficiently. It has zero dependencies and clearly outperforms all competitors.

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Extension.js

Extension.js simplifies cross-browser extension development for all major platforms. It supports TypeScript, WebAssembly, and modern JavaScript with zero configuration. MIT licensed and open source.

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Stylelint

Stylelint is a comprehensive CSS linter with over 100 built-in rules. It helps avoid errors and enforces conventions. Auto-fixes problems, supports plugins, and works with CSS-like languages.

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