Honest reviews, comparisons, and guides for AI-powered tools. Independent and unsponsored — not affiliated with, endorsed by, or connected to Cursor (Anysphere) or any tool reviewed.
AI Code Completion Architecture: How Copilot, Cursor Tab, and Supermaven Actually Work
A technical deep dive into the architectures powering modern AI code completion tools and what makes them fast.
AI for Code Refactoring: What Works, What Doesn't, and How to Use It
AI tools promise to automate refactoring, but the reality is more nuanced—they excel at mechanical transformations while struggling with architectural decisions.
AI for SQL Development: Query Writing, Optimization, and Real-World Workflows
How AI tools are changing SQL development: from natural language query generation to optimization and what actually works in practice.
AI Test Generation: What the Benchmarks Actually Show
AI tools promise to write your unit tests automatically, but recent benchmarks reveal a stark gap between simple demos and production code.
AI-Powered Debugging: Tools and Workflows That Actually Help
From autonomous agents that investigate production incidents to AI-enhanced debuggers that explain why variables are null, debugging tools have evolved beyond autocomplete—here’s what actually works.
Context Windows in AI Coding: What 1 Million Tokens Actually Buys You
The latest AI coding models ship 1M-token context windows at no surcharge—but effective performance tells a different story.
AI Coding Assistants and Large Codebases: What Actually Works
How GitHub Copilot, Cursor, and other AI assistants handle context in real codebases, with data on accuracy, security vulnerabilities, and practical tradeoffs.
AI Code Review in Practice: What the Data Actually Shows
Real-world data reveals AI code review tools deliver mixed results—73.8% resolution rate but increased PR times, with effectiveness heavily dependent on context and configuration.
Building a Second Brain with AI
How to use AI-powered tools to organize, retrieve, and connect your knowledge effectively.
Prompt Engineering: Techniques That Actually Matter
Cut through the hype — here are the prompting techniques that consistently improve AI output quality.