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.
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.
Local AI Models: Running LLMs on Your Own Hardware
A guide to running AI models locally for privacy, speed, and cost savings.
AI Translation Tools: Beyond Google Translate
Modern AI translation tools that handle context, tone, and specialized terminology better than ever.
How to Use AI for Technical Writing
Practical workflows for using AI tools to write documentation, blog posts, and technical content faster.
AI Meeting Assistants That Actually Work
Reviewing AI tools that transcribe, summarize, and extract action items from your meetings.
AI Image Generators: Midjourney vs DALL-E vs Stable Diffusion
Comparing the three major AI image generators for different creative workflows.