I Benchmarked 6 AI Coding Tools on a 50K-Line Codebase — Here’s How They Actually Wrote Production-Ready Code
We’ve all seen the demos. A clean greenfield project, a simple function, and the AI spits out perfect code in seconds. But that’s not real life.
Real codebases are ugly. They have 7-year-old conventions, half-documented utility functions, and a `utils.py` that’s 3,000 lines long. So I wanted to know: which AI coding tool actually survives contact with the mess we actually work in?
Build a Custom AI Agent Prompt Caching Layer with Redis in Python: A Step-by-Step Developer Tutorial
Build a Custom AI Agent Prompt Caching Layer with Redis in Python: A Step-by-Step Developer Tutorial You’re running… ...
I took six tools and gave each the same task: implement a “rate-limited, retryable API client for our internal event service” within my existing 50,000-line production Python codebase.
Here’s the dirty truth about what I found.
Why Smart CTOs Hire Vietnamese Developers: Cost, Quality, and Speed
TL;DR: If you’re evaluating offshore development destinations, Vietnam is quietly outperforming India and the Philippines on retention, code… ...
The Setup: A Real Codebase, A Real Task
The codebase is a medium-sized backend for a B2B SaaS
