After 30 years coding, I found an AI that actually understands my entire project, handles spec-to-deployment, runs locally, and acts like a real partner instead of fancy autocomplete.
The story
After three decades writing code, I’ve used every assistant that’s come down the pike. Most are glorified autocomplete. A few try harder. But I finally found one that works the way I actually build software: Roo Code.
Here’s what makes it different:
It understands the whole project. Not just the file you have open – your entire codebase. So it can reason about architecture, suggest refactors that span multiple files, and actually help you enforce patterns across the system.
It handles spec-to-deployment. I can describe a feature in plain English, and Roo Code generates the skeleton, writes the migration, implements the logic – all while respecting the conventions already in my code.
It adapts to how I work. Different modes for different tasks: Architect for planning, Code for implementation, Debug for fixing, Ask for quick answers. I can even assign different AI models to different modes and build custom personas for things like documentation.
It runs locally. Open-source, self-hosted if I want, full control over my IP. No code leaving my machine unless I choose.
It acts like a partner, not a tool. Roo Code doesn’t wait around. It suggests improvements, catches issues, runs code, debugs in a loop. It’s proactive. It remembers context across sessions.
If you’re tired of assistants that feel like fancy autocomplete, Roo Code is worth a look. It’s built for people who move fast and want an AI that can keep up.
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