TACO

TACO was born from a common challenge in software development: turning great ideas into working code quickly. We noticed how much time teams spent converting feature requests and requirements into production-ready code, while valuable improvements sat in growing backlogs for months. We started experimenting with AI to understand not just code, but the whole development workflow - from product requirements to architecture, testing, and documentation. The early results were promising, but the real excitement came when teams started using it. Product managers loved how quickly their features came to life and previously stalled requests got implemented, while developers appreciated maintaining high code quality standards. TACO grew from there, focusing on one clear goal: accelerating the journey from idea to implementation while maintaining quality. It's been incredible seeing product and engineering teams collaborate more efficiently, turning feature requests into working code in minutes and finally tackling those long-postponed improvements. Key features: ✨One-Click GitHub Setup: Connect your repository and start generating PRs in under a minute 🧠Smart Issue Understanding: TACO reads your feature descriptions and understands your project's context 📝Comprehensive Documentation: Every piece of generated code comes with clear, accessible documentation ⚡Lightning Fast: From feature request to working code in minutes, not hours 📊Self-Improving: Gets better with each interaction, learning your team's patterns and preferences We'd love to hear your thoughts and experiences - whether you're building products or writing code, what are your biggest challenges in bringing features to life? How do you manage your backlog while balancing speed with quality?"