gobbleyourdong/tsunami

Tsunami is a very early-stage (16 days old) entry into the hyper-competitive 'AI Software Engineer' space. With only 14 stars and 4 forks, it currently sits in the 'personal experiment' tier of defensibility. While the 'local-only' pitch is a valid niche for privacy-conscious developers, the project lacks a technical moat to distinguish it from much more mature open-source competitors like OpenHands (formerly OpenDevin), Aider, or Plandex. These established projects are already integrating local model support (via Ollama or Llama.cpp). The primary challenge for Tsunami is the performance gap: local models currently struggle with the complex reasoning required for autonomous full-stack orchestration compared to frontier models like Claude 3.5 Sonnet. Without a proprietary dataset or a unique architectural breakthrough in how it handles long-context codebases locally, it is highly susceptible to being displaced by more polished tools or by IDE-integrated solutions like Cursor and GitHub Copilot as they inevitably improve their local execution capabilities.