Shels

Shels was born from watching developers drown in an ocean of code. Your codebase is like an ocean - vast, deep, and full of hidden dangers. Every developer knows the feeling: you've built something amazing, but somewhere in those thousands of files, there's a vulnerability waiting to surface. A bug that could cost your company millions. A security flaw that could expose thousands of users. Developers spend 40% of their time on testing and debugging (based on internal research and widely cited industry benchmarks) - time that could be spent building the next breakthrough feature. But here's the heartbreaking part: traditional tools like SonarQube, CodeClimate, or Snyk just tell you "Security issue found in line 42" and leave you alone in the dark. They don't explain why it matters. They don't tell you what it costs. They don't help you understand if this is the pearl worth millions or the one that could sink your entire ship. We watched developers spend nights diving blindly into their codebase ocean, searching for bugs like pearls in the depths, never knowing which ones were valuable and which ones were dangerous. We saw teams lose revenue, reputation, and user trust because they couldn't prioritize what truly mattered. That's when we realized: developers don't need another tool that finds bugs. They need a deep-sea diver that understands the ocean. What if AI could dive into your codebase, find every hidden danger, and bring it to the surface with context? What if it could tell you not just what the problem is, but why it matters and what it costs? What if it could think like a CTO - connecting code quality to business impact? That's what inspired us to build Shels - one of the first autonomous testing agents powered by Google's Gemini 3 API. Shels doesn't just skim the surface like traditional tools. It dives deep into your codebase ocean, finds every pearl (bug), evaluates its true value, and tells you exactly what to do with it. Shels is not an AI that helps developers write code. It's an AI that takes responsibility for code quality - like a trusted deep-sea diver who brings value to the surface.