Bito

At Bito, we envision a future where software development is vastly accelerated and enhanced through intelligent AI integration. Our mission is to redefine how engineering teams create and maintain code by leveraging generative AI that understands the full context of codebases, transforming traditional code reviews into a seamless, value-adding process.

We are driven by the belief that automating routine, repetitive review tasks allows developers to focus on innovation and high-impact work. By creating AI-powered agents that deliver precise, contextual feedback and continuous learning, we empower engineers and teams to produce higher-quality software faster and more confidently.

Building on advanced machine learning and deep integration with developer tools, Bito is pioneering the transformation of the software lifecycle. We are committed to crafting an ecosystem that supports developers worldwide in shipping better code through smarter automation and collaborative intelligence.

We've been watching the AI code review space closely, and Bito caught our attention for doing something most competitors miss entirely. While other tools focus on catching basic syntax errors or security flaws, Bito's AI actually understands your codebase's architecture and design patterns. It's like having a senior engineer who's been on your team for months, not a generic linter with fancy marketing.

The company comes from serious tech pedigree — co-founder Anand Das previously took PubMatic public and scaled engineering teams at multiple acquisitions. That experience shows in how they've built the platform.

What Makes It Actually Smart

Here's where Bito gets interesting: their AI doesn't just scan individual files in isolation. It reads your entire codebase to understand context, coding standards, and project-specific patterns. When it suggests a fix, it's not pulling from some generic database — it's considering how your team actually writes code.

We tested this with a React project, and the AI caught architectural inconsistencies that would've taken our senior developers significant time to spot. More importantly, it learned from our feedback when we marked certain suggestions as irrelevant, gradually getting better at understanding our preferences.

The Workflow Integration Win

Bito plugs directly into GitHub, GitLab, and Bitbucket pull requests, which means zero workflow disruption for teams. Developers get line-by-line feedback right where they're already working, plus one-click fixes for common issues. No context switching, no separate dashboards to check.

The analytics component is surprisingly useful too — teams can track review velocity and spot bottlenecks in their process. It's not just about catching bugs; it's about understanding where your development flow breaks down.

Who Should Pay Attention

Bito makes the most sense for mid-to-large engineering teams dealing with complex codebases where manual reviews become a real bottleneck. With 100,000+ developers already using the platform and customers like Gainsight trusting it with their code, the early adoption signals are strong.

The $5.7 million in recent funding suggests investors see the potential too. For teams tired of AI tools that promise everything but deliver generic suggestions, Bito's codebase-aware approach feels like the next logical step in developer tooling.