Development & Code

Bito AI

AI-powered development workflow

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Bito AI setup takes minutes. Connect your repositories and watch it build a live knowledge graph of your entire codebase. No manual setup required.

Bito goes way beyond simple code completion. It maintains a dynamic map of how your APIs connect. How modules link together. How dependencies span multiple repositories. This isn't another embedding-based tool that treats code like isolated snippets. Knowledge graph approach means coding agents understand system-level impact before suggesting changes.

Picture a senior backend engineer debugging a production issue. Bito can trace through error logs and pinpoint which modules are affected across your entire system. It delivered a 60% boost to coding agents on first-try tasks by providing this deeper context.

Code reviews get smarter too. Bito integrates with GitHub. GitLab. Bitbucket. It flags potential regressions before they hit production. Teams see 34% fewer bugs making it through reviews and 89% faster PR merges.

Traditional embeddings fall short for complex codebases. Bito's knowledge graph approach makes the difference when you're dealing with interconnected systems — where changing one component ripples through dozens of others. Engineering teams report 42% faster onboarding for new developers who can navigate unfamiliar code with AI that actually understands the architecture.

Free plan gets you started without a credit card. Test the system-aware code generation and see if those productivity numbers translate to your team's workflow.

Frequently asked

6 questions

How does Bito AI's knowledge graph differ from other AI code assistants?

Most AI code tools just use embeddings -- they treat code like isolated snippets. Bito's different. It builds a live knowledge graph that actually maps how your APIs connect, how modules link together, and how dependencies span multiple repositories. This means it gets the system-level impact before suggesting changes, rather than just looking at individual code blocks.

Which Git platforms does Bito integrate with for code reviews?

Bito works directly with GitHub, GitLab, and Bitbucket. It'll automatically flag potential regressions during code reviews and helps teams catch issues before they hit production. Users typically see 34% fewer bugs making it through reviews and 89% faster PR merges.

Can Bito AI trace production issues across multiple repositories?

Yes, it can. Bito traces through error logs and pinpoints affected modules across your entire system -- even when they span multiple repositories. This is super useful for debugging production issues where problems in one component can ripple through dozens of connected systems.

How much does the Bito AI free plan include?

The free plan lets you test system-aware code generation without a credit card. You can connect your repositories and see how the knowledge graph approach works with your actual codebase. Then decide on a paid plan if you like it.

What kind of productivity improvements do teams see with Bito?

Engineering teams report some pretty impressive numbers: 60% boost to coding agents on first-try tasks, 42% faster onboarding for new developers, and way faster PR merges. The knowledge graph approach seems particularly helpful for navigating complex, interconnected codebases.

Does Bito AI require manual configuration for each repository?

No manual setup required. You just connect your repositories and Bito automatically builds a live knowledge graph of your entire codebase. The whole setup process takes minutes -- and the knowledge graph updates dynamically as your code changes.