Bito AI

For engineering teams struggling to maintain system context across large codebases, Bito AI provides autonomous agents and an AI Architect that map code, commits, pull requests, issues, and documentation into a living knowledge graph. This context layer grounds AI operations directly in the team's existing code, architecture, and design decisions, significantly reducing downstream risks while cutting overall agentic coding costs by up to 68%. Integrations span modern development tools and communication channels, including Cursor, Claude, GitHub Copilot, Jira, and Slack. By incorporating complete system context into every phase of the software development lifecycle, Bito AI supports developers from initial technical design and architecture planning to automated code generation and pull request reviews. The underlying platform continuously structures services, API dependencies, and architectural patterns across all connected repositories to ensure accurate suggestions. Engineering organizations can leverage this continuous contextual awareness to accelerate feature delivery, minimize architectural drift, streamline code reviews, and scale their automated workflows without sacrificing quality or system stability across complex multi-repo projects.