Bito
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About
Bito is an AI-powered developer tool designed to bridge the gap between isolated file generation and system-level software engineering. Its core engine, AI Architect, functions by indexing an entire codebase—including repositories, modules, APIs, and dependencies—to create a live knowledge graph. This allows the AI to understand the logic and intent behind implementations rather than just treating code as a collection of text files. By providing this deep context, Bito enables AI agents to reason about the impact of changes across the entire system, leading to more accurate code generation. The tool integrates directly into existing developer workflows through two main avenues: Git-based environments such as GitHub, GitLab, and Bitbucket, and popular IDEs like VS Code, Cursor, and JetBrains. In the Git workflow, Bito acts as an automated reviewer, providing line-by-line feedback, summaries, and impact analysis for pull requests. Within the IDE, it offers real-time code suggestions and fixes that can be applied with a single click. It also features a Command Line Interface (CLI) that integrates with agents like Claude Code, ensuring consistency across terminal and editor environments. Engineering teams benefit from Bito’s ability to reduce the technical debt introduced by context-blind AI code. It is particularly effective for onboarding new engineers, who can use the natural language interface to ask complex questions about system architecture, such as how authentication works or what endpoints are available. High-level security is a core focus, with the platform offering options for on-premise deployment or self-hosting, while ensuring that no user code is stored or used for model training. What distinguishes Bito from standard AI assistants is its focus on codebase intelligence over simple completion. While most LLMs are limited by their context windows, Bito's dynamic indexing and Knowledge Graph approach led it to top the SWE-Bench Pro evaluation. This systemic understanding allows for more accurate one-shot task execution and identifies regressions that traditional tools might miss. By automating a significant portion of PR feedback, it helps teams reduce human effort in code maintenance while speeding up merge times.
Pros & Cons
Achieved 39% higher task success on SWE-Bench Pro compared to agents without codebase context.
Ensures data privacy by never storing proprietary code or using it for model training.
Supports cross-repository impact analysis to catch bugs across different modules and services.
Significantly reduces developer workload by providing up to 87% of pull request feedback automatically.
Offers a versatile range of integrations including MCP servers for Claude and Cursor.
Advanced enterprise features like SSO, SCIM, and Audit Logs are currently listed as coming soon.
Cross-repository impact analysis is restricted to the highest-tier Enterprise plan.
The AI Architect free tier is limited to small teams of five engineers or fewer.
Self-hosting for the Professional plan requires an additional monthly fee per seat.
Use Cases
New engineers can use the knowledge graph to ask architecture questions, reducing onboarding time by up to 42%.
Development teams can automate pull request reviews in GitHub or GitLab to speed up merge times by 89%.
Technical leads can implement custom review guidelines to ensure AI-generated feedback matches specific team standards.
DevOps engineers can integrate Bito into CI/CD pipelines to catch performance and security regressions early.
Solo developers can utilize the free AI Architect tier to add system-level reasoning to their IDE-based coding agents.
Platform
Task
Features
• automated code reviews
• impact analysis
• on-premise deployment
• cli for coding agents
• custom review guidelines
• jira and confluence integrations
• grounded code generation
• dynamic knowledge graph
FAQs
Does Bito store my code or use it for training?
Bito does not store your code and does not use it to train any AI models. They provide end-to-end data encryption and offer on-prem or self-hosted deployment options for maximum security.
Which IDEs and Git providers are supported?
Bito supports VS Code, JetBrains IDEs, Cursor, and Windsurf, as well as GitHub, GitLab, and Bitbucket (including their enterprise versions). It also features a CLI for terminal-based workflows.
What is codebase intelligence?
Codebase intelligence is a structured understanding of how repositories, modules, and APIs relate to each other. Bito uses this to create a knowledge graph so AI can reason about system-level impact.
How does Bito handle large or multi-repo codebases?
Bito uses dynamic indexing to map dependencies across the entire system. In the Enterprise plan, AI Architect can perform impact analysis across multiple repositories to identify upstream and downstream effects.
Pricing Plans
Team
USD12.00 / per seat per month (billed annually)• Line-by-line Git reviews
• Unlimited repos and PRs
• Codebase aware feedback
• 1-click apply for AI fixes
• Code review analytics
• VS Code and JetBrains support
• CLI integration
• Essential and Comprehensive modes
Professional
USD20.00 / per seat per month (billed annually)• Custom review guidelines
• Jira integration
• CI/CD pipeline reviews
• Self-hosted option ($5 additional)
• Adaptive learning system
• Increased IDE review limits
• Unlimited seats
• Everything in Team
Enterprise
Unknown Price• Cross-repository impact analysis
• Confluence integration
• Dedicated CSM
• SLA support
• Custom invoicing
• RBAC and SSO/SAML support
• Multi-org support
AI Architect
Free Plan• System intelligence for agents
• Engineering knowledge graph
• Grounded code generation
• System-aware code reviews
• MCP server for Claude and Cursor
• On-prem and self-hosted support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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