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Bito

Bito's Governor is an AI model router for coding agents like Claude Code, Cursor, and Codex that grounds each request in your code and routes it to the best model, cutting agent costs roughly in half without losing quality.

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Bito screenshot

Bito is a platform that puts engineering teams back in control of their AI coding agent spend. Its core product, Governor, is a router that understands your code: it sits as one layer between coding agents such as Claude Code, Cursor, Codex, and GitHub Copilot and the underlying models, cutting cost two ways at once. A code context engine maps the codebase so agents stop paying to search it, and a Model Router scores each request's complexity and sends it to the right-sized model so simple work stops paying frontier prices.

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Governor speaks the Anthropic and OpenAI APIs, so pointing an agent at it is a single environment-variable change, and requests keep their model, streaming, and tool calls while running on your own provider keys or existing gateway. It serves code context server-side to everyone at once rather than per-engineer, routes against a live graph of your services and dependencies, and provides one admin view of tokens, spend, and routing decisions with per-key budgets and a rolling on/off measurement of savings. In a session study, the same 10 tasks dropped from 25.3 minutes to 8.5 with the right context served up front, while task success held at 100% in a customer A/B test.

Beyond Governor, Bito grounds every stage of development on one knowledge graph of your codebase, powering design and scoping in Jira and Linear, grounded coding via MCP, and system-aware AI code reviews across GitHub, GitLab, and Bitbucket. Bito is enterprise-ready: no code is stored or used to train models, it is SOC 2 Type II certified and end-to-end encrypted, and it can be deployed on-prem or in Bito cloud. Plans include a free tier and a 14-day trial, from $15 per user per month.

  • CategoryAI Coding Assistants
  • Pricing ModelPaid
  • DeploymentCloud, On-premises
  • PlatformsWeb

  • Governor model router for coding agents (Claude Code, Cursor, Codex, Copilot)

  • Code context engine that maps your codebase so agents skip searching

  • Complexity-based routing to the right-sized model

  • One base-URL swap using the Anthropic and OpenAI APIs

  • System-aware routing against a live graph of services and dependencies

  • Admin dashboard for spend, tokens, and routing with per-key budgets

  • System-aware AI code reviews across GitHub, GitLab, and Bitbucket

  • Enterprise-ready with SOC 2 Type II, encryption, and on-prem or cloud deployment

  1. Point your agent at Governor: Change one environment variable so your coding agent uses Governor's base URL.

  2. Keep your keys: Run it on your own provider keys or alongside your existing gateway.

  3. Let it map your code: The context engine grounds each request in your codebase.

  4. Route automatically: Governor sends each request to the best-sized model based on complexity.

  5. Measure the lift: Use the admin view and rolling on/off measurement to track savings and set per-key budgets.

  • Cutting coding-agent costs
  • Model routing
  • AI code reviews
  • Spend governance
  • Grounded coding

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