Bito provides an AI Architect that builds a knowledge graph of a company's entire codebase, including repositories, commits, issues, and documentation, to deliver up‑to‑date system context. Through its MCP API, coding agents like Cursor, Claude, and Codex can query this graph for API contracts, call flows, impact analyses, and design artifacts, enabling one‑shot production‑ready code generation and rapid issue triage for large, multi‑repo development teams.
Funding
$5.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OVPFounders
Product
Problem
Engineering teams struggle to obtain accurate, up‑to‑date system context across large, multi‑repo codebases. Without a unified view of APIs, dependencies, and design decisions, developers spend days reading code, coordinating meetings, and manually creating specifications, leading to slow feature delivery and higher risk of errors.
Solution
Bito’s AI Architect creates a knowledge graph that indexes every repository, commit, issue, and documentation artifact, then exposes this graph through the MCP interface. Coding agents such as Cursor, Claude, and Codex can query the graph to retrieve API contracts, call flows, design diagrams, and impact analyses, enabling one‑shot production‑ready code generation, spec‑driven design, and rapid issue triage. The same contextual data powers automated technical requirement documents, low‑level designs, and up‑to‑date dependency diagrams, reducing the need for manual code reading and cross‑team meetings. By grounding each development step in the same system‑level graph, AI Architect improves success rates on complex, multi‑file tasks while keeping costs flat.
Target Audience
Primary users are software engineering teams building large, multi‑service applications—particularly architects, senior developers, and DevOps engineers who need accurate system context for design, coding, and code review.
Features
- Automatic indexing of all code repositories, extracting symbols, signatures, execution flows, and database schemas
- Cross‑repo edge capture that records API calls, request/response schemas, and streaming behavior
- Unified knowledge graph linking services, interfaces, and downstream impact for system‑wide reasoning
- MCP API that delivers context to IDEs and agents (Cursor, Claude, Codex) for grounded code generation and review
- Spec‑driven workflow generation of technical requirement documents (TRDs) and low‑level designs directly from the graph
- Real‑time API and library discovery, including contract details and usage locations across the codebase
- Automated generation of up‑to‑date dependency diagrams and README documentation reflecting current architecture
- Context‑aware onboarding assistance that answers developer queries with precise code references and line numbers