AI coding agents are only as useful as the context they can access. In large codebases, that context changes every time services, APIs, fields, consumers, or dependencies change. HoundDog.ai integrates directly into your CI workflows to continuously regenerate this context from source code.
Our fast, deterministic analysis engine runs on standard CPU infrastructure with minimal impact on CI latency. Instead of asking AI agents to repeatedly search repositories and reconstruct the same relationships, HoundDog.ai computes those relationships once and refreshes them as your code changes.
The resulting evidence can power your service catalog, API and gRPC and Thrift discovery, microservices documentation, change blast radius analysis, and organization wide context for AI coding agents.
Through MCP, authorized agents such as Claude Code can query this continuously updated context whenever they need it.
Use AI where reasoning adds value. Let CI handle the deterministic discovery.
For enterprises with thousands of repositories that prefer running scans in their own CI workflows, configuring CI across every codebase by hand can take months of engineering effort. With HoundDog.ai, it becomes a five-minute task.
The HoundDog.ai Cloud Platform integrates directly with your source management platform, including GitHub, GitLab, and Bitbucket in both cloud and enterprise editions, and automatically pushes CI configurations as direct commits or pull requests requiring approval, tailored to your needs.
Each configuration supports deep customization of scan frequency, pull request blocking logic, developer-facing feedback through actionable comments in pull requests, and the option to use cloud-hosted or self-hosted runners.
Platform and engineering teams roll out continuous context refreshes organization-wide without asking each team to write and maintain their own YAML. Learn more about SCM integrations.
A deterministic, always-fresh view of every API, field, and downstream consumer across your repositories, built for AI coding agents and engineering teams working in large monorepos and microservice estates.
An always-fresh catalog of every API, field, and downstream consumer across your repos, traced from source code. Learn more
Real-time codebase context for coding agents, cutting token costs on large repos while improving change safety. Learn more
Trace dataflows across monorepos and microservice estates without asking each team to instrument or annotate their code. See how it works
Compute the facts once, refresh them on every build, and let every authorized AI agent reason over context that is already current.