Meet the
HoundDog.ai team at AI Dev 26 x SF

How it works

🔌 Install locally CLI, MCP server, or Skills. Runs on your machine – no code leaves your environment.

🔍 Continuous static analysis The engine reads your schema definitions and service code, producing a live map of every API, consumer, and field in use. Think of it as an API discovery tool and live service catalog that stays current as your codebase evolves. Available for gRPC in April 2026, with GraphQL, REST, and Apache Thrift coming soon.

🤖 Ground-truth context for your AI coding assistant Exposes your API graph to any MCP-compatible AI coding assistant – Cursor, Claude Code, Copilot, Codex, Windsurf, and other popular AI coding tools. Real context pulled from your code, not guesses from file reads.

Spec-driven development, finally practical for AI

Your .proto files and schemas already define your service contracts. The Context Engine treats those specs as ground truth, paired with live analysis of which fields are actually consumed – bringing spec-driven development to the AI coding platforms writing your code.

Why it matters

⚡ Stop burning tokens to rediscover your own APIs Your agent shouldn’t need 40 file reads to find which service calls GetUserPayment. Context arrives up front.

🛡️ Ship code that doesn’t break downstream services Your agent knows which services consume an API and which fields they read. Fewer broken builds, fewer rollbacks.

📚 A service catalog your whole team can use Not using AI coding agents? Use it as a live service catalog and API governance tool — push API graphs to Notion, Confluence, or wherever your team collaborates.

💡 Try it free Join the waitlist at hounddog.ai/api-context-engine for early access when gRPC ships in April 2026.

Visit us at Booth 512 See a live demo on a real monorepo. Book a 1:1 with our founders below.