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

April 28-29, 2026 Pier 48, Shed A, San Francisco, CA, United States Booth 512
Meet HoundDog.ai at AI Dev 26, Booth 512, featuring the Dataflow Context Engine for AI coding assistants like OpenAI Codex and Claude Code

Stop by Booth 512 to see the HoundDog.ai Dataflow Context Engine: a service catalog and API discovery tool purpose built for AI coding agents. Without centralized dataflow context, agents slow engineering down and burn through tokens rediscovering cross-repo and cross-service relationships inside monorepos on every prompt. The Context Engine gives OpenAI Codex, Claude Code, Copilot, and any MCP compatible agent that context continuously updated, up front.

How it works

Install locally

CLI, MCP server, or Skills. Runs on your machine, so 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, 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: OpenAI Codex, Claude Code, Copilot, 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 Dataflow 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

Without centralized context, agents grep repos and write ad hoc scripts to parse code relationships on every prompt. With the Context Engine, the exact cross-repo context arrives up front: no 40 file reads to find which service calls GetUserPayment.

Faster, cheaper cross-service changes

Prompting your agent to update a service or API runs faster and cheaper when it already knows every consumer and field in use, instead of slowing engineering down to rediscover them.

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

Visit the Dataflow Context Engine page for early access.

See you there. Visit us at Booth 512 to see a live demo on a real monorepo, and book a 1:1 with our founders below.

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