Building AgentGrid with Cody: A New Era of Agent-First Infrastructure

The next generation of software isn't just human-first—it’s agent-native. At Semantic Seed Venture Studio, we’re not only building AI-native applications, we’re evolving how they’re built. Enter AgentGrid: a professional network and registry for Model Context Protocol (MCP) servers. Think of it as the Hugging Face for AI tools—not for models, but for functions, tools, and microservices consumed by agents.

AgentGrid is rooted in a core belief: the future of software will be orchestrated by agents, not humans clicking around dashboards. These agents will increasingly consume APIs, not apps—and many of those APIs will be powered by modular MCP servers, delivering atomic functionality that replaces large monolithic SaaS interfaces. Agents won’t just fill out forms—they’ll build workflows, compose services, and solve problems.

We see AgentGrid as critical infrastructure for Cody, our coding agent, and the agents that will follow. Cody doesn’t just write code—it assembles functionality, and AgentGrid is the registry it taps into.

But we’re not building it alone. AgentGrid is being developed in partnership with Cody AI, our semantic seed coding agent—a purpose-built, TDD-driven AI pair programmer designed to follow our coding standards and scale product development with discipline and speed.

🧠 Why Build AgentGrid?

We’ve been working on AI-enabled code generation workflows for over two years, and in that time, we’ve seen a clear shift: tools are getting smaller, smarter, and more composable. Instead of 100-screen UIs, tomorrow’s products will be built from APIs and agents stitched together with semantic glue.

Today’s agents require:

• Composable microservices that can be plugged into workflows

• Clear APIs and function schemas (OpenAPI, LangChain, OpenAI Tools)

• Semantic search to match capabilities to intent

• Trust signals like ratings, uptime, and verified usage

AgentGrid isn’t a directory. It’s an intelligent registry, toolchain, and ecosystem—a platform for:

• Publishing validated, schema-rich services

• Discovering tools via vector search

• Remixing or chaining tools into agent pipelines

• Fetching tools in formats agents can use instantly (OpenAI, LangChain, DSPy)

This infrastructure will enable Cody and any AI agent to rapidly find and integrate the right tools, unlocking new kinds of user experiences that feel autonomous, intelligent, and fluid.

🤖 Built with Cody: Our AI Pair Programmer

All development on AgentGrid follows the Semantic Seed Coding Standards v2.0, which emphasize:

• Test-Driven Development (TDD)

• Behavior-Driven Development (BDD)

• XP-style commits and flow

• Git hygiene and Shortcut integration

Cody AI is trained to:

• Interpret user stories and write unit/integration tests first

• Scaffold feature branches from the feature/{id} pattern

• Auto-generate BDD test cases for each story

• Maintain CI/CD compliance and generate end-of-day WIP commits

• Propose refactors with contextual awareness

We treat Cody AI not as a tool, but as a collaborative engineer. We write tests together. We reason through edge cases. We discuss naming. Cody enforces our discipline and accelerates iteration.

And while Cody is already simple enough for non-technical founders to build real products, it’s also built to scale—enterprise-ready and extensible for the day we open it up to external teams.

This isn’t "vibe coding"—this is structured agentic engineering.

🔧 Technical Stack

• Frontend: Next.js + Tailwind + ShadCN

• Backend: FastAPI + Supabase (PostgreSQL, Auth)

• Search: ChromaDB with OpenAI embeddings

• CLI + SDK: Python-based with LangChain support

• CI/CD: GitHub Actions, with Jest + Pytest for full suite coverage

• Test Architecture: Red-Green-Refactor flow + feature-based test folders

All of it built with test-first commits and clean documentation by Cody.

🚀 Current MVP Features

• ✅ Submit AgentGrid-compatible services with schemas and metadata

• ✅ Ping/validate endpoints with auto-latency tracking

• ✅ Semantic search with tag-based filtering and vector embeddings

• ✅ Format conversion to OpenAI/LangChain tools

• ✅ CLI for publishing and calling tools

• ✅ Agent SDK for tool discovery and invocation

• ✅ Ratings, reviews, and metrics dashboard per service

We’ve scoped these through a detailed PRD, sprint plan, and backlog of TDD-aligned user stories—each story backed by automated BDD tests.

📈 Vision: The Infrastructure Layer for the Agent Economy

AgentGrid is more than a project—it’s a protocol layer.

We see a world where every agent:

• Queries AgentGrid for the latest toolchain

• Routes tasks across verified services

• Monetizes tools through usage-based metering

This is how agents will replace traditional SaaS—not by mimicking old UI patterns, but by composing smart services in real time.

We’re building not just a backend—but a semantic supply chain for AI.

And we’re building it with Cody AI.

🧪 Join the Build

If you’re building agents, tools, or interested in semantic microservice infrastructure:

• Submit a tool to AgentGrid

• Build a LangChain pipeline using the SDK

• Contribute a service template

• Join our pilot registry cohort

This is agent-native infrastructure, built by developers and AI agents together.

Welcome to AgentGrid. Book a call http://calendly.com/seedlingstudio/