Engineering the AI stack,
in the open.
Cuecoder is an AI engineering studio building hardcore developer tools and infrastructure for the AI era. What ships gets written about. What works gets open-sourced. The rest becomes product — all under one roof.
Agent up. In minutes.
Define your agent, connect your tools, pick your model — and
cue
handles the rest. MCP-native, fully open source.
1
Product in the making
∞
Models supported
MCP
Native protocol support
OSS
Fully open source
Building in public.
Cue AI
Create production-ready AI agents and chatbots in minutes. Model-agnostic, fully open source, MCP-compatible — with built-in connectors so you wire tools, not boilerplate.
Field notes from shipping AI in production.
How to Pick the Right LLM for Your Agent
Not every agent needs the most capable model. Here's a practical framework for matching model to task — and why the answer almost always changes over time.
MCP Explained: The Protocol That's Quietly Changing AI Tooling
Model Context Protocol (MCP) is becoming the USB-C of AI integrations. Here's what it is, why it matters, and what it means for how you build agents.
Why Your AI Agent Should Be Model-Agnostic
Locking your agent to a single model provider is the fastest way to accumulate technical debt. Here's how to build the abstraction right.