Production AI-agent systems, built solo, end to end.
Capability without shipping is noise. Real systems in production are the only résumé.
I'm Mattae Cooper. I design, build, and ship AI-agent systems alone — architecture through deployment, in whatever stack the job needs: Rust, Go, TypeScript, Python. Onchain trade execution, a large Go backend on Postgres and AWS, edge products on Cloudflare Workers — all real, all running in production.
No agency, no handoff. Custom agent builds, automation that removes manual work, and developer tooling for the Claude Code ecosystem. The proof is public — 127+ repositories and the systems behind them.
Mattae Cooper — independent AI-agent engineer, for hire.
Audits —Decision review for expensive bets. Get a structured adversarial council — 15 specialized lenses — before you commit capital, time, or reputation.
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Real, shipped systems — each running in production. Not demos, not dashboards.
Three ways I ship real systems — not dashboards, not demos.
Production agent systems designed and shipped solo. Onchain trade execution — a Rust/Go order-flow pipeline with real market feeds and MEV protection. Multi-agent coordination — persistent swarms with shared reasoning state across MCP servers. Architecture through deployment, in whatever stack the job needs.
Real systems that remove manual work. Go monolith on Postgres + AWS — integrated event pipeline handling ingestion, enrichment, and delivery at scale. Edge products on Cloudflare Workers — serverless automation with D1, Queues, and R2. No dashboards, no demos — live production deployments.
Tools that make agents and engineers more capable. Custom MCP servers — connecting LLMs to production APIs, databases, and file systems. Claude Code ecosystem — early ecosystem operator shaping how agents interact with code. CLI tooling, agent infrastructure, and the coordination layer for persistent intelligence.
Tell me what you're building. I'll scope it, quote it, and build it myself.
Work with me
