Solo builder. I orchestrate fleets of AI agents to ship software, and I create the tooling that makes that work.

Agentic engineer in Edinburgh, 20+ years writing code. These days I spend less time typing and more time at the level above the code: planning, reviewing, merging, and designing the systems that let a fleet of agents work together. Local-first whenever it is feasible.

🤖 combo-chen
Deterministic harness for autonomous issue-to-PR pipelines. An event-sourced state machine drives fixed roles (coder, gatekeeper, reviewer) with strict role separation, SHA-pinned review gates, CI reconciliation, and a human-in-the-loop merge. Built on git worktrees and tmux.

☁️ roca-cloud
Roca Cloud is a MCP-native store deployed on AWS as a single ARM64 Lambda behind API Gateway, backed by private RDS PostgreSQL and Secrets Manager, provisioned end-to-end with CDK. Roca Cloud is its own durable memory plane. Bedrock and AgentCore workloads can run around it — as agents, distillers, runners, and observability pipelines — all reading from and writing to

🛡️ human.md
A guardrail framework for human-agent pairing: declarative rules that tell a coding agent when to defer, stop, or hand back control, enforced through hooks.

🎥 conferenceDB
Agent-native RAG over conference talks. Hybrid retrieval over SQLite FTS5 full-text search and sqlite-vec vector embeddings, fully local. Turns video transcripts into a queryable knowledge base.

🏠 land-registry-nlq
Text-to-SQL over 31M UK Land Registry transactions. Plain-English questions compiled to PostgreSQL and validated against the query AST (libpg-query) before execution, with Claude Haiku in the loop.

🎬 twitch-toolkit
End-to-end pipeline that turns a multi-hour stream VOD into publishable content. Whisper transcribes speech while ACRCloud detects music and Demucs separates audio, then an LLM scores segments for highlights by context not audio peaks before chapters and SEO are pushed to YouTube automatically. Multi-LLM by design: DeepSeek, OpenAI, Groq and OpenRouter, with a local-first path through Ollama.

• I design the system and the guardrails, then let agents execute inside them.
• Local-first. I run models on my own hardware (Ollama, MLX) when it is feasible.
• Tests and review are not optional. Determinism, gates, and a human merge decision are baked into how my agents ship.

TypeScript · Python · Node · React / React Native · SQLite · MCP. Claude, Codex, and local models via Ollama and MLX.

🎵 Multi-instrumentalist · 🌧️ Scottish weather lover