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PROJECTS / ENGINEERING IN PRACTICE

Want to know what I can do?
Look at what I’ve built.

Tools and guides I build and contribute to, organised around real team needs: harnesses, delivery, security, training and knowledge.

I specialise in harness engineering. My work as a hands-on Chief AI Officer also includes team training and helping leaders decide where and how to use AI.

// Ecosystem map

How the projects fit together

Five parts of the same engineering practice. Select a project to see what it does, or a category to explore how I work with teams.

AI Engineering Open-source ecosystem
  1. Build & Run

    Build, connect, and operate agentic workflows.

  2. Observe & Improve

    Inspect sessions, worktrees, and tool usage.

  3. Secure & Validate

    Reduce risk and verify code or configuration quality.

  4. Learn & Adopt

    Choose a learning route for developers or knowledge workers.

  5. Research, Discover & Grow

    Turn source material into knowledge, visibility, or discovery.

01 / Build & Run

Build the environment your agents work in.

Instructions, context, tools and model routing. These projects address the parts around the model that shape how an agent works in a real repository.

First and main contributor · Q1 2026 active

RTK

Compress development-command output before it enters an agent's context.

Evangelist since then.

Rust · CLI

Updated Nov 4, 2026 · 85,528 stars

Creator experimental

Agent Router

Pick the model, effort and skills for each phase of a Claude Code or Codex task, and explain the choice.

Rust · CLI

Creator coming soon

cc-copilot-bridge-rs

Rust rewrite of cc-copilot-bridge. Faster startup, lower memory, single binary. Same bridge, zero runtime overhead.

Not publicly available yet.

Rust

02 / Observe & Improve

Inspect agent sessions and tool usage.

Session history, activity and actual skill usage. Before changing a workflow, I want evidence of what people and agents are doing.

03 / Secure & Validate

Inspect dependencies and security risks.

Dependency analysis and security triage make specific risks inspectable. Each tool has a defined scope; it is one part of the wider review.

04 / Learn & Adopt

Learn to configure and use AI tools.

Technical guides for developers and practical workflows for knowledge workers. Writing the material is part of how I make engineering knowledge reusable.

05 / Research, Discover & Grow

Connect agents to useful knowledge and data.

Research corpora, search analytics and discovery tools. These tools give agents sources to work with and let people inspect the results.

Creator experimental

Paper Insights

Build an experimental local corpus of arXiv metadata with FTS5 search and traceable citations.

Experimental; human relevance review is pending.

Python · SQLite · FTS5 · CLI

Other work

Projects outside the AI engineering ecosystem.

Harness implementation, audits and training

The repositories show how I build. Working together also covers the choices around the code: priorities, ownership, governance, roles and training. I can take on a focused technical problem or support the wider adoption as a hands-on Chief AI Officer.

Explore how we can work together → Browse all repositories on GitHub ↗