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Report abuseSenior software engineer: iOS, applied AI, product, and customer-facing.
Nine years building products end to end: iOS, backend, and now production AI systems. These days I split my time between SDK engineering, helping enterprise customers' engineering teams ship complex integrations, and wiring AI agents into real production loops. Shipped outcomes > clever code. Team > all.
Mostly: Swift · TypeScript · Rust · agent frameworks & harnesses (Claude Code, Codex, Pi) · AWS / serverless · eval loops & multi-model setups since 2023.
🔭 I’m currently working on descartes (today an ops-triage agent, tomorrow your machine's guardian angel and your main ops interface. But I'm starting with the skateboard version, the rocketship will come later), Boucle is building itself, and I also work on third thoughts (because there's so much to learn about how to interact with LLMs and agents), the foundry plugin (adversarial development with information boundaries), and a few closed-source iOS apps.
🌱 I’m currently learning how to run 10+ agents simultaneously on just as many projects without going mad. Next step looks like it will be running 10+ agents each orchestrating 10+ agents per project on 10+ projects. GasCity, here I come.
📝 I write at The (not so) Weekly Fitz
👯 I’m looking to collaborate on interesting and unconventional LLM and agent applications.
🤔 I’m looking for help with descartes and third thoughts. Testers are welcome, and so is anyone with hands-on experience in privacy, privacy-conscious federated knowledge aggregation, or systems.
Rust Library and CLI for iterative multi-model consensus
Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.
An early (archived) attempt at bootstraping something like an agentic coding harness in March / April 2023, using itself (first raw OpenAI curls, then progressively switching to the tool itself as …
Swift
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