Tyler Collins

Research computing consultant, Canada

I help researchers turn computational problems into reliable software and workflows: HPC systems, Python tooling, EEG/MEG pipelines, getting more out of the hardware you already have, and helping scientific teams use AI coding agents well.

Recent writing

All writing
  1. AI agents

    Get a second opinion from another model

    Models are tuned to write code differently. If you have the tokens, having one review another's work is basic hygiene, and personas take the idea further.

  2. Llm

    Clean-Room Rewrites for Researchers

    Tools like REA let a coding agent take closed software apart. Escaping research lock-in is one of the best uses for them, as long as you stay in your lane.

  3. AI agents

    Writing an AGENTS.md for a national cluster

    What I learned putting an AGENTS.md into the Alliance software stack: skip what frontier models already know and spend the lines on site policy and when to stop and ask.

  4. HPC

    Your LLM Loop Is a Batch Job

    800,000 small requests in a day slows a shared LLM service down for everyone. If your workload looks like that, a batch job on a GPU node will finish sooner.

  5. AI agents

    Start your five-hour window early

    How Claude and Codex five-hour and weekly limits reset, and why an early-morning ping can get you a fresh window by lunch.