Lance Keay · Senior full-stack & DevOps engineer

I build software and keep it running. Then I write down what actually broke.

This is my CV and my working notebook: hands-on reviews of AI tools, agents and self-hosted software, plus a monthly look at what model tokens actually cost.

Latest notes

The verdict first, the detail below it.

  • Keep I run it
  • Try worth an afternoon
  • Wait not yet
  • Skip I wouldn't

Sample entries. These listings show how posts and verdicts are laid out; titles and verdicts are placeholders until Lance publishes the real ones.

  1. AI token market, November 2026

    In one line: input, output and cached-token prices per million for the main hosted models, in one wide table, with what changed since October.

    Monthly12 min read
  2. LiteLLM as a home-lab model gateway: three weeks in front of four providers

    In one line: worth running the moment you call more than one provider; not worth it if you only ever call one.

    Keep14 min read
  3. Two weeks of a terminal coding assistant in a real repository

    In one line: quick and tidy on small, well-described changes; you still have to hold the plan.

    Try11 min read
  4. Moving the home lab from Compose files to a self-hosted PaaS

    In one line: nicer deploys, but I gave up more control over networking than I wanted to.

    Wait9 min read
  5. Leaving a coding agent running unattended overnight

    In one line: it finished the tasks and broke the tests it never ran. Not yet.

    Skip8 min read

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Hire me

The feature shipped, and the pipeline still green.

I take contracts for full-stack work and the infrastructure under it: CI/CD, containers, cloud and on-prem, and putting AI tooling into a team's workflow sensibly. Remote first; on site by arrangement.