8000
Skip to content

Repository files navigation

coding agent tips

this is my evidence backed guide to working with coding agents, whether you are a student having an existential crisis, a startup founder working with real money for yourself and other people, or an engineer at one of the biggest technology companies in the world. the guidance is organized around the scale and consequences of the work.

read the handbook or go directly to a principal guide:

what this helps you decide

the handbook separates the surface where you steer work, the harness that runs the agent loop, the model that supplies inference, and the orchestration used for parallel work. it also covers repository instructions, permissions, review, evidence, hardware, and the operating costs that appear after the first demo.

evidence principle

  • tested: reproduced by the author in a named environment and version
  • official source: confirmed in current primary documentation or source code
  • analysis: a judgment derived from stated evidence
  • open question: current evidence is missing or incomplete

citations sit beside the claims they support. field runs publish inspectable artifacts and keep their limits visible.

local verification

bun install --frozen-lockfile
bun run check:readme
bun run check
bun run build
bun run test:site
bun run test:a11y

built and maintained by ani potts. corrections with primary sources or reproducible field evidence are welcome.

MIT

About

guidance for coding with agents in production, from pet projects to startups and big tech

Topics

Resources

Code of conduct

Contributing

Security policy

Stars

28 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages

0