🤖 AI coding

Monitoring the situation

A good way to stay abreast of AI tooling: Rands Leadership Slack #ai-coding-tools

Document driven (need link)
An iterative approach that makes your genie less insane over time Stdlib from Ghuntley (Cursor)
A structured approach to coding by Ryan Carson. For Cursor but generally relevant.
Kent Beck described a TDD and tidy first approach he calls augmented coding.
Vibe engineering describes patterns for those who are building high quality code quickly with AI.
Why AI swarms can’t build architecture and what to do about that.
Stripe’s Minions show a workflow for creating pull requests in a large codebase, triggered by Slack. Part 2 goes into some detail of how it works. Most interesting part is the orchestration and how it separates deterministic and LLM based approaches. It’s a mostly one-shot approach, and suffers a bit because of that. But very interesting!
How to kill code review from a biased source who founded Aviator, but an interesting take on using BDD and deterministic tooling to constraint coding agents.

The Gap Through Which We Praise the Machine on usability issues in agent coding, and why some people seem to be doing well and others aren’t.
Nobody codes here anymore A case study on adoption

Revenge of the Junior Developer - Steve Yegge (who has a vested interest in this) lays out his vision of where this is going: agents, agent fleets, etc. March 2025.

Should probably have its own page