At Hiro, we've fully embraced LLM coding tools, to move quickly while maintaining an incredibly high quality bar. Everyone has access to GitHub and can write production code. This capability comes with its own set of challenges - AI slop, subtle bugs, broader architectural issues. We've been intentional about changing our culture and practices to accelerate AI-driven development. Here are some of the things that are working for us.

A quick catch up. Oh, and I'm back to writing.

Using a classification methodology outlined in the GPTs are GPTs paper, we build a framework to look at the impact of LLMs on various aspects of the economy. We dive into a few interesting areas based on the initial classification.

Book recommendations: Ministry for the Future and When the Heavens Went on Sale

A fun trivia game.

A GPT generated coctail recipe app.

A CLI coding assistant

More AI, more random, less focused

My current development stack

Reasoning about the valuation of OpenAI, Anthropic, and other Foundational Model companies.