Roland Rodriguez

Prompt-driven development workflows ask models to enforce rules they can also forget, reinterpret, or talk around.

Most copying claims start with two codebases that look alike.

I am watching an AI agent rewrite my database schema in real time.

Every piece of accounting software I've used was built in a world where the person writing the ledger was also the person who would notice if something went wrong.

The conventional wisdom in event-driven systems is that more capability means more power.

Last month I was debugging a multi-agent system I'd built on acton-reactive when a deployment migration broke everything.

My daughter plays Warrior Cats: Ultimate Edition on Roblox.

Terminal UIs feel stuck because we think about them wrong.

Multi-agent AI systems face a coordination problem.

In 2019, when I set out to build rusty_paseto, a Rust implementation of the PASETO token specification, I wasn't just thinking about correctness.

Most Rust actor frameworks prioritize flexibility.