Engineering deep-dives.
Design decisions and lessons learned building Chalie.
Directing Agents, Not Writing Code: How Chalie Develops Itself
An inside look at the autonomous development workflow behind Chalie — where AI agents build features, run regression gates, and improve themselves nightly while a human steers direction.
By Dylan Grech
The Day Chalie Scheduled a Reminder to Ask About My Doctor's Appointment
While testing v0.5.0, I mentioned a minor medical thing in passing. The next day I opened the scheduler and found Chalie had quietly set itself two reminders to follow up. A look at the three systems that combine into something that feels like caring.
By Dylan Grech
The Meta-Harness, Two Weeks Later: From Interesting Experiment to Working Contributor
A follow-up on our self-improvement loop. We tore out most of the orchestration, made the kernel a single skill, and watched it open and merge multiple PRs in a single afternoon.
By Dylan Grech
Building an AI That Improves Itself: The Meta-Harness
How we built an autonomous improvement loop that uses Claude Opus to analyze test failures, propose fixes, and create pull requests — with no human writing code.
By Dylan Grech