Write it down, replay it, ship it: why we build ERDs to build product
How we documented Rootly's proactive incident agent as an interactive ERD you can click, replay and check against the code, and why a static design doc couldn't carry it.

How we documented Rootly's proactive incident agent as an interactive ERD you can click, replay and check against the code, and why a static design doc couldn't carry it.


How I used Claude to investigate KindaRails2Shell and sleep better after the patch.

Up to $25k for finding and shipping cost savings initiatives.

Small PRs are great for humans, but not for AIs. Instead of focusing on diff size, we moved ot a risk-based model.

Fragmentation compounds really fast when everyone ships with their own agenting workflow

In a typical week, our team ships four or five features. Sometimes more. Testing all of them at that pace, with humans, isn't really realistic.

AI's failure mode has changed. Most incidents aren't code bugs: they're context bugs. And faster review can't catch them. A case for rollback.

On extending a high-volume production pipeline instead of building alongside it, and the edge cases that only appear at the intersection of correct decisions

Instead of writing code, lot of the work I do is providing context to the agents so I can, hopefully, come back to them having completed a bunch of tickets.

A dive into how we built collaborative software with real-time features, AI assistance, and workflow automation with Y.js CRDTs).

A Terraform-first model for deterministic alerting in AI systems

Moving design decisions from opinions to action. Real products are dynamic, interactive, and a little subjective. That’s why design decisions over a static Figma file are not always be easy. At Rootly, we build small, standalone design playgrounds to feel the work sooner and make better decisions fa

Discover IncidentDiagram, an open-source CLI tool that uses LLMs to turn incident retrospectives and codebases into easy-to-understand visual diagrams.
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