Optimizing AI code for review throughput
Use AI to organize large implementations into cohesive PR stacks and automate their upkeep so your team can review them efficiently.
Make it reviewable ↘
On building useful software, helping teams move, and deciding what matters when AI makes code cheap.
A few favorites on making software and teams work better.
Start here ↘
Use AI to organize large implementations into cohesive PR stacks and automate their upkeep so your team can review them efficiently.
Make it reviewable ↘
AI makes code cheaper to write, but we still need to decide whether the work matters.
Cheap code. Costly choices.
Prompt, useful code reviews unblock teammates, reduce downstream rework, and make team delivery a shared priority.
Unblock your teammates ↘
Features can get enterprise software bought. Good UX helps users get value, adopt it, and advocate for it.
UX earns advocates ↘
How I understand complex backends by identifying system boundaries, making inputs and outputs explicit, and diagramming the data journey.
Reviewers should ask for smaller PRs or more context when a review is difficult, and authors should welcome that pushback.
How distributed behavior, hidden execution paths, and knowledge of several systems made backend code harder to understand coming from frontend development.
Prompt, useful code reviews unblock teammates, reduce downstream rework, and make team delivery a shared priority.
Unblock your teammates ↘