Thoughts on building software that matters — from AI-powered development to the human decisions behind great products.
The small tasks on your backlog aren't harmless. They silently drain your team's momentum, create context-switching costs, and keep you from the work that actually matters.
Teams are adopting AI coding tools at record pace but the ones struggling most are not lacking technical skill. They are lacking clarity in what they are building and why.
Most AI coding tools start with your code. We start with your board. Here’s why understanding the work matters more than generating the output.
Product
Most teams think shipping is just writing code. But between your board and production, there are seven distinct phases — and most have nothing to do with code.
Product
Most teams think shipping is just writing code. But between your board and production, there are seven distinct phases — and most have nothing to do with code.
Engineering
Before you plan a sprint, you need to know what work actually exists. Most teams skip discovery entirely — and it's the most expensive mistake in software development.
Engineering
Nobody becomes a software engineer because they love reviewing pull requests. What if AI handled the mechanical checks so humans could focus on design decisions?
Insights
Your team tracks velocity, story points, and cycle time. But do any of those numbers actually tell you whether you’re building the right thing — or just building faster?
Design
You finished the Figma file. You wrote the specs. Three sprints later, what shipped looks nothing like what you designed. Here’s how to close the gap.
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