
Intent Debt: the category has a name now
A researcher just gave a problem teams have felt for years the language they were missing.
Stories from the messy middle of building products.
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A researcher just gave a problem teams have felt for years the language they were missing.

The bottleneck moved. Now every product org has to decide who owns what got left behind.

(and how we built for that reality)

The 3 problems you can expect to face this year

The 80/20 reality nobody talks about

Most teams add more process when incidents happen. The real solution is better visibility.

The hidden system failure behind the AI Productivity Paradox.

And why your hardest-working teams still feel slow.

From fragmented context to meeting overload, here's what scaling engineering leaders are seeing at 75+ engineers.

So many tools, so little flow.

Most teams are good at identifying problems. Few are empowered to solve them.

As teams grow work doesn't just get bigger, it gets slower. Here's why.

AI adoption is happening bottom-up through tool experimentation. Winning teams are solving workflow coordination first.

Understanding the difference helps teams make more intentional choices about how they work and ship meaningful value faster.

The real AI integration challenge isn't the technology, it's data quality and context management

A Reddit thread revealed the invisible feedback loop that's missing from most product teams—and the hidden costs of keeping engineers in the dark.

Steal our QA checklist that actually works for cross-functional product teams

ClickUp vs Linear vs Jira vs Atono

Most become museum pieces once work starts. Here’s how we keep ours evolving.

An honest look at AskCapy, our first step in thoughtfully adding AI to Atono