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Engineering intelligence you can trust
You’ve got half a dozen AI tools in your stack, your engineers say they’ve never moved faster, and your last board meeting still ended with: “When can we see some results?”
Welcome to 2026.
The promise was simple: give engineers AI tools, they ship more, everyone wins. And on an individual level, it’s working. Engineers are faster. Together with their agents, they can generate pull requests in minutes, migrate codebases in weeks, and automate half the tasks that used to eat up their day.
But speed doesn’t automatically mean progress.
Teams that are running AI on top of fragile systems, painful cross-team dependencies, and unclear priorities are digging themselves deeper into dysfunction.
But teams that added AI on top of solid foundations? They’re shipping the right things faster than ever before.
AI didn’t create this gap. It just made it a whole lot wider.
Welcome to 2026.
The promise was simple: give engineers AI tools, they ship more, everyone wins. And on an individual level, it’s working. Engineers are faster. Together with their agents, they can generate pull requests in minutes, migrate codebases in weeks, and automate half the tasks that used to eat up their day.
But speed doesn’t automatically mean progress.
Teams that are running AI on top of fragile systems, painful cross-team dependencies, and unclear priorities are digging themselves deeper into dysfunction.
But teams that added AI on top of solid foundations? They’re shipping the right things faster than ever before.
AI didn’t create this gap. It just made it a whole lot wider.
How we got here
We started Swarmia in 2019 — before the AI boom, before DORA and SPACE were table stakes, before “engineering intelligence” was a category anyone was buying.
We built it because the tools that existed treated engineering like a machine to be monitored and engineers like parts to be measured.
We thought there was a better way. We still do.
After six years of working with hundreds of engineering organizations, we keep coming back to the same thing: you can’t guess your way to engineering effectiveness, and you can’t make good decisions without understanding what’s actually happening in your organization.
Where time goes. Where work gets stuck. Why some teams thrive while others spin their wheels. And whether any of it connects to what customers need.
Most tools in this space don’t give you that picture.
Many get the data wrong: they expect perfect Jira hygiene, assume that teams work the same way, and happily plot apples and oranges in the same graph. When developers ask where the data is coming from and you can’t answer, trust erodes fast — and once it’s gone, it’s hard to get back.
And even when they do get the data right, they still leave you staring at numbers on a dashboard, asking yourself: now what?
We built it because the tools that existed treated engineering like a machine to be monitored and engineers like parts to be measured.
We thought there was a better way. We still do.
After six years of working with hundreds of engineering organizations, we keep coming back to the same thing: you can’t guess your way to engineering effectiveness, and you can’t make good decisions without understanding what’s actually happening in your organization.
Where time goes. Where work gets stuck. Why some teams thrive while others spin their wheels. And whether any of it connects to what customers need.
Most tools in this space don’t give you that picture.
Many get the data wrong: they expect perfect Jira hygiene, assume that teams work the same way, and happily plot apples and oranges in the same graph. When developers ask where the data is coming from and you can’t answer, trust erodes fast — and once it’s gone, it’s hard to get back.
And even when they do get the data right, they still leave you staring at numbers on a dashboard, asking yourself: now what?
How Swarmia can help
Swarmia covers the full continuous improvement cycle. Our three pillars — business outcomes, developer productivity, and developer experience — aren’t separate products cobbled together. They’re interconnected, and they all feed into understanding what’s actually happening in your engineering organization.
To answer that now what.
We don’t just tell you your cycle time is high. We show you where work is getting stuck, which teams need support, and what patterns are emerging across your organization. We connect metrics with survey responses so you understand the human context behind the numbers.
And then we help you actually do something about it through signals, agents, working agreements, and notifications that fit into your existing workflows.
To answer that now what.
We don’t just tell you your cycle time is high. We show you where work is getting stuck, which teams need support, and what patterns are emerging across your organization. We connect metrics with survey responses so you understand the human context behind the numbers.
And then we help you actually do something about it through signals, agents, working agreements, and notifications that fit into your existing workflows.
What we promise
We won’t tell you we’ll 10x your organization, and we won’t tell you that AI will solve all of your engineering challenges overnight.
But we will help you build the foundations that AI tools need to make an impact: healthy engineering practices, a clear connection between work and business priorities, and early visibility into engineering bottlenecks.
And we will continue to get the data right. Because if you can’t trust it, none of this matters.
So when the next shift comes — and it will — you won’t be guessing.
But we will help you build the foundations that AI tools need to make an impact: healthy engineering practices, a clear connection between work and business priorities, and early visibility into engineering bottlenecks.
And we will continue to get the data right. Because if you can’t trust it, none of this matters.
So when the next shift comes — and it will — you won’t be guessing.
Want to learn more about running an effective engineering organization?
We’ve got you.