Developer productivity, measured the right way
from startup to enterprise
Faster devs, same old bottlenecks
AI coding tools help individual engineers write code faster than ever. But writing code was rarely the slowest part of shipping software.
All that extra code still has to get through planning, reviews, testing, and deployments. If those parts of the system don’t keep up, the work just piles up somewhere else, and customers don’t notice a thing. Turning individual speed into something customers actually feel is now a job for engineering leaders.
That’s why Swarmia looks at how work flows through teams and systems. There’s no single metric to rule them all. Instead, you get a solid measurement framework and a proven way to continuously improve on the areas that are important to you at any given moment.

What you can measure with Swarmia
AI leverage
Are we creating conditions for success for AI tools?
Effectiveness
Are we delivering value faster, and is the pace sustainable?
Return on engineering
What business value does engineering investment produce?
See what’s working,
and fix what isn’t
Swarmia combines the metrics that matter: how much your teams ship per engineer, and what each unit of work costs, developer and AI spend included. When the numbers pull apart, like more pull requests but fewer finished stories, you see how AI is changing the shape of your work and where the new bottleneck is.
Signals do that sorting for you. They flag cycle time spikes, review bottlenecks, oversized pull requests, and work that’s gone quiet as it happens, along with concrete ideas for what to do next. Instead of digging through dashboards, you can go straight to the teams that need help.
Frequently asked questions
How is Swarmia different from other engineering productivity platforms?
There are two main things that separate Swarmia from all the other developer productivity platforms: it doesn’t take a team to run, and it helps you change how teams work instead of just reporting on it.
Many platforms need a group of people to set them up and then keep the data accurate. In Swarmia, data quality is automated from day one and stays that way. Every sync merges people’s accounts across tools and flags bots as new people and tools appear. Your issue statuses are mapped to a standard workflow automatically. You handle the odd exception instead of babysitting the data.
Swarmia also isn’t a dashboard you open once a quarter just for a board deck. Key metrics, targets, and goals help you define what’s important to your organization right now. Signals flag bottlenecks as they happen. Teams set their own working agreements and get feedback on them in Slack or Microsoft Teams. Our customer success team helps you roll Swarmia out and turn what you see into changes that stick.
If you’re interested in comparing Swarmia to a specific platform, our Customers team is happy to help with a detailed comparison.
How does Swarmia know which work used AI?
Swarmia connects to Claude Code, GitHub Copilot, Cursor, Codex, Devin, and review agents like CodeRabbit, Greptile, and Qodo, and links their usage to individual pull requests. Direct signals, like an AI co-author on a commit, count as high-confidence matches. Swarmia can also match a pull request to AI usage by the same person in the previous 24 hours. You can switch that off if you’d rather undercount than overcount. In-house agents and other tools can send their usage through our API. You can then compare AI-assisted work with everything else on metrics like cycle time, review time, and batch size, alongside what developers say in surveys. Read more about how AI detection works.
Is this surveillance? And won’t people game the metrics?
No. Swarmia doesn’t rank engineers, score them, or build leaderboards. Metrics roll up to teams and groups, and engineers see the same data as their managers. The developer overview shows what someone has worked on and who with, to support 1:1s and coaching, not to compare people. We’ve written about why you shouldn’t stack rank your developers.
Metrics get gamed when they’re tied to targets someone else sets. In Swarmia, teams track their own trends and set their own working agreements, so the goal is to find a sustainable level and stay there. Speed also sits next to quality, and system data next to developer experience surveys, so pushing one number at the expense of the others shows up quickly. Read more about why productivity metrics miss the point when they’re used the wrong way.
How do we introduce Swarmia to our engineers?
Before anything is visible to the wider organization, agree as a leadership team on how the data will and won’t be used, then say it out loud: it’s for team improvement, not performance reviews. Start with a pilot of a few teams that want to try it. They’ll become advocates who can explain the value in their own words.
Our customer success team helps you plan the rollout. They provide announcement templates, an FAQ for engineers, and onboarding sessions for all the people and roles that need it, either live or async for distributed teams.
How much work is setup, and what if our data is messy?
An admin connects your source code hosting platform and picks which repositories to sync, then optionally adds your issue tracker, chat, and AI tools.
You don’t need to clean up your data first. Swarmia automatically merges each person’s accounts across tools, detects bots, and maps your Jira statuses to a standard workflow, and you can adjust all of it. Teams can be imported from GitHub, uploaded as a CSV, synced through our API, or set up by hand. It’s common to tidy up team structure in the first few weeks. Get started in 15 minutes.
Can’t we just build this ourselves?
With AI coding tools, you can have a first dashboard running in a weekend. Keeping it accurate is what typically makes building a bad idea. That means merging each person’s accounts across all the tools they’re using, and mapping dozens of issue statuses. It also means keeping team history intact through reorgs and linking AI usage to pull requests. And without data from other companies, you won’t know what good looks like. The upkeep usually becomes a side job for one engineer that never ends. With Swarmia, it’s our job instead.
What about privacy and data security?
Swarmia is SOC 2 Type 2 compliant and offers a GDPR-compatible data processing agreement. You choose which repositories to connect. We request code access because source code hosting platforms require it to read commits, but we never read or store your source code. For each commit, we keep only file names and the size of each change, plus metadata like pull requests, reviews, and issues. All customer data is encrypted and stored in the European Union by default. You can find the details on our security page. If you’re interested in data residency in the United States, get in touch with us or contact your account manager for more information.
How does the pricing work?
Swarmia is priced per developer and billed monthly or annually, with a discount for annual plans. Start with one module, or get all four with Standard. Read more about our pricing.
Can we try it on our own data first?
Yes. Start a free 14-day trial with your whole organization; no credit card needed. For larger organizations, we also run guided proofs of concept that are often longer than the 14-day default.



