Atlassian drops $1B on company that helps measure dev productivity
- Reference: 1758216666
- News link: https://www.theregister.co.uk/2025/09/18/atlassian_dx_purchase/
- Source link:
Utah-based DX has made a specialty of monitoring developers' work to iron out kinks in the coding workflow and has over 300 customers, many of them [1]overlapping with Atlassian's client base. According to Atlassian CEO Mike Cannon-Brookes, the merger will give dev managers more insight into how coders can be made more productive, especially as AI coding tools come onto the scene.
In the last five years, DX has proven adept at tracking how developers are managing workflow and has made AI a particular focus. The company posits that while AI subscriptions help coders, they can also cost a [2]colossal amount when added up on the balance sheet, and managers need to rein in these expenditures.
[3]
"I hear enterprise customers ask all the time, how do I know if my engineering teams are productive? Where should I be putting my AI dollars? And how do we measure the ROI of our AI investments?" [4]said Cannon-Brookes in a canned statement.
[5]
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"Being able to answer these questions is going to be massive. It'll make organizations more competitive, give them more clarity for decision making, and help them run faster. And this is where DX comes in."
DX cofounder Abi Noda said that around 95 percent of its customers use at least one Atlassian app, but that the business was still looking for new customers and the deal would increase the amount of capital that could be invested in R&D and speed up software development. We've asked if the buyout will change licensing terms and will update when new information comes in.
[7]
"By pairing DX’s intelligence solution with Atlassian’s AI-powered SDLC tools, customers unlock a powerful flywheel for transformation: using DX data to pinpoint bottlenecks, and then addressing them with Atlassian’s tools and solutions in a targeted, data-driven way," he said in a [8]canned statement.
[9]Atlassian's move to cloud-only means customers face integration issues and more
[10]Atlassian acquisition drives dream of AI-powered ChromeOS challenger
[11]Atlassian's Trello redesign may be 'worst in tech history' say frustrated users
[12]Atlassian migrated 4 million Postgres databases to shrink AWS bill
Atlassian expects the DX deal to close in the second fiscal quarter of 2026, with payment in cash and restricted stock, including the takeover target's cash balance. The deal comes despite Atlassian's struggle to turn consistent GAAP profits. The Australia-based dev tools giant [13]reported [PDF] a $23.9 million net loss for the fourth quarter of fiscal 2025, improved from a $196.9 million loss in the same quarter a year earlier. Nonetheless, it's using its cash on hand to buy into the AI monitoring market in a big way.
Earlier this month, Atlassian spent $610 million in cash for The Browser Company, a development biz that is integrating AI into every stage of its Chromium-based browsers. Now that regulators [14]aren’t forcing Google to sell off Chrome, Atlassian has apparently decided on competition and is willing to spend big bucks to do so quickly.
But as the AI bubble threatens to deflate, many AI-focused startups are looking for a buyout option, and it seems Atlassian is willing to scoop up players in the field despite its own history of losing money. ®
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[1] https://getdx.com/research/measuring-developer-productivity-with-the-dx-core-4/
[2] https://www.theregister.com/2025/08/15/are_you_willing_to_pay/
[3] https://pubads.g.doubleclick.net/gampad/jump?co=1&iu=/6978/reg_software/devops&sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&tile=2&c=2aMyA9tXouu2muyyuX6xDNwAAAUg&t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0
[4] https://www.atlassian.com/blog/announcements/atlassian-acquires-dx
[5] https://pubads.g.doubleclick.net/gampad/jump?co=1&iu=/6978/reg_software/devops&sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&tile=4&c=44aMyA9tXouu2muyyuX6xDNwAAAUg&t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0
[6] https://pubads.g.doubleclick.net/gampad/jump?co=1&iu=/6978/reg_software/devops&sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&tile=3&c=33aMyA9tXouu2muyyuX6xDNwAAAUg&t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0
[7] https://pubads.g.doubleclick.net/gampad/jump?co=1&iu=/6978/reg_software/devops&sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&tile=4&c=44aMyA9tXouu2muyyuX6xDNwAAAUg&t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0
[8] https://getdx.com/blog/dx-is-joining-atlassian/
[9] https://www.theregister.com/2025/09/09/atlassian_will_go_cloudonly_customers/
[10] https://www.theregister.com/2025/09/04/atlassian_browser_company/
[11] https://www.theregister.com/2025/08/06/trello_redesign_as_bad_as/
[12] https://www.theregister.com/2025/07/07/asia_tech_news_in_brief/
[13] https://s206.q4cdn.com/270053503/files/doc_financials/2025/q4/TEAM-Q4-2025-Shareholder-Letter.pdf
[14] https://www.theregister.com/2025/09/03/google_doj_antitrust_ruling
[15] https://whitepapers.theregister.com/
>"I hear enterprise customers ask all the time, how do I know if my engineering teams are productive? Where should I be putting my AI dollars? And how do we measure the ROI of our AI investments?" said Cannon-Brookes in a canned statement.
Turns out your engineering team members are only using our expensive AI tools 10-15% of their working time, which is a personal failing on their behalf. You can fix this by micromanaging them more closely and driving the usage rate up, then we can point to that increased rate and say "look here's your return on investment, clearly shown on a graph where number go up! Thanks AI!"
I'm becoming more and more convinced that modern workplace management in the age of AI is completely divorced from any mission or product, and has devolved into 24/7 ass covering to justify all the money wasted on "miracle AI solutions", but nobody up the food chain and with reins on the company purse wants to sit down and admit they got roped into a "too good to be true" grift operation.
Somehow we ended up with a whole industry propped up by people in suits lying to each other how they'll all be rich overnight and fire all their human employees if they just try a little harder and believe in the AI revolution a little more faithfully.
True, But...
There now is this glimpse of progress: https://arxiv.org/abs/2509.04664
Re: True, But...
Now someone needs to write a paper on why management hallucinates.
Delusional
Atlassian’s CEO: “I hear enterprise customers ask all the time, how do I know if my engineering teams are productive? Where should I be putting my AI dollars?”
Imagine saying this with a straight face while paying $1bn for a surveillance dashboard. Here’s a clue: if you actually spent a fraction of those “AI dollars” on your employees’ dollars - decent pay, job security, not making them stress over rent, medical bills, or whether they can fix a boiler - you’d unlock more productivity than any AI-powered graph ever will.
But of course, that would mean treating engineers as people rather than metrics. Instead we get billion-dollar snake oil so managers can squint at charts and pretend they’re running a factory floor. “Less friction, more flow” translates to: less money for staff, more money into executive vanity projects.
Re: Delusional
I've got a idea about where a company should be putting its AI dollars - staff, training, tools, documentation.
The Con in confluence
Here’s another clue for Atlassian specifically: fix all the bugs in your own products.
Jira and Confluence are a hot sticky mess of bugs
How do I know if my engineering teams are productive?
What management thought he said --
"How do I know I can fire my engineering team and please take my AI dollars."
The answer is…..
….. none. Because they’re ending on prem licenses and so everyone has to use crappy insecure cloud.
But I’m sure the shareholders are rejoicing over the snake oil.
Really?
Is there anyone here from the Enterprise world? And if so, can you confirm that you are asking “all the time”…
- Where should I be putting my AI dollars?
- And how do we measure the ROI of our AI investments?
Acceptable answers include “yes”, “nope”, or “that’s the biggest load of BS I’ve read today”