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@Atlassian

We're on a mission to help unleash the potential of every team.

Maker of collaboration tools like @Jira, @Confluence, @Loom, @Trello, and more.
San Francisco, Sydney atlassian.com Joined December 2008
6K Following 107K Followers 25K Posts

Latest posts 5

Atlassian @Atlassian
Shipping faster ≠ delivering value. @aakashgupta breaks down why AI adoption is hitting a value gap in the latest State of Product report ⬇️
Aakash Gupta Verified account @aakashgupta Oct 2
Atlassian's State of Product 2027 report is out, and one finding explains most of what I've been hearing from product leaders this year.

80% of product teams say they're shipping faster with AI. Customers aren't getting value any sooner.

The team behind Jira Product Discovery surveyed 1,000 senior product professionals across the US, Germany and France, so this isn't a small sample. Here's what stood out to me:

1. Decision-making didn't speed up. 69% say it's exactly as slow as before. The coding got faster, the docs got faster, and then it all sits in the same meetings waiting on the same debates about what to build.

2. AI adoption is done. 99% say AI is fully integrated into their workflows. Nobody is piloting anymore, so having AI is no longer an advantage over the team next door.

3. The PM role is blurring. 89% are doing other functions' work with AI and 67% can no longer clearly define their own job. Designers are prototyping, engineers are writing specs, PMs are doing a bit of everything.

4. Product is sharing the stage more. Only 24% say Product leads cross-functional work, down from 47% in 2025. That is the biggest drop in the whole report.

5. Prioritization still runs on opinion. Customer feedback, product data and business context sit across dozens of tools, nobody sees the full picture, and roadmap calls default to whoever's loudest. AI didn't touch this problem because the inputs were never connected.

6. Deciding what to build matters more than ever. 86% say so. Driving measurable business results tops this year’s list of rewarding work. Last year, it sat at the bottom.

My read is that for most teams, speed was never the real constraint. Alignment and customer insight were. AI just removed the excuse. When building is cheap, a team's quality shows up entirely in what it chooses to build, and a lot of teams are finding out their choosing process was weaker than their shipping process.

The upside is that the hard part moved to exactly where PMs are supposed to add value. Deciding well was always the job. It's just harder to hide bad decisions behind slow delivery now.

The full report has the year-over-year data and a section on how the high-performing teams are handling this. It's worth the 20 mins: go.atlss.in/eepnpy

Where is this pressure showing up for you?

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Atlassian @Atlassian
AI ships code faster. Ops has to keep up. ⚡

1️⃣ Prevention Center flags risky changes before release.
2️⃣ Incident Command Center speeds up root cause.
3️⃣ Datadog, Sentry, and Splunk context in the incident workflow.

Ship fast. Stay stable.
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Atlassian @Atlassian
AI adoption ≠ AI impact: if your team is writing code faster but shipping at the same speed, you’ve got a "friction gap." 👇
Marko Denic Verified account @denicmarko 4d
AI can help you write code faster. But that doesn't mean your team is shipping faster.

According to Atlassian's 2026 State of DevEx Report, 87% of developers say AI helps them ship faster, but only 28% report noticeably less friction.

That gap says a lot.

Finding information, meetings, context switching, and tech debt don't magically disappear when you add an AI coding assistant.

And 65% of developers spend time correcting AI-generated work that missed the original intent.

We're getting better at generating code. The bigger challenge is connecting that code to the right context, requirements, reviews, and workflows.

AI adoption isn't the same as AI impact.

The next step isn't just giving developers more tools. It's rethinking how the entire SDLC works with AI.

That's exactly what @Atlassian is digging into on November 9 with industry experts @kelseyhightower, @nathenharvey, @jkriggins, and @Andrew_boyagi.

What's the biggest bottleneck AI hasn't solved for you yet?

Join the panel discussion and register for Atlassian's State of DevEx 2026 webinar:
fandf.co/4BGpB72
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Thanks to @Atlassian for sponsoring this post!
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Atlassian @Atlassian
Stop rebuilding decks from scratch and start reclaiming your dinner plans. 🍽️

x.com/georgestern/st…
George Stern Verified account @georgestern Oct 19
Your boss texts at 7:15 p.m. - "slides due tomorrow"

And somehow, it gets even worse:

Turns out, the deck you made needs to be fully rebuilt.

And sorry about your dinner plans, but that's now your problem.

It doesn’t have to go like that!

I've partnered with @Atlassian to show a better way.

Their Confluence slides turn existing work into a presentation-ready deck in seconds.

↳Charts
↳Timelines
↳Visuals

Without starting from scratch.

Perfect for when your manager needs something last minute.

In fact, they can do it themselves now in seconds without even bugging you.

Be a better boss.
Stop the late-night scramble.

Try it here: go.atlss.in/18ljyw

P.S. What's the latest your boss has ever asked you to work?

#Ad #AtlassianPartner
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