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  3. /Ask HN: Hard and deep tech – why are Jira and Confluence the go-to PM tools?
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  3. /Ask HN: Hard and deep tech – why are Jira and Confluence the go-to PM tools?
Last activity 10h agoPosted Nov 25, 2025 at 8:54 PM EST

Hard and Deep Tech – Why Are Jira and Confluence the Go-to Pm Tools?

dnlh_lvg
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Mood

informative

Sentiment

neutral

Category

ask_hn

Key topics

Project Management
Hard Tech
Deep Tech
Jira
Confluence
Genuinely curious for folks working in hard tech and deep tech (industries like aerospace, aeronautics, maritime, nuclear, biotech/pharma, etc.) -- why are Jira and Confluence still the prominent tools for project management?

Atlassian was built for software workflows, so I get why software teams rely on it. But for hardware/ops-heavy teams, it always felt like an odd fit to me.

My take for why hardware/ops teams still use it are below but I'm curious to hear other people's opinions.

-Regulatory + data security requirements (ITAR, export control, validated systems, etc.) box teams into whatever their org already approved years ago. -Heritage + inertia. Jira/Confluence have been around forever, most companies already use them, and no one wants to be the person who tries to introduce something new. -“At least everyone knows how to use it.” In mixed orgs (prime <> supplier <> test house <> customer), Jira/Confluence are the lowest common denominator tools people can agree on, even if they're a bad fit. -No one wants to adopt or pay for another system. Hardware teams already juggle spreadsheets, slides, GSE databases, readiness trackers, etc. Jira and Confluence are “good enough,” so they stick.

If Jira and Confluence aren't a great fit for hardware/ops work, what would a better tool actually need to do? And what would make adoption difficult?

Discussion Activity

Light discussion

First comment

5m

Peak period

2

Hour 1

Avg / period

1.3

Key moments

  1. 01Story posted

    Nov 25, 2025 at 8:54 PM EST

    1d ago

    Step 01
  2. 02First comment

    Nov 25, 2025 at 8:59 PM EST

    5m after posting

    Step 02
  3. 03Peak activity

    2 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Nov 26, 2025 at 10:59 AM EST

    10h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

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ID: 46053293Type: storyLast synced: 11/26/2025, 1:56:07 AM

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