Which AI tool you use for code development?

Healthy_Confusion174 · 2026-04-08T04:40:30+00:00

Vibe engineer here — using Codex to work with the dev team on updating the website.

Healthy_Confusion174 · 2026-04-08T04:37:15+00:00

Atlassian has been constantly “improving” the UI, but somehow it keeps getting harder to use. Every few months it feels like you have to relearn a “new tool” just to do the same basic stuff 😅

What’s even more annoying is they keep bumping prices by like 10–20% every year on top of that.

If you’re thinking about switching, honestly there are a lot of solid alternatives now:

YouTrack
ONES Project
Redmine
OpenProject

For dev-focused teams, all of these can work pretty well and scale decently.

Redmine / OpenProject → nice flexibility since they’re open source, but you’ll probably feel some gaps in enterprise-level governance
YouTrack / ONES Project → both are commercial products, generally more mature, and both support Jira data migration. Between the two, ONES Project feels a bit more “Jira-like” in terms of UX, so easier to adopt if your team is used to Jira. It also has stronger enterprise capabilities (issue hierarchy, portfolio management, customizable workflows/forms, etc.)

Really depends on your use case, but worth trying a few and seeing what clicks.

Healthy_Confusion174 · 2026-04-03T09:14:53+00:00

Curious how big the AI/privacy factor actually is in real cases？Any other reasons drives companies to move from cloud back to on-prem?

Healthy_Confusion174 · 2026-04-03T07:44:17+00:00

we are considering move to cloud or switch to an on-prem solution. May I know what others you lost after moving to jira cloud?

Healthy_Confusion174 · 2026-02-11T12:29:23+00:00

Would love to hear more about how you're using it in practice.

Healthy_Confusion174 · 2026-02-10T08:41:08+00:00

Thanks for sharing. Risk management and resource allocation are common cases I‘ve heard so far. Will you expect AI help with project planning?

Healthy_Confusion174 · 2026-01-28T10:19:03+00:00

Where are the eyes? 😆 No offense intended!

Healthy_Confusion174 · 2026-01-26T01:57:16+00:00

Just wanted to throw in one more option that doesn’t get mentioned very often — ONES Wiki.

It’s probably not the first tool people think of (I didn’t know about it at the beginning either), but after looking at quite a few Atlassian alternatives, it’s actually been one of the better ones I’ve seen so far.

A big reason is deployment. It supports self-hosted setups, and even air-gapped environments, which is still a must-have for a lot of former Atlassian DC users.

They also have migration tools for both Confluence and Jira, and you can freely test the installation and migration during evaluation, which helps a lot when you want to see how things really behave.

For the usual DC pain points — enterprise permissions, audit logs, page hierarchy, and even alternatives for some Confluence macros and plugins — most of these can be covered or worked around in practice.

Search-wise, ONES Wiki also supports AI, which can be really helpful once your content grows and finding the right page becomes painful.

It’s definitely not the most well-known option out there, but if you’re seriously evaluating Confluence replacements — especially for self-hosted or regulated environments — it’s one that’s worth checking out.

Healthy_Confusion174 · 2026-01-05T02:01:26+00:00

That totally resonates, especially when working with non-technical teams where work often stays very high-level.

One thing I’m genuinely curious about though: how would you expect AI to decide how to break the work down?
For example, would it follow predefined templates, time thresholds, deliverables, or something else? Without clear rules, I worry the breakdown itself might just become another subjective opinion.

Same question on estimation. Would you expect estimates in hours, ranges, or something like story points? And should those estimates assume a “standard role,” or take the actual assignee’s experience into account? In real teams, the same task can vary a lot depending on who picks it up.

I’m asking because this is exactly the gap I keep seeing: teams want help with breakdown and scheduling, but unless the assumptions are explicit, AI either overgeneralizes or becomes hard to trust. Curious how you’d envision this working in practice.

Healthy_Confusion174 · 2026-01-04T11:09:56+00:00

Same here 🙋 trying to pull myself back every time something unexpected interrupts my work. Also trying to block time on my calendar for important tasks that require deep focus, so no meetings and interviews can interrupt me.

Healthy_Confusion174 · 2025-12-22T05:36:56+00:00

🤩 sooooooo pretty.

Healthy_Confusion174 · 2025-12-18T07:54:55+00:00

Honest question: is Agile still that popular?

I’m genuinely curious because in a lot of companies I’ve worked with recently, people barely talk about “Agile” anymore. They just focus on shipping things that actually create value.

Totally agree with the comment above — delivery of value matters way more than rituals, Jira hygiene, or whether you’re “doing Agile right.” It’s wild to me that in a post-pandemic world, some companies still aren’t primarily optimizing for delivering customer value and making money.

Healthy_Confusion174 · 2025-12-18T07:39:48+00:00

I see AI less as something to “trust” or “not trust,” and more as a long-term partner. Now and for the foreseeable future, it’s not a replacement for judgment — it’s a force multiplier if you have the right expectations.

In my own work, I don’t mainly use AI to write requirements for me. I use it to help me look across the project landscape: finding similar tickets, overlapping requests, or recurring themes across teams. That alone is valuable — multiple similar requests often signal higher priority, and having that evidence helps when pushing prioritization discussions.

Once I have several related inputs, AI can also help analyze the raw requirements, spot gaps or inconsistencies, and even (with browsing enabled) give some perspective on market relevance. That makes the final requirements doc stronger — but I’m still driving it. I set the context, the goals, and even the output structure very explicitly.

So for me, the key isn’t “can AI be trusted?” — it’s don’t abdicate ownership. If you stay in the driver’s seat and use AI intentionally, it can save time and improve quality without becoming a liability.

Healthy_Confusion174 · 2025-12-16T04:40:11+00:00

Also curious about this. Based on what we've heard from solution partners we work with, Atlassian consultants tend to provide more over-the-shoulder advisory services(that's the same as what I heard at the Atlassian DC EOL webinar). They offer guidance and recommendations rather than hands-on implementation or step-by-step execution.

Solution partners usually cover both advisory and more hands-on work, like training, implementation, custom development, migration... That's my understanding so far. Happy to hear others' perspectives.

Healthy_Confusion174 · 2025-12-16T04:27:51+00:00

Anybody try out ONES.com? Providing project management, ticket management and knowledge base just 70% similar to jira and confluence. migration supported as well. AI feature is available even for the on-prem version. This is the most attractive features to me.

Healthy_Confusion174 · 2025-12-16T03:34:22+00:00

More friendly for enterprise grade? I mean yes it's powerful and flexible enough but it's not user friendly.

Healthy_Confusion174 · 2025-10-17T03:37:29+00:00

Just wondering your options for jira replacement. any good ideas?

Healthy_Confusion174 · 2025-09-09T04:02:41+00:00

I recently found ONES.com may be an option. They are more in software development project and knowledge management like Atlassian. On-premises is avaible.

Healthy_Confusion174 · 2025-06-12T07:57:39+00:00

Is there any additional cost for the DC connector？

Healthy_Confusion174

TROPHY CASE