Ovren
Your AI engineering department that ships your backlog
532 followers
Your AI engineering department that ships your backlog
532 followers
Every team has a backlog full of tasks that never make it into a sprint. Ovren puts AI frontend and backend engineers on it - they work inside your real codebase, execute scoped tasks, and deliver reviewable code updates. You stay in control. Nothing ships without your approval.
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Ovren
Maxim here, CTO at Ovren
What I like most about this space is that the real challenge isn’t code generation — it’s making AI reliable inside real codebases, where architecture, conventions, and reviewability matter.
That’s why we’re focused on well-scoped backlog work first: practical trust, strong repo context, and clear outputs instead of black-box automation.
Really curious what engineering tasks people here would actually automate first.
Ovren
@maxim_agapov Exactly, practical trust inside real codebases is the hard part. That’s a huge part of what we’re building.
Ovren
Kirill here — I’m focused on the data and intelligence side of Ovren.
For me, backlog automation gets interesting when it moves beyond code generation and into real context understanding.
To be genuinely useful, the system has to make sensible decisions inside messy repos and return changes a team can actually trust.
We’re starting with well-scoped tasks first, then pushing toward deeper automation layers like QA.
Would love to hear where people think AI becomes truly useful first in the software delivery workflow.
Ovren
@kirill_lepchenkov Well said, context understanding is where this gets truly useful, especially inside real repos and delivery workflows.
UXPin Merge
Really like this direction. Focusing on actual backlog execution instead of just suggestions feels like a meaningful shift. What kinds of tasks are teams trusting it with first?
Ovren
@uxpinjack Mostly well-scaled backlog workflows, bug fixes, cleanup, small refactors, UI changes, tests, and small feature executions. That's where trust builds fastest.
Ovren
@uxpinjack Well-scaled backlog workflows for now, but we are working on more ambitious workflows with ambiguity resolution for tackling more complex tasks
Ovren
@uxpinjack @kirill_lepchenkov Well said. Thank you.
Biggest value here is not writing new code but cleaning up the engineering debt that teams ignore.
Ovren
@bruce_warren Exactly. A lot of real value is hidden in the work teams keep postponing. That's the backlog we want to help clear.
Ovren
@bruce_warren Hundred percent true.
My team and I use Orwin, and it was a fantastic product. We had a UI glitch. We made it visible, but it wasn't linked to the backend code, so there was a backlog in that. We had to fix that, and Orwin was there to speed things up, so it was a great help.
Ovren
@aditya_singhal12 Thanks a lot, Aditya, really appreciate it 🙌
That’s exactly the kind of backlog work Ovren is built to help teams move through faster.
Ovren
@aditya_singhal12 Great to hear!
The scoped task approach is smart it reduce risk compared to fully autonomous coding agents.
Ovren
@brian_douglas5 Exactly, that's the path we believe in.
Naoma AI Demo Agent
Congratulations guys! Such a cool product
Ovren
@dmitry_zakharov_ai Thanks a lot, Dmitry, really appreciate it. Glad it resonates 🙌
Ovren
@dmitry_zakharov_ai Thank you for the support!