Ovren
Your AI engineering department that ships your backlog
513 followers
Your AI engineering department that ships your backlog
513 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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Launch Team / Built With
The real challenge will be ensuring AI understands repo specific architecture and conventions deeply.
Ovren
@colin_barrett Exactly, that's the real change. No generating code, but understanding repo-specific constructs well enough to produce changes teams can actually trust and review.
Ovren
@colin_barrett Exactly, that's an important challenge which Ovren trying to solve. All repository import analyzed for architecture and conversions. Then that's used for solving the tasks.
Ovren
@colin_barrett @maxim_agapov Thank you, Max. Good point.
Is the pricing model affordable for small startups ?
Ovren
@zabbar Yes, that's exactly who we are optimizing for early on. We want it to be accessible for startups and small teams, no, just larger engineering orgs.
I built a similar system for personal use — Velo, an agentic engineering team built on Claude Code. It comprises a full squad of specialised agents: Product Manager, Tech Lead, domain engineers, and reviewers across security and observability. The workflow is approval-gated at every stage — PRD before design, design before build, review before commit. Nothing reaches the codebase without explicit sign-off.
Ovren
@rajasekarm Thanks for sharing! I really like it! The approval-gated flow is exactly the right direction in our view. Structured execution, clear checkpoints, and humans. I know where it matters.
Ovren
@rajasekarm agree that successful agent approach nowadays. We are using similar approach in the Ovren. Just let the user to validate/comment/approve critical steps.
Does the current coding style of the project stay preserved?
Ovren
@natalia_iankovych Yes, that’s actually a key part of the product. Ovren works within the context of the existing codebase, so keeping the project’s patterns, structure, and coding style consistent is a big priority for us.
Ovren
@volker_bohn Not tied to a single one, the important part is the execution layer around it. Ovren is built to scope work, understand the existing codebase, execute tasks, and return reviewable code updates inside a structured workflow.
FuseBase
Guys, congrats on your launch day, and I love the positioning.
Backlog is one of those problems - painful, but somehow still unsolved. What about your target audience right now? Whether there are solo founders, small teams, or larger engineer teams?
Ovren
@kate_ramakaieva Thanks a lot, Kate, really appreciate it.
Right now we’re most focused on startups and small teams where backlog pressure is high and engineering bandwidth is limited. But we also see strong value for solo founders and, over time, larger engineering teams as the workflows get deeper.
Curious where you feel this pain is strongest today?
FuseBase
@mikita_aliaksandrovich Backlog is our everything 😅 Startups for sure.
Ovren
@kate_ramakaieva Exactly, startups feel like the most natural starting point for this. That's exactly where we see the strongest pull right now.
Ovren
@kate_ramakaieva important to high that's not a replacement of the developers. That's enforcement of the existing team.
Ovren
True, thank you.
Jinna.ai
Interesting! Congrats on a launch. How does Ovren integrate with other tools and existing workflows like Claude? Is it a web platform? Does it has CLI/skills to plug in?
Ovren
@nikitaeverywhere Thanks a lot, Nikita, appreciate it. Right now, it's a web platform focused on assigning scope tasks and returning reliable code updates. Over time, we definitely see deeper workflow integrations becoming a big part of the product, according to a more flexible way to fit into existing engineering setups.