AI-POWERED ENGINEERING INTELLIGENCE

Visibility and control for
AI-driven engineering

Oobeya helps engineering leaders see delivery, quality, and AI-assisted workflow change in one operating view. Move from fragmented signals to clear decisions, stronger governance, and faster improvement loops.
app.oobeya.io/dashboard
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Connect Tools

30+ integrations

GitHub Copilot Cursor Azure DevOps Jira GitHub GitLab Bitbucket Jenkins ArgoCD SonarQube ServiceNow NewRelic +18 more

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Trusted by engineering teams

Teams use Oobeya when they need clarity beyond dashboards

Delivery, quality, workflow, and AI-assisted change become easier to act on when the operating picture is shared.

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The Oobeya Difference

Why engineering teams choose us

Oobeya helps organizations move from disconnected tools and lagging dashboards to one clearer system for delivery, quality, AI impact, and engineering governance.

Unified view

One operating picture across the SDLC

Bring repositories, boards, pipelines, quality signals, incidents, and AI-assisted workflow data into one leadership-ready surface.

Leadership signal

Ask Oobeya AI

Turn scattered telemetry into clear answers, summaries, and leadership-ready guidance on what to fix next.

AI context

AI-assisted delivery with governance

Understand where coding assistants change speed, quality, and review pressure without losing accountability.

Enterprise fit

On-premise deployment

Run Oobeya in the deployment model that fits your governance, residency, and enterprise operating constraints.

Ask Oobeya

Chat with your engineering data

Ask plain-language questions about delivery risk, team load, release stability, and AI-assisted workflow change. Oobeya connects signals across your SDLC and returns contextual, explainable answers in seconds.

  • Why did change failure rate increase last sprint?
  • Which teams are accumulating delivery risk after AI adoption?
  • Where are review bottlenecks forming, and why?
  • What changed across repos, and how does it impact stability?
Ask Oobeya
AI Chat

You

10:42 AM

What changed last week, and why does it matter?

Oobeya

10:42 AM

Change volume increased by 28% in Team A, review time rose due to 2x larger PRs, and change failure rate ticked up after a spike in hotfixes. The primary driver is a growing queue in code review.

Oobeya is typing...
Show risk trend by teamWhich repo needs review focus?
Ask follow-up about risk, owners, bottlenecks...

DORA

DORA metrics leadership can actually act on

Measure the four key metrics with delivery, quality, and AI workflow context in the same operating view.

See whether faster output is producing healthier delivery.
Tie DORA movement to behavior, tooling changes, and ownership.

Inside Oobeya

DORA in delivery context

weekly view
DORA metrics visualization in Oobeya

Delivery signal

Release pace, review wait time, and work-in-flight together.

Risk signal

Change failure and incident recovery without losing ownership context.

AI impact signal

See whether AI-assisted development changes flow in healthy ways.

Integrations

Connect the stack you already run, without adding process overhead

Oobeya unifies delivery, quality, and organizational context so leadership can work from one consistent operating view instead of fragmented dashboards.

Keep team workflows intact while combining Git, CI/CD, planning, quality, identity, and AI signals into one clearer system of record.

Explore Integrations
Oobeya integrations overview

Insights

Practical writing for leaders shaping AI-driven engineering systems

Read how engineering teams are measuring AI coding assistant adoption, interpreting DORA in context, and building better visibility across delivery, quality, and governance.

Ready to See It in Action?

Talk to an expert, see your data in action

Share your context, and we’ll walk you through the most relevant visibility and governance insights for your teams.

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