AGENT IMPACT,
QUANTIFIED.

The performance platform for AI-powered engineering teams.

Agent Impact Leaderboard
GITKRAKEN IS Trusted by teams at

Rank every agent.
Measure every outcome.
Prove the return.

Rank

Every agent on your team, ranked by what they shipped, what they cost, and what made it to production.

Measure

Output in business terms. Delivery velocity, capacity returned, features shipped. The metrics leadership asks for.

Prove

The ROI of every dollar of AI spend. Per tool, per team, per developer. Board-ready.

Four questions every engineering leader is being asked about AI. Four answers.

1.

AI – Business Impact & ROI

The return on every dollar of AI spend.

Change in productivity, additional developer hours, capacity returned in dollars. Per team, per tool, per developer. The numbers your CFO will accept.

2.

AI – Adoption & Autonomy

See who's using agents, and how deeply.

Two scores per developer. Adoption measures daily use, depth, and output. Autonomy measures how much of the work is handed off to agents. Cohorts surface who’s leading, who’s learning, and who needs help before the rollout stalls.

3.

AI – Repo Readiness

Know which codebases are
ready for agents.

Every repo scored on what agents need to work well. AI instruction files, CI configuration, test coverage, build reliability. Action items when something’s missing. An agent is only as good as the repo it’s working in.

4.

AI – Tool & Model Performance

Rank Every AI Tool & Agent Your Team Uses.

Claude Code. Cursor. Codex. Plus every model powering them. Per developer, per team, per task. Cost, cycle time, PR size, bugs shipped. The scoreboard you open when someone asks which tools to cut.

The full picture of how your team ships

DORA, PR flow, code quality, and developer sentiment. In one platform.

DORA

DORA metrics in context.

All four. Deploy frequency, lead time, change failure rate, MTTR. With the trend context that tells you whether a spike is noise or a pattern.

PR Flow

Find where PRs get stuck.

Pickup time, cycle time, review load, post-merge defects. See what’s slowing your team down.

Code Quality

Code quality, beyond linting.

Churn, copy-paste, tech debt hotspots, complexity by directory. Know which code is slowing you down before it becomes an emergency.

Sentiment

Sentiment as a leading indicator.

Flexible surveys that correlate how developers feel with how they’re performing. Honest responses from a brand 40M+ developers already trust.

Built for How You Lead

Engineering Executives

Walk into the board review with the AI ROI number.

Defend the AI budget with cost-and-return data, per tool, per team
See whether AI is accelerating delivery or adding to the line item
Tie engineering output to the goals your CEO is tracking
See team health without asking anyone for a status update

Engineering Managers & Team Leads

Run the team. Including the agents on it.

See which agents are working for which developers. And which aren't
Spot stuck PRs before standup
Catch velocity drops and sentiment dips before attrition
Walk into retros with data your team trusts

Platform & DevEx Leaders

Roll out AI. Prove it worked.

Score every repo for agent-readiness before the rollout starts
See adoption and autonomy by team, cohort, and developer
Compare every AI tool your team uses side by side
Build the business case for the next round of AI spend

If your team uses it,
Insights measures it

GitHub, GitLab, Jira, Linear, VS Code, Cursor, Claude Code, Copilot. Plus whatever you roll out next.

The only engineering
intelligence platform built for  agent-led engineering.

DIY & Homegrown

Build it yourself

❌ Months of dashboard building

❌ Breaks when your data person leaves

❌ No AI Measurement

❌ No way to prove ROI

GitKraken Insights

Agent-first engineering intelligence

✅ Agent-first. Impact, ROI, adoption, autonomy

✅ On top of tools 40M+ developers already use

✅ 15 minutes to first answers

✅ 75% less than legacy SEI

Legacy SEI platforms

Built before agents

❌ Built before agents. Bolting on AI now

❌ Exec Dashboards with dev surveillance

❌ 3-6 month rollouts

❌ $100K+ annually

75% less than other engineering intelligence platforms

Advanced

For small teams answering basic SDLC questions

$18 $9 per contributor, per month
paid annually

Up to 100 seats | 25K commits | 60 days historical data

Core Capabilities
  • DORA metrics
  • PR & cycle time metrics
  • Delivery & issue tracker metrics
  • Basic Voice of the Developer surveys
  • Goals & notifications
  • Customizable dashboards
  • Supports multiple Git hosts

Business

For more complex teams with AI-centric questions

$28 $14 per contributor, per month
paid annually

Up to 1,000 seats | 100K commits | 6 months historical data

  Everything in Advanced, plus:
  • AI code assistant metrics
  • Code quality metrics
  • Copy/paste vs. moved analysis
  • Defect rate before & after AI
  • Premium survey capabilities
  • Compare multiple AI tools
  • Weekly performance reports
  • CSV data export

Enterprise

For security-minded teams that value scale & AI analysis

$38 $19 per contributor, per month
paid annually

Unlimited seats | 300K commits | 1 year historical data

  Everything in Business, plus:
  • Dev or team cohorts by AI adoption
  • Post-PR work tracking
  • AI Agent Impact Leaderboard
  • Business Impact & ROI Dashboard
  • Unlimited dashboards & surveys
  • AI summaries & recommendations
  • AI query & chat
  • Dev capacity & forecasting (coming soon)
  • API access for custom data export
  • Enterprise support with named CSM
  • SOC 2 & security questionnaires
  • On-premise deployment (contact us)

Free Resources for leaders

Case Study

How Case IQ Uses GitKraken Insights To Quantify AI Impact On Engineering Investments

On-demand webinar

Measuring The AI Impact On Developer Experience

E-book

The AI Multiplier Effect


on-demand webinar

Measuring Developer Productivity
in the Age of AI

e-book

Quantifying The Impact Of AI

virtual conference

GitKon 2025: Builders At Scale

On-demand webinar

Engineering Intelligence in Minutes, Not Months

e-book

The Hidden Productivity Killers
for Devs

E-book

The State of Developer Workflows

on-demand webinar

Your Developers Hold the Key to Your Next Breakthrough. Are You Empowering Them?

On-demand webinar

Beyond the Hype: Actually Measuring AI’s Impact on Your Engineering Team

CASE STUDY

How a Major U.S. Health Plan Replaced DIY Analytics with Org-Wide Engineering Visibility

TRUSTED BY
40+ MILLION DEVELOPERs

GitKraken is already trusted for critical development workflows. Insights brings the same developer-first approach to engineering intelligence.

Ready to See What's Really Happening In
Your Engineering Organization?

Get engineering intelligence in minutes, for a fraction of the cost.

Frequently Asked Questions

GitKraken Insights is an engineering intelligence platform that helps teams measure and improve their software delivery performance. It automatically tracks DORA metrics (deployment frequency, lead time, change failure rate, and mean time to recovery), provides visibility into AI tool impact on productivity and code quality, and identifies workflow bottlenecks across your development process. With 15-minute setup and seamless integration with your existing Git repositories and CI/CD tools, Insights gives engineering and product leaders actionable data to optimize team performance without the complexity and cost of enterprise alternatives.
Insights was designed for engineering leaders who want meaningful visibility without the overhead. If you’re struggling to understand how work flows through your team—how long code reviews take, where quality drops, or where bottlenecks hide—Insights gives you clarity with metrics that actually matter. No digging through dashboards. Just real-time, actionable dev intelligence.
Insights is available with GitKraken Advanced, Business and Enterprise subscriptions. Additional Insights-only seats are available for broader team coverage, providing visibility into development activity for all team members regardless of whether they are using GitKraken tools or not. This ensures complete team visibility across your entire engineering organization.
GitKraken Insights gives engineering leaders the visibility they need to make data-driven decisions about their teams and processes. It automatically tracks DORA metrics to benchmark performance and identify improvement opportunities, measures the real impact of AI coding tools on productivity and code quality, and surfaces workflow bottlenecks that slow down delivery. Instead of relying on gut feel or building custom dashboards, engineering leaders get actionable insights in minutes—helping them optimize team efficiency, justify tool investments, and demonstrate engineering impact to stakeholders.
GitKraken Insights can be set up in approximately 15 minutes. Simply connect your Git repositories and CI/CD tools, and Insights will automatically start tracking your DORA metrics and engineering performance data. There’s no lengthy implementation process, complex configuration, or months-long setup required—unlike enterprise alternatives that can take weeks or months to deploy.

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See GitKraken Insights in Action

Take an interactive tour to see how GitKraken Insights helps you quantify AI’s impact, spot bottlenecks, and prove engineering ROI.

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