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Prove AI is improving engineering output and code quality

Exceeds AI analyzes commit-level activity to show how AI affects adoption, quality, and ROI across your engineering team. It helps leaders see where AI is working, where rework is rising, and what to do next.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Integrations
B2B
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Recent activity

What's happened with Exceeds AI lately

  • Score change
    triggered by news
    Agenticness score 5 → 6 ↑56/36(+1)

    Score re-evaluated after: Why are coders reaching for Z.ai's GLM 5.2 before frontier models on some coding tasks?

    See the news that prompted this
  • News
    Why are coders reaching for Z.ai's GLM 5.2 before frontier models on some coding tasks?

    Z.ai's GLM 5.2 has narrowed the gap with U.S. rivals on several coding benchmarks. Zain Hasan of Together AI says he now sends harder problems to frontier models and simpler ones to cheaper tools. For those tracking AI coding assistants, this signals that model choice is becoming a cost and task match, not just a quality race. The twist is that GLM 5.2 is good enough for work once reserved for pricier systems, but not across every coding job.

    via IEEE Spectrum: Technology, Engineering, and Science News

  • Score change
    Rubric upgrade v3_0 → v3.1: score 7/32 → 5/3675/36(-2)

    Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.

    See the news that prompted this

News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Exceeds AI is an engineering analytics platform focused on measuring the impact of AI use in software teams. It sits closer to code intelligence and team reporting than to a coding assistant: the product analyzes commits, repositories, and related...

What To Know

The product appears strongest as an analytics and reporting layer for teams already using AI in development. It surfaces dashboards, per-engineer profiles, and advisor-style recommendations grounded in commit and ticketing data. That makes it useful...

Key Features
Commit-level AI analytics for code contributions
Actionable dashboards for adoption, quality, and ROI
Individual engineer profiles with strengths and growth areas
AI Advisor that explains issues and suggests next steps
15-minute setup via GitHub or GitLab connection
Use Cases
Engineering leaders evaluating whether AI coding tools are improving productivity
Managers tracking AI adoption and rework across teams and repositories
Enterprises building reports on AI ROI for engineering organizations
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Jul 25, 2026

Dimension Breakdown

Action Capability
Autonomy
Planning
Adaptation
State & Memory
Reliability
Interoperability
Safety
Operator Sovereignty

Categories

Pricing
  • Free: 30-day Pilot plan; 1 seat, up to 10 contributors analyzed, 1 repository, standard dashboards, GitHub/GitLab integrations, Entra and Google Workspace access, and 10 AI insight credits per month.
  • Pro ($49/manager/month): Early Partner Pricing; 50 seats, unlimited* contributors and repositories, expanded dashboards, GitHub/GitLab integrations, Entra and Google Workspace access, 50 AI insight credits per seat per month, and optional Jira/Linear integration add-on.
  • Enterprise: Contact sales; custom seats, unlimited* contributors and repositories, standard and advanced ROI/team dashboards, GitHub/GitLab/Linear/Jira/Google Drive/HRIS integrations, Entra/Google Workspace/Okta/SSO access, AI insight credits included with BYOK, and dedicated support.

*Fair use limits noted on the site for the paid tiers.

Details
AddedMarch 31, 2026
RefreshedMarch 31, 2026
Agenticness
Quick Facts
DeploymentCloud-hosted
AutonomyCopilot (human-in-loop)
Model supportSingle model
Open sourceNo
Team supportEnterprise
Pricing modelFreemium
Interfaceweb, api
Sources
Last updated July 25, 2026
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