Exceeds

MARCH 2026

kobert.dev Engineering AI Productivity Report

A focused summary of AI adoption, productivity lift, and code quality for the kobert.dev engineering team.

See how AI-active teams rank this week on the Exceeds Leaderboards.

The kobert.dev engineering team reports N/A AI adoption, N/A productivity lift, and N/A code quality across recent work.

These metrics track how AI integrates into delivery pipelines, how throughput changes when assistance is used, and the health of AI-supported code review outcomes.

What this report measures

We analyze commits and diffs to estimate AI adoption, productivity lift, and code quality for your engineering organization.

How to interpret these metrics

Use these signals to understand how AI assistance fits into day-to-day development, where enablement efforts drive throughput, and how review practices keep quality steady.

AI Adoption Rate

MODERATE

N/A

We are still collecting reliable adoption data for kobert.dev.

AI Productivity Lift

MODERATE

N/A

We are still collecting reliable productivity data for kobert.dev.

AI Code Quality

MODERATE

N/A

We are still collecting reliable quality data for kobert.dev.

How is the kobert.dev team performing with AI?

The kobert.dev engineering team reports N/A AI adoption, translating into N/A productivity lift while sustaining N/A code quality. These outcomes suggest AI-supported reviews are embedded in day-to-day delivery without trading off reliability.

Manager Questions Answered

Real questions engineering leaders ask about AI productivity, with live benchmarks and company-specific data.

What's a good company AI adoption rate?

We are still collecting reliable AI adoption data for kobert.dev.

Launch guided prompts, pairing sessions, and opt-in experiments to build confidence before scaling automation.

Does AI actually make developers faster?

Productivity lift data for kobert.dev is not yet available.

Pilot AI-assisted grooming, ticket triage, or incident retros to create visible productivity wins.

How does AI affect code quality?

Quality metrics for AI-assisted code at kobert.dev are still being collected.

Add structured AI code review rubrics and require human sign-off for critical surfaces.

How evenly is AI use distributed across our team?

We need more AI activity before measuring contributor concentration at kobert.dev.

Run prompt-sharing sessions, codify AI review checklists, and incentivize broad participation.

How can I prove AI ROI to executives?

To prove ROI, kobert.dev needs steadier adoption, measurable lift, and consistent quality. The ingredients are forming but not yet executive-grade.

Start with a lighthouse project, measure cycle improvements end-to-end, and harden quality guardrails.

See how your full organization compares

Unlock personalized insights across all your repositories, teams, and contributors.

Securely connect Exceeds with your codebase to get commit-level insights on AI adoption and performance.

How Your Company Ranks

See how top engineering organizations compare across AI adoption, productivity lift, and code quality.

AI Adoption

% of commits with AI assistance

Companies in this quartile:

Peer benchmark data unavailable.

Top 25% of teams adopt AI in 65-75% of their commits.

Productivity Lift

Cycle-time improvement vs baseline

Companies in this quartile:

Peer benchmark data unavailable.

Top performers sustain 1.5× cycle-time improvements over six months when embedding AI into workflows.

Code Quality

Post-merge defect rate

Companies in this quartile:

Peer benchmark data unavailable.

Top 25% maintain quality above 92% while expanding AI usage, pairing automation with rigorous guardrails.

Rankings based on aggregated Exceeds AI dataset of 1.2M commits across open-source and enterprise engineering teams (Q4 2025).

Top contributors

No contributors available for this organization yet.

Cross-Organization Network

Shared Repositories

0

TrueDoctor

No repositories listed

Activity

82 Commits

Your Network

1 People
TrueDoctor
Member

Why these metrics matter for engineering managers

Faster delivery

1.4x lift → predictable roadmaps

Safer velocity

93% quality → lower rollback risk

Equitable gains

AI less dependency on heroes

Governance

Depth monitoring audit-ready

ExceedsExceeds AI

Turns these insights into daily coaching and automatic alerts, helping managers balance speed with sustainability.

See the truth of AI impact

Adoption + lift + quality in one view

Learn more

Know where to act first

Repo and role level "lift potential"

Learn more

Prove ROI

Export executive snapshots and benchmarks

Learn more