Exceeds

MARCH 2026

student.tudelft.nl Engineering AI Productivity Report

A focused summary of AI adoption, productivity lift, and code quality for the student.tudelft.nl engineering team.

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

The student.tudelft.nl engineering team reports 61.2% AI adoption, 1.24× productivity lift, and 21.6% 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

61.2%

AI assistance is present in 61.2% of recent commits for student.tudelft.nl.

AI Productivity Lift

MODERATE

1.24×

AI-enabled workflows deliver an estimated 24% lift in throughput.

AI Code Quality

LOW

21.6%

Review insights show 21.6% overall code health on AI-supported changes.

How is the student.tudelft.nl team performing with AI?

The student.tudelft.nl engineering team reports 61.2% AI adoption, translating into 1.24× productivity lift while sustaining 21.6% 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?

student.tudelft.nl is at 61.2%. This is 17.6pp above the community median (43.7%)..

61.2%

Roughly in line43.7% Community Median

Spot squads sitting below the median and pair them with high-adoption champions to share workflows.

Does AI actually make developers faster?

student.tudelft.nl operates at 1.24×. This is 0.11× above the community median (1.13×)..

1.24×

Roughly in line1.13× Community Median

Instrument reviewer assignment and AI summaries to trim the slowest merge steps and edge past the median.

How does AI affect code quality?

student.tudelft.nl holds AI-assisted quality at 21.6%. This is 1.6pp below the community median (23.2%)..

21.6%

Roughly in line23.2% Community Median

Invest in AI-specific test checklists and shadow reviews to keep quality slightly ahead of peers.

How evenly is AI use distributed across our team?

49.2% of AI commits come from the most active contributors.

49.2%

Pair top AI practitioners with adjacent squads and capture their prompts/playbooks for reuse.

How can I prove AI ROI to executives?

student.tudelft.nl has a solid ROI signal with room to strengthen either adoption, lift, or quality before presenting to executives.

Document case studies where AI accelerates delivery while maintaining quality, and expand playbooks across teams.

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:

CA

cancun.tecnm.mx

(87.3%)

MO

momentohq.com

(87.3%)

UB

ub.edu

(21.2%)

RO

rossabaker.com

(21.2%)

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

Productivity Lift

Cycle-time improvement vs baseline

Companies in this quartile:

IN

inngest.com

(4.82×)

U.

u.nus.edu

(2.87×)

AC

acad.pucrs.br

(1.12×)

MC

mcornholio.ru

(1.12×)

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:

IN

inngest.com

(701.7%)

ID

idesie.com

(649.2%)

GZ

gzgz.dev

(20.0%)

GW

gwu.edu

(20.0%)

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

Top contributors combine high AI adoption and quality output. Encourage internal sharing of best practices.

MA

MartijnVDV

Commits188
AI Usage46.0%
Productivity Lift2.00x
Code Quality20.0%
KM

kmalkow

Commits28
AI Usage90.0%
Productivity Lift2.00x
Code Quality20.0%
BJ

BjornVerhoef

Commits86
AI Usage44.0%
Productivity Lift1.77x
Code Quality55.0%
BB

Berend Bouvy

Commits42
AI Usage58.0%
Productivity Lift1.17x
Code Quality20.0%
BB

bboekema

Commits17
AI Usage24.0%
Productivity Lift1.14x
Code Quality20.0%

Encourage knowledge transfer from top AI users to others through internal mentoring or recorded "AI coding walkthroughs." Balanced adoption across the team typically improves overall performance by 12-15%.

Cross-Organization Network

Shared Repositories

13

Unknown contributor

airweave-ai/airweave

tr5546

FreyavanApeldoorn/DSE-26

monadevos

TUDelft-MUDE/book

MartijnVDV1

Boef23/B09_WP4_5_Python

kmalkow

tudelft/paparazzi

marnick1268

PaSieg0/Ekranoplan-DSE

Activity

245 Commits

Your Network

24 People
ICSlingerland
Member
ihendrickx
Member
IvoWehsely02
Member
J.M.vanEsveld@student.tudelft.nl
Member
marnick1268
Member
MikeErkemey
Member
ReinierZwikker
Member
bboekema
Member
BjornVerhoef
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