Exceeds

MARCH 2026

uniminuto.edu.co Engineering AI Productivity Report

A focused summary of AI adoption, productivity lift, and code quality for the uniminuto.edu.co engineering team.

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

The uniminuto.edu.co engineering team reports 76.3% AI adoption, 1.61× productivity lift, and 61.6% 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

HIGH

76.3%

AI assistance is present in 76.3% of recent commits for uniminuto.edu.co.

AI Productivity Lift

HIGH

1.61×

AI-enabled workflows deliver an estimated 61% lift in throughput.

AI Code Quality

LOW

61.6%

Review insights show 61.6% overall code health on AI-supported changes.

How is the uniminuto.edu.co team performing with AI?

The uniminuto.edu.co engineering team reports 76.3% AI adoption, translating into 1.61× productivity lift while sustaining 61.6% 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?

uniminuto.edu.co is at 76.3%. This is 32.6pp above the community median (43.7%)..

76.3%

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?

uniminuto.edu.co operates at 1.61×. This is 0.48× above the community median (1.13×)..

1.61×

↑0.48× above1.13× Community Median

Double down on automation around QA and release prep to compound the gains already in flight.

How does AI affect code quality?

uniminuto.edu.co holds AI-assisted quality at 61.6%. This is 38.4pp above the community median (23.2%)..

61.6%

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?

51.3% of AI commits come from the most active contributors.

51.3%

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

How can I prove AI ROI to executives?

uniminuto.edu.co 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.

JU

Juan-Alvarez77

Commits108
AI Usage62.0%
Productivity Lift2.00x
Code Quality92.0%
SS

ssmoreno55

Commits157
AI Usage92.0%
Productivity Lift2.00x
Code Quality100.0%
GP

gpedraza1

Commits55
AI Usage42.0%
Productivity Lift1.58x
Code Quality20.0%
WI

WilmerBriceo

Commits25
AI Usage92.0%
Productivity Lift1.50x
Code Quality20.0%
AN

andres24-uni

Commits75
AI Usage70.0%
Productivity Lift1.42x
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

2

camilominuto

jaiderospina/DevSecOps

dsindicue

jaiderospina/DevSecOps

PaolaQ-I

jaiderospina/DevSecOps

gpedraza1

jaiderospina/DevSecOps2025

WilmerBriceo

jaiderospina/DevSecOps2025

DianaMahecha12

jaiderospina/DevSecOps2025

Activity

542 Commits

Your Network

29 People
Adrianatobon210921
Member
AlfreGF21
Member
AndresCruz3007
Member
AngelRod-cyber
Member
BrayanH96
Member
camilominuto
Member
CharlesGuerrero14
Member
danielcastrope
Member
DianaMahecha12
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