Exceeds

MARCH 2026

bancolombia.com.co Engineering AI Productivity Report

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

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

The bancolombia.com.co engineering team reports 91.9% AI adoption, 1.47× productivity lift, and 52.1% 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

91.9%

AI assistance is present in 91.9% of recent commits for bancolombia.com.co.

AI Productivity Lift

HIGH

1.47×

AI-enabled workflows deliver an estimated 47% lift in throughput.

AI Code Quality

LOW

52.1%

Review insights show 52.1% overall code health on AI-supported changes.

How is the bancolombia.com.co team performing with AI?

The bancolombia.com.co engineering team reports 91.9% AI adoption, translating into 1.47× productivity lift while sustaining 52.1% 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?

bancolombia.com.co is at 91.9%. This is 48.1pp above the community median (43.8%)..

91.9%

↑48.1pp above43.8% Community Median

Keep codifying prompts and monitoring adoption so the lead over peers is sustainable.

Does AI actually make developers faster?

bancolombia.com.co operates at 1.47×. This is 0.34× above the community median (1.13×)..

1.47×

↑0.34× 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?

bancolombia.com.co holds AI-assisted quality at 52.1%. This is 28.8pp above the community median (23.3%)..

52.1%

Roughly in line23.3% 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?

55.3% of AI commits come from the most active contributors.

55.3%

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

How can I prove AI ROI to executives?

bancolombia.com.co combines strong adoption, lift, and quality control—making the ROI story executive-ready.

Link these metrics to deployment frequency and incident cost to convert engineering wins into business KPIs.

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:

ID

idesie.com

(2904.2%)

IN

inngest.com

(1429.6%)

PE

pevesoft.ro

(87.6%)

VL

vllmr.dev

(87.6%)

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

Productivity Lift

Cycle-time improvement vs baseline

Companies in this quartile:

KO

konghq.com

(6.64×)

IN

inngest.com

(4.82×)

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:

KO

konghq.com

(795.0%)

IN

inngest.com

(701.7%)

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.

JC

jcamilomolinar

Commits241
AI Usage90.0%
Productivity Lift1.97x
Code Quality79.9%
RE

renejal

Commits213
AI Usage90.8%
Productivity Lift1.94x
Code Quality72.5%
LU

luarredo

Commits201
AI Usage93.5%
Productivity Lift1.55x
Code Quality81.5%
RB

Release Bot

Commits266
AI Usage20.0%
Productivity Lift1.55x
Code Quality20.0%
SG

Santiago Gaviria Oliveros

Commits253
AI Usage92.0%
Productivity Lift1.43x
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

Gaviria9601

bancolombia/devsecops-engine-tools

bancolombia/django-DefectDojo

cajlopezor

bancolombia/devsecops-engine-tools

iralgarc

bancolombia/django-DefectDojo

dhfherna

bancolombia/devsecops-engine-tools

renejal

bancolombia/django-DefectDojo

bancolombia/devsecops-engine-tools

Unknown contributor

bancolombia/devsecops-engine-tools

Activity

853 Commits

Your Network

14 People
renejal
Member
cajlopezor
Member
dhfherna
Member
iralgarc
Member
jcamilomolinar
Member
luarredo
Member
luctoro
Member
miamena@bancolombia.com.co
Member
MikeHV14
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