Exceeds

MARCH 2026

spreedly.com Engineering AI Productivity Report

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

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

The spreedly.com engineering team reports 70.7% AI adoption, 1.23× productivity lift, and 20.0% 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

70.7%

AI assistance is present in 70.7% of recent commits for spreedly.com.

AI Productivity Lift

MODERATE

1.23×

AI-enabled workflows deliver an estimated 23% lift in throughput.

AI Code Quality

LOW

20.0%

Review insights show 20.0% overall code health on AI-supported changes.

How is the spreedly.com team performing with AI?

The spreedly.com engineering team reports 70.7% AI adoption, translating into 1.23× productivity lift while sustaining 20.0% 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?

spreedly.com is at 70.7%. This is 27.0pp above the community median (43.7%)..

70.7%

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?

spreedly.com operates at 1.23×. This is 0.10× above the community median (1.13×)..

1.23×

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?

spreedly.com holds AI-assisted quality at 20.0%. This is 3.2pp below the community median (23.2%)..

20.0%

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?

AI impact is concentrated—83.6% of AI commits come from a few experts, raising enablement risk.

83.6%

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

How can I prove AI ROI to executives?

spreedly.com 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:

GZ

gzgz.dev

(20.0%)

GW

gwu.edu

(20.0%)

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.

JR

Joe Reiff

Commits5
AI Usage20.0%
Productivity Lift1.50x
Code Quality20.0%
AD

adarsh-spreedly

Commits11
AI Usage42.0%
Productivity Lift1.50x
Code Quality20.0%
AM

Alma Malambo

Commits28
AI Usage92.0%
Productivity Lift1.33x
Code Quality20.0%
ND

Nhon Dang

Commits25
AI Usage60.0%
Productivity Lift1.00x
Code Quality20.0%
MD

Mit Donga

Commits9
AI Usage52.0%
Productivity Lift1.00x
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

1

adarsh-spreedly

activemerchant/active_merchant

Unknown contributor

activemerchant/active_merchant

jcreiff

activemerchant/active_merchant

sumit-sharmas

activemerchant/active_merchant

aaqibrashidmir

activemerchant/active_merchant

yunnydang

activemerchant/active_merchant

Activity

54 Commits

Your Network

9 People
ankurspreedly
Member
amalambo@spreedly.com
Member
aaqibrashidmir
Member
adarsh-spreedly
Member
jcreiff
Member
mjdonga
Member
yunnydang
Member
ritesh-kapoor-spreedly
Member
sumit-sharmas
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