Exceeds

MARCH 2026

phoenix-rtos.com Engineering AI Productivity Report

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

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

The phoenix-rtos.com engineering team reports 85.5% AI adoption, 1.31× 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

85.5%

AI assistance is present in 85.5% of recent commits for phoenix-rtos.com.

AI Productivity Lift

MODERATE

1.31×

AI-enabled workflows deliver an estimated 31% lift in throughput.

AI Code Quality

LOW

20.0%

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

How is the phoenix-rtos.com team performing with AI?

The phoenix-rtos.com engineering team reports 85.5% AI adoption, translating into 1.31× 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?

phoenix-rtos.com is at 85.5%. This is 41.9pp above the community median (43.7%)..

85.5%

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?

phoenix-rtos.com operates at 1.31×. This is 0.18× above the community median (1.13×)..

1.31×

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?

phoenix-rtos.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?

55.1% of AI commits come from the most active contributors.

55.1%

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

How can I prove AI ROI to executives?

phoenix-rtos.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.

AG

Adam Greloch

Commits43
AI Usage70.8%
Productivity Lift1.90x
Code Quality20.0%
DL

Damian Loewnau

Commits18
AI Usage84.1%
Productivity Lift1.86x
Code Quality20.0%
AD

adamdebek

Commits63
AI Usage90.2%
Productivity Lift1.68x
Code Quality20.0%
WM

Władysław Młynik

Commits9
AI Usage39.9%
Productivity Lift1.61x
Code Quality20.0%
JM

Jacek Maksymowicz

Commits75
AI Usage90.7%
Productivity Lift1.48x
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

9

anglov

phoenix-rtos/plo

phoenix-rtos/phoenix-rtos-project

+5 more

KArkadiusz

phoenix-rtos/phoenix-rtos-tests

phoenix-rtos/phoenix-rtos-project

agkaminski

phoenix-rtos/phoenix-rtos-project

phoenix-rtos/phoenix-rtos-devices

+5 more

adamdebek

phoenix-rtos/phoenix-rtos-doc

phoenix-rtos/phoenix-rtos-tests

+3 more

damianloew

phoenix-rtos/phoenix-rtos-tests

phoenix-rtos/phoenix-rtos-doc

+1 more

kasiaannaw

phoenix-rtos/phoenix-rtos-project

phoenix-rtos/phoenix-rtos-ports

Activity

397 Commits

Your Network

29 People
adamdebek
Member
adamgreloch
Member
agkaminski
Member
anglov
Member
KArkadiusz
Member
damianloew
Member
maska989
Member
Darchiv
Member
dsabala
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