Exceeds

MARCH 2026

rte-france.com Engineering AI Productivity Report

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

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

The rte-france.com engineering team reports 36.2% AI adoption, 0.71× productivity lift, and 8.2% 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

LOW

36.2%

AI assistance is present in 36.2% of recent commits for rte-france.com.

AI Productivity Lift

LOW

0.71×

AI-enabled workflows deliver an estimated 0% lift in throughput.

AI Code Quality

LOW

8.2%

Review insights show 8.2% overall code health on AI-supported changes.

How is the rte-france.com team performing with AI?

The rte-france.com engineering team reports 36.2% AI adoption, translating into 0.71× productivity lift while sustaining 8.2% 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?

rte-france.com is at 36.2%. This is 7.5pp below the community median (43.7%)..

36.2%

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?

rte-france.com operates at 0.71×. This is 0.42× below the community median (1.13×)..

0.71×

↓0.42× below1.13× Community Median

Pilot AI-assisted grooming, ticket triage, or incident retros to create visible productivity wins.

How does AI affect code quality?

rte-france.com holds AI-assisted quality at 8.2%. This is 15.0pp below the community median (23.2%)..

8.2%

↓15.0pp below23.2% Community Median

Add structured AI code review rubrics and require human sign-off for critical surfaces.

How evenly is AI use distributed across our team?

AI usage is broad—top contributors represent 40.3% of AI commits.

40.3%

Keep rotating enablement leads and pair senior reviewers with new AI adopters to retain distribution.

How can I prove AI ROI to executives?

To prove ROI, rte-france.com needs steadier adoption, measurable lift, and consistent quality. The ingredients are forming but not yet executive-grade.

Start with a lighthouse project, measure cycle improvements end-to-end, and harden quality guardrails.

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:

RO

rockstarwizard.ninja

(1.00×)

.I

.ieselrincon.es

(1.00×)

DR

draad.nl

(-9.59×)

WG

wgu.edu

(-0.41×)

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%)

DR

draad.nl

(-82634.9%)

IN

inria.fr

(-2424.6%)

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.

IA

ianmnz

Commits3
AI Usage98.0%
Productivity Lift2.00x
Code Quality78.0%
FR

Florentine Rosiere

Commits57
AI Usage92.0%
Productivity Lift2.00x
Code Quality20.0%
FR

freddidierRTE

Commits315
AI Usage92.0%
Productivity Lift2.00x
Code Quality20.0%
RC

Roxane Chen

Commits11
AI Usage94.0%
Productivity Lift2.00x
Code Quality20.0%
EG

Erwan Guichard

Commits22
AI Usage92.0%
Productivity Lift2.00x
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

40

NathanDissoubray

powsybl/powsybl-diagram

powsybl/powsybl-core

olperr1

powsybl/powsybl-core

powsybl/powsybl-entsoe

+4 more

Lisrte

powsybl/pypowsybl

powsybl/powsybl-core

LoicBartelRTE

dynawo/dynawo

RoxaneChen02

powsybl/powsybl-open-rao

Philibert92

dynawo/dynawo

Activity

1,787 Commits

Your Network

53 People
AbdelHedhili
Member
alicecaron
Member
anis.smail_externe@rte-france.com
Member
antoinebhs
Member
amarant
Member
basseche
Member
ClementBouvierN
Member
clementleclercRTE
Member
cphili
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