Industries / Engineering
Make AI useful for your engineering team.
AI coding tools are easy to adopt. Knowing whether they improve delivery without adding defects takes more work. We help your engineers set clear rules, test quality and measure the effect.
Your account executive is your dedicated point of contact throughout the project.
The challenge
When more AI creates more work.
The tools are everywhere. The value is uneven, and the risk is quietly compounding.
01 / Usage is growing. Confidence varies.
In Stack Overflow’s 2025 survey, 84% of respondents used or planned to use AI tools. But 46% distrusted their accuracy and 33% trusted it. These are survey responses, not a test of your team’s tools.
02 / Generated code still needs review
CodeRabbit’s December 2025 study of 470 open-source code changes found about 1.7 times as many issues in changes identified as AI-assisted. AI use was inferred from contribution signals, so the study does not establish the result for every team.
03 / Repeated code can add maintenance work
GitClear’s 2025 research reports increasing code duplication and less code being moved or reorganized. These observational trends make maintainability worth checking alongside delivery speed; they do not prove that AI caused every change.
04 / Quality checks need to keep up
Track whether the tools improve the completed work. Review effort, defects and support needs matter alongside how often people use AI.
How we help
Better tools, clearer standards.
Give developers useful help while keeping quality, security and ownership visible.
A rollout your team can trust
Set clear rules for which tools people can use, what information they can access and how the work is reviewed.
Quality checks for AI-written code
Check AI-written code for repeated work, maintainability and quality before it becomes part of the product.
Answers grounded in your code
Give AI tools access to the documentation and conventions your developers already rely on.
Measure quality as well as speed
Measure delivery speed alongside defects and support work to see whether the tools are helping.
Evaluation plan
Measure the whole development task.
Choose representative tasks and record the time to complete and review them. Compare defects, rework and developer feedback before extending AI use. Agree on an acceptable quality level with your engineers first.
Independent research
METR’s February 2026 update explains why its newer productivity experiment could not reliably estimate the current effect of AI tools. Its earlier 2025 trial measured a slowdown in a specific setting. We use that uncertainty as a reason to test your workflow directly.
Facing a similar challenge? Tell us what is happening. We will help you find the right next step.
Talk to usCommon questions
Questions engineering teams ask.
We already use AI coding tools.
That is a good starting point. We help you find out whether the tools improve delivery and whether quality changes at the same time.
Will this slow our developers down?
Our goal is to make the tools more dependable. We agree on practical rules with your developers and add checks where they protect quality without adding needless steps.
Can you help us put the policy into practice?
Yes. We turn the policy into tool settings, review checks and measures your team can use every day.
Who we work with
Is this the right fit?
A good fit
Engineering leaders who want AI tools to help developers move faster without increasing defects or maintenance work.
A different starting point
If you only need a record of tool usage, your existing admin tools may be enough. We help when you also need to understand quality and impact.
Explore our services
A clear next step for your project.
Find a practical starting point for AI, build a workflow with your team, or strengthen your applications and AI systems.
Let's talk
A real person, from day one.
Tell us what you want to achieve. Your account executive will be your dedicated point of contact, helping you choose the right next step and keeping the work connected to your team. See how we work together.
- Your contact
- An account executive who knows your goals and stays involved throughout the engagement.
- Your team
- The people who use and run the solution help shape it from the start.
- Your outcome
- A clear recommendation and work your team can understand, own and build on.
Or email hello@aicoop.co with one question.