Nagarro is looking to bring AI into the daily routine of developers.

For this, it has teamed up with Cursor.

The goal is pretty straightforward—help teams work a bit faster and more smoothly, without forcing them to change the tools they already rely on.

Nagarro has already started trying this out in a few live projects. Instead of keeping things limited to testing environments, the company is using Cursor in real client work to see what actually improves on the ground.

Over time, it plans to expand this approach across the full development cycle. That means using AI not just for coding, but also for understanding requirements, planning systems, fixing bugs, and maintaining quality.

At the same time, Nagarro is keeping things practical. It wants to track real results—where time is saved, where quality improves, and where AI genuinely helps instead of just adding noise.

The company believes this could lead to a noticeable jump in productivity, possibly around 20%. But the focus isn’t only on speed. It’s also about making sure the work stays consistent and reliable.

Cursor plays a supporting role here. It helps developers handle existing code more easily and takes care of repetitive tasks that usually slow teams down, especially in complex projects.

This move is also part of Nagarro’s broader thinking—bringing together AI, data, and engineering in a way that actually works in real situations, not just on paper.

Looking ahead, both companies plan to build on these early experiments. They’ll expand usage, fine-tune how everything works, and share real examples from projects.

For Nagarro, the approach is simple: use AI where it truly makes a difference. Whether it’s writing code, fixing issues, or improving quality, the aim is to make everyday work a little easier and more efficient.

Also Read: Cursor Delivers 99% Faster AI Code Search With Instant Grep