Use cases for teams that build and maintain software

Wherever engineers need to understand code they did not write, CodePilot AI shortens the path from question to confident change.

Developer onboarding

For engineering managers and new joiners

The challenge

New engineers spend weeks learning where things live, and senior engineers lose hours answering the same questions.

How CodePilot AI helps

CodePilot AI answers questions with links to real files, and generates an onboarding guide for each service.

Try asking

Where do I start if I need to change how invoices are generated?

Pull request review

For tech leads and reviewers

The challenge

Review queues grow, and subtle problems such as missing authorisation checks slip through a quick read of the diff.

How CodePilot AI helps

A first-pass review flags bugs, security concerns and performance issues with severity levels and suggested fixes.

Try asking

Review PR #482 for security and performance problems.

Legacy code and modernisation

For architects and platform teams

The challenge

Older systems have little documentation, and nobody is sure what a change will break.

How CodePilot AI helps

Dependency maps and impact analysis show what touches what, so refactoring plans start from facts.

Try asking

Which modules depend on the old payment gateway client?

Documentation debt

For engineering leads and technical writers

The challenge

Docs fall behind the code the moment they are written, and nobody owns updating them.

How CodePilot AI helps

READMEs, API references and architecture notes are generated from source and refreshed when the main branch changes.

Try asking

Generate an onboarding guide for the notifications service.

QA and test planning

For QA engineers and developers

The challenge

Teams know coverage is uneven but not where the biggest risks are or which cases to add first.

How CodePilot AI helps

CodePilot AI finds untested branches and proposes edge cases with test skeletons in your framework.

Try asking

Suggest edge-case tests for applyDiscount().

Project handover and technical due diligence

For delivery managers, CTOs and investors

The challenge

Handing a system to another team, or assessing one before an acquisition, means reading a great deal of unfamiliar code.

How CodePilot AI helps

Summaries of architecture, data flows and risk areas give reviewers a reliable starting point.

Try asking

Summarise how services communicate and where customer data is stored.

Have a different scenario in mind?

Tell us what your team struggles to understand, and we will build the demo around it.