Consistency at team scale

Copilot is often switched on and left to each engineer. The result is uneven: some get great tests, others get suggestions that ignore the framework. The difference is configuration and habits, not the tool.

We make Copilot's behaviour part of the repository: instructions it reads on every request, prompt files for common test tasks, and a coding-agent workflow for well-scoped issues, all reviewed like any other change.

What we set up

Custom instructions

A copilot-instructions file covering structure, naming, waits and data.

Prompt files

Reusable prompts for writing, fixing and reviewing tests.

Coding agent workflow

Issue templates and environments so Copilot can run your tests.

Review settings

Copilot code review on pull requests, focused on test quality.

Actions integration

CI that runs agent-written tests and reports clearly on failure.

Usage guidelines

What to use Copilot for, what not to, and how to review its output.

How we keep it reliable

Good first use cases

Where it fits

Copilot-assisted testing builds on your existing GitHub workflow and QA automation framework. We configure it, train the team and measure the effect on coverage and review time. See our QA automation, API testing and performance testing services.