Coverctl FAQs

Question 1

Can Coverctl be integrated into CI/CD pipelines for automated checks?

Accepted Answer

Absolutely. Coverctl is built for CI/CD. Commands like `coverctl check -o json` provide machine-readable output for automation, with exit codes indicating policy violations. Features like diff coverage, coverage trend analysis, and debt reporting are ideal for continuous integration workflows.

Question 2

How does Coverctl define and manage 'code domains'?

Accepted Answer

Coverctl automatically detects logical code domains (e.g., `cmd/`, `internal/application`) and allows interactive configuration via a Bubble Tea wizard (`coverctl init`). You can define custom domains with specific minimum coverage thresholds in a `.coverctl.yaml` file, and even set per-file minima.

Question 3

Does Coverctl support integration with AI agents?

Accepted Answer

Yes, Coverctl includes a Model Context Protocol (MCP) server. This enables AI agents like Claude to programmatically interact with your project's coverage data, allowing them to run checks, analyze reports, and provide insights or suggestions directly.

Question 4

What is Coverctl and what problem does it solve for Go projects?

Accepted Answer

Coverctl is a CLI tool that enforces declarative, domain-aware test coverage policies for Go projects. It solves the problem of generic, module-level coverage reporting by focusing on specific parts (domains) of your codebase, ensuring higher quality in critical areas.

Question 5

What kind of reports does Coverctl generate?

Accepted Answer

Coverctl generates human-readable text reports, machine-readable JSON reports (great for dashboards), and visual HTML reports. These reports include policy status, domain coverage, and can even show diff coverage or uncovered lines.

Coverctl

Coverctl

Key Features

Use Cases

Key Features

Use Cases