Task 04 of 5

Prioritize the Right Regression Tests

Focus testing time on the tests most likely to catch a bad change.

How to approach this

Use AI and historical failure data to trim the regression list before every merge or release. The goal is faster signal, not blindly running everything every time.

AI tools for this task

These tools are well-suited for automating or accelerating this specific task.

Launchable

Uses past run and code-change data to pick the tests most worth running first.
mabl

Adds AI-native coverage for high-value browser flows so regression suites stay useful.
GitHub Copilot

Helps reviewers reason about changed areas and where fresh coverage is still needed.

Tutorials & articles

Curated external guides to help you get this working in practice.

01
How Launchable selects tests Launchable Docs
02
Code review GitHub Docs
Previous Triage Failed Runs and Flaky Tests Next Summarize Release Risk Before Ship