For engineering and QA teams
Ask more of your tests.
Understand where testing agents help, how to challenge AI-generated code and what useful evidence looks like before you release.
Practical guide
Give a quality agent a clear testing job.
Understand agentic software testing: approved intent, coordinated test methods, reproducible findings and evidence for a human release decision.
Read the guidePractical guide
Check AI-generated code against your requirements.
Review AI-generated changes with approved expectations, multiple testing methods, mutation checks and inspectable execution evidence.
Read the guideTeam workflow
Bring testing evidence to your pull request.
Connect approved testing to GitHub pull requests. Review tested revisions, actual outcomes, findings and outstanding scope before deciding to merge.
Read the guideEvidence you can inspect
Explore the owned sample report.
Compare actual test outcomes across a fixed sample and two deliberate defects.
View sampleMethod reference
Choose the right testing method.
Seven approaches to testing software, each with a different practical use.
Explore methodsEvaluation checklist
Scope your first evaluation.
Review setup, execution boundaries, cancellation, export and questions to settle before purchase. Evaluation workspace access is arranged with the team.
Read the original product guideMeet your AI testing workhorse
Bring your toughest code.
Set your highest bar.
See how the AI testing team would challenge your next release. We’ll scope the methods, automation and evidence around your software.
Discuss an evaluation. No purchase commitment.