TAMASH use casesBuilt for the people
and agents doing the work.
Connect development-stage validation, QA execution, and automation maintenance around your repository workflow.
For developers, QA teams, and AI coding agents.
Choose the journey
that fits your work.
Each role works with the same specifications, tests and evidence, with a different focus.
Carry quality through the development task.
An agent connects the implemented change to executable specifications, reusable tests and a planned regression cycle.
- 01
Develop & specify
Implement the feature and create executable specifications for its intended behavior.
- 02
Validate & automate
Validate functionality while creating reusable regression tests.
- 03
Plan, execute & inspect
Create cycles for changed functionality, run regression and inspect the results.
Your connected workflowSpecifications → validation → reusable tests → regression evidence
See whether the change does what it should.
Review the quality evidence for your feature, understand failures and revalidate the changes you make.
- 01
Review expectations
Check executable specifications and implementation coverage against the feature intent.
- 02
Inspect the outcome
Review validation results, likely defects and failure evidence.
- 03
Fix & revalidate
Address the change and rerun relevant checks and regression.
Your connected workflowFeature intent → implementation coverage → fixes → revalidation
Own regression, investigation and test health.
Use Repo Native QE to connect cases, automation, coverage and cycles, then oversee execution and maintenance.
- 01
Manage cases & cycles
Review specifications, map tests to functionality and plan regression for changes.
- 02
Execute & maintain
Run tests, review supported healing and verify maintenance outcomes.
- 03
Investigate & decide
Review defect, test and setup failure categories, trends and items needing human review.
Your connected workflowCases & coverage → cycles → execution → failure and healing review
A checkout change.
Development and QA stay connected.
The same expected behavior guides the developer, coding agent, and QA team.
A changed checkout form.
A developer or agent updates the checkout. QA’s expected result remains the same: the correct order total.
Use that expectation to validate the feature and create automation, then plan regression for the change.
Illustrative workflow. Available steps depend on your project setup and configured components.
- Create the executable specification
Define the checkout scenario and expected order total.
- Validate and automate in parallel
Check the changed form while building a reusable checkout test.
- Plan regression in Repo Native QE
Connect the change to coverage and include the test in a regression cycle.
- Execute, self heal and maintain
Recover supported locator failures and verify fixes. The expected total remains the business check.
- Analyze and review
Inspect failure causes, test health and healing outcomes, then address items needing attention.