Autonomous Branch Validation
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Does Your Branch Actually Do What The Specification Says?
Your code is ready. Getting the first round of validation shouldn’t depend on someone else’s availability.
testRigor’s Autonomous Branch Validation uses AI to validate your deployed code against the specification and deliver feedback directly on your pull request. Connect your repositories and specifications, set up automatic branch validation, and get an additional check without waiting for QA or a product manager to perform the first manual pass.
The code stays deployed, so your team can still review and validate the branch themselves. Less waiting for basic feedback. More support for the people responsible for quality.
Don’t Let Basic Validation Become A Bottleneck
The workflow is familiar: a product manager writes a specification, an engineer implements it, and the code gets deployed somewhere for review.
Then comes the handoff.
Someone from QA or product needs to open the application, read the specification, and check whether the implementation does what was requested. That manual check takes time, can miss things, and makes the engineer dependent on another person’s availability – even for basic validation.
Autonomous Branch Validation helps break that dependency. Instead of making a manual review the only way to get initial feedback, it adds AI-driven validation against the specification.
Your team remains involved. They just don’t have to be the first checkpoint for every basic check.
How Autonomous Branch Validation Works
Connects Your Code And Specifications
Connect GitHub, GitLab, or Bitbucket with Jira or Confluence and set up automatic branch validation.
This brings together the two things the validation needs: the implementation and the specification describing what it should do.
Deploys The Branch Locally
testRigor deploys your code locally as part of the validation process.
The focus is the implemented behavior – not just what the specification says should happen.
Validates The Implementation Against The Specification
AI reads the specification and validates whether the deployed code works as described.
The question is straightforward: Does this branch deliver the behavior the specification calls for?
Get Feedback Directly On The Pull Request
Validation feedback goes directly on the PR, giving the engineer another source of feedback without requiring a separate manual validation handoff.
Keep The Deployed Code Available For Human Review
The code stays deployed after validation. QA and product managers can review the branch and perform their own validation, alongside the AI feedback.
Automatic validation and human review can be part of the same workflow – not competing alternatives.
Give Engineers Feedback Without Adding Work To Someone Else’s Queue
When you finish implementing a feature, you need to know whether it behaves as intended.
Autonomous Branch Validation gives you a way to get that basic feedback without first asking a busy teammate to validate the branch manually. The specification provides the reference, AI performs the validation, and the feedback appears directly on the PR.
It’s an additional check on your implementation – and one less dependency for getting initial feedback.
Support QA And Product Managers Without Taking Them Out Of The Process
Automation should make collaboration easier, not make the implementation harder to review.
For QA, Autonomous Branch Validation adds another check against the specification while leaving the deployed code available for manual validation.
For product managers, it keeps the written specification central to the process. The AI validates the implementation against it, and the product manager can still review the running branch themselves.
The goal isn’t to remove people from validation. It’s to reduce the waiting around basic checks and give the team an extra pair of eyes.
Make The Specification Part Of Branch Validation
Writing a specification is only part of the job. The implementation still needs to match it.
Autonomous Branch Validation connects those two sides of delivery: what the team asked for and what the engineer built.
Rather than leaving that comparison entirely to a manual handoff, testRigor uses AI to validate the deployed implementation against the specification and return feedback where the code is being reviewed.
From specification to deployed behavior to PR feedback – in one validation workflow.
Frequently Asked Questions
What Is Autonomous Branch Validation?
Autonomous Branch Validation is a testRigor feature that uses AI to validate a code branch against its specification. It deploys the code locally, reads the specification, checks the implemented behavior, and provides feedback directly on the pull request.
Which Repositories And Specification Tools Can I Connect?
Autonomous Branch Validation supports connections to GitHub, GitLab, and Bitbucket for code, along with Jira and Confluence for specifications.
What Does The AI Validate?
The AI validates whether the deployed code works according to the specification. The focus is on whether the implementation matches the described behavior.
Where Do Engineers Receive Validation Feedback?
Feedback is provided directly on the pull request, so engineers can review it alongside the branch’s code-review discussion.
Can QA And Product Managers Still Review The Branch?
Yes. The code stays deployed so QA and product managers can access the running implementation and perform their own validation.
Does Autonomous Validation Replace Manual QA?
The feature is positioned as an additional validation step: it helps engineers get basic feedback without waiting for manual validation and provides another pair of eyes. QA and product managers remain part of the process, with the deployed code available for their review.
Your Branch Is Ready. Get Validation Moving.
Connect your repositories and specifications. Get AI validation feedback directly on your pull requests. Keep the deployed code available for the people who need to review it.
Thank you for your request. Please select date and time for a demo.
