Know where to look.
Follow changed code through its dependencies to the screens, endpoints, and flows that may need verification.
Know what your code change touches. Focus on what needs checking. Move toward your next release with evidence.
OTP login calls the updated token validator. Check valid, invalid, and expired codes.
1 unresolved path · Dynamic permission loading needs review.
Guardian access failed after a successful login.
Still not verified · The unresolved permission path needs a separate check.
THE CHANGE BEHIND THE CHANGE
A shared function changes. Another screen depends on it. An API consumer sits a few calls away. The real impact rarely fits inside the ticket.
See the connections that reach beyond the feature you intended to change.
Give your team a reasoned starting point for what deserves attention.
Bring the change, the checks, and their evidence into one conversation.
ONE CONNECTED PLATFORM
Two connected capabilities, from the first code change to the evidence your team can act on.
Follow changed code through its dependencies to the screens, endpoints, and flows that may need verification.
Turn the impact plan into focused browser and API checks in an isolated environment, with results tied to the tested build.
Prepare the candidate build
Run the approved checks
Capture assertions & evidence
Report results & clean up
FROM CHANGE TO CLARITY
One shared thread connects what changed, why it matters, and what was actually checked.
Walk through the exampleCompare revisions and identify the functions, contracts, or configuration that changed.
Map dependencies to application areas. See the reason behind each recommendation and the gaps in the analysis.
Review the suggested scope, apply your business knowledge, and select the checks that matter.
Review what passed, what failed, and what remains unverified, with evidence from the tested version.
BUILT TO EARN YOUR TRUST
Recommendations should follow traceable code relationships. AI helps explain them in application language.
Keep the verification scope reviewable. Run approved checks in disposable environments with clear limits.
An unresolved dependency or an unrun check stays visible. An absence of findings is never proof of safety.
SHARED CONTEXT. BETTER DECISIONS.
A focused list of what deserves verification, with clear reasons.
A view of the dependencies that connect your change to the rest of the application.
A shared understanding of what was checked and what remains uncertain.
A FEW GOOD QUESTIONS
Graphentra is in development. The first release focuses on explainable change-impact analysis. Isolated browser and API verification is being built alongside it. The example on this page illustrates the intended experience.
The impact-analysis experience is designed to provide a useful verification scope even when you rely on manual QA. Automated execution will use supported existing tests and approved scenarios where available. Missing checks remain explicitly unverified.
No. It means there is a connection to changed code that may deserve attention. Tests and human review establish whether the observed behavior matches the expected behavior.
The initial focus is TypeScript and JavaScript applications, with framework support introduced in stages. Browser verification is planned around Playwright, alongside API checks and adapters for test runners such as pytest. Broader language support is part of the longer-term architecture.
The planned execution layer uses disposable test environments, scoped credentials, approved actions, and run limits. Test results will identify the build and environment used. Production systems are outside the initial execution scope.
GRAPHENTRA · IN DEVELOPMENT
From hidden dependencies to focused verification.
A clearer picture for your next release.