CLARITY BETWEEN CODE & RELEASE

A small change.
A bigger picture.
Now connected.

Know what your code change touches. Focus on what needs checking. Move toward your next release with evidence.

IN DEVELOPMENTChange intelligence first. Verification next.
Change workspace
PRODUCT CONCEPT
Update shared authenticationExample PR #482 · 1 changed function
OPEN
CHANGED FUNCTIONvalidateToken()
modified
WHY CHECK THIS?HIGH PRIORITY

OTP login calls the updated token validator. Check valid, invalid, and expired codes.

validateToken → verifyOtp → /login/otp

1 unresolved path · Dynamic permission loading needs review.

BUILT AROUND THE QUESTIONS THAT MATTER
What changed?What could be affected?What should we verify?

THE CHANGE BEHIND THE CHANGE

Your ticket tells one story.
Your code tells the rest.

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.

Hidden dependencies

See the connections that reach beyond the feature you intended to change.

Unfocused regression

Give your team a reasoned starting point for what deserves attention.

Unclear release decisions

Bring the change, the checks, and their evidence into one conversation.

ONE CONNECTED PLATFORM

Understand the impact.
Then verify the outcome.

Two connected capabilities, from the first code change to the evidence your team can act on.

01 / INTELLIGENCEFIRST RELEASE FOCUS

Know where to look.

Follow changed code through its dependencies to the screens, endpoints, and flows that may need verification.

RECOMMENDED ATTENTIONWHY IT MATTERS
OTP loginDirect change
Password loginShared authentication
Guardian accessSession dependency
Dynamic permissionsNeeds investigation
Prioritized scopeTraceable reasonsVisible unknowns
02 / VERIFICATIONBEING BUILT ALONGSIDE

Bring back the evidence.

Turn the impact plan into focused browser and API checks in an isolated environment, with results tied to the tested build.

Planned execution workflowISOLATED RUN
01

Prepare the candidate build

02

Run the approved checks

03

Capture assertions & evidence

04

Report results & clean up

Browser + APIReviewable resultsHuman control

FROM CHANGE TO CLARITY

A clear path
through the
“what if?”

One shared thread connects what changed, why it matters, and what was actually checked.

Walk through the example
  1. 01

    Start with a code change

    Compare revisions and identify the functions, contracts, or configuration that changed.

  2. 02

    Follow the meaningful connections

    Map dependencies to application areas. See the reason behind each recommendation and the gaps in the analysis.

  3. 03

    Choose what to verify

    Review the suggested scope, apply your business knowledge, and select the checks that matter.

  4. 04

    Make an informed release decision

    Review what passed, what failed, and what remains unverified, with evidence from the tested version.

BUILT TO EARN YOUR TRUST

Confidence needs
more than a green check.

Connections you can inspect

Recommendations should follow traceable code relationships. AI helps explain them in application language.

Control stays with your team

Keep the verification scope reviewable. Run approved checks in disposable environments with clear limits.

Unknown means unknown

An unresolved dependency or an unrun check stays visible. An absence of findings is never proof of safety.

SHARED CONTEXT. BETTER DECISIONS.

Built for everyone
behind the release.

QA & test engineers

A focused list of what deserves verification, with clear reasons.

Developers & tech leads

A view of the dependencies that connect your change to the rest of the application.

Product & release teams

A shared understanding of what was checked and what remains uncertain.

A FEW GOOD QUESTIONS

The details
that matter.

Is Graphentra available today?

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.

Do we need an existing test suite?

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.

Does an affected area mean a bug exists?

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.

Which technologies will be supported first?

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.

How will automated verification stay isolated?

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

Every change has a story.
See where it leads.

From hidden dependencies to focused verification.
A clearer picture for your next release.

Explore the product concept