USE CASE

Automated regression testing for your backend migration

Ripplo maps your application's user workflows, builds tests for them, and alerts you the moment the migration breaks one.

THE CHALLENGE

A successful backend migration depends on test coverage.

  • Backend migrations change behavior deep in your stack — on a server-rendered app, it surfaces straight in the HTML your users see.
  • The dangerous changes don't crash. Type coercions, encoding boundaries, and API behavior shifts — 5/2 → 2.5, str/bytes, dict ordering — often succeed silently but return subtly different results.
  • Haphazard manual or agentic testing won't plug this gap — the surface area is too large and the results too brittle to trust.
Example

Migration from Python 2 to Python 3

Unicode decode crash

A UnicodeDecodeError on accented input takes down the whole page render — one bad field kills everything.

WHAT RIPPLO DOES

Four things that matter during a migration.

Coverage
01

Coverage you can verify

We review browser events, network calls, DOM mutations, and server-side activity from your staging environment to ensure our tests cover all the moving parts of your application.

Coverage you can verify
Legibility
02

Tests are human legible

We link successes to a screen capture and an associated list of state checks. We link failures to the exact request, response, and UI state that changed.

Tests are human legible
Cutover
03

The same workflows run on both backends

Point the suite at the old backend and the new one. A workflow that passes on both proves the behavior carried over, and a failure shows exactly where they diverge.

The same workflows run on both backends
Full-stack
04

Ripplo tests full-stack

Our tests monitor both your app's state and your user interface for behavioral inconsistencies — catching the silent changes that don't crash but still break things. Replay-based tools test against saved responses from your old backend, so the new one is never in the loop. Ripplo drives the real app and checks what it actually wrote.

Ripplo tests full-stack

Why use Ripplo for your migration

Ripplo is purpose-built for backend migrations.

Your situationWhat Ripplo handles
Backend shifting under live workflows
Captures how workflows behave today, so you can confirm they still match after the migration
Need coverage to migrate safely
Builds the coverage for you — discovers your workflows, then writes the tests
Hard to tell real regressions from harmless noise
Every failure comes with a proof — a screen capture of the workflow and documented expected vs. actual behavior
No dedicated QA team catching silent regressions
Acts as your automated QA layer — breakages surface the moment they happen
HOW IT WORKS

Ripplo is agentic at build-time but deterministic at run-time.

STEP 1

Discover

Ripplo guides your agentic developer tools (e.g. Claude Code) to discover your application's existing workflows. We validate workflow coverage using static analysis and telemetry.

STEP 2

Generate

Ripplo generates a comprehensive set of frontend and backend tests for each workflow.

STEP 3

Verify

Ripplo tests run as your migration progresses. If a change alters how a workflow behaves, you're alerted with a screen capture of exactly what broke.

STEP 4

Iterate

Ripplo captures new workflows and modifies them as you develop. New tests are added to future regression monitoring.

SAFETY & PRIVACY

Built with your data policies in mind.

  • Staging only

    Ripplo tests the environment you point it at — typically staging. Production data is only in scope if you point it there.

  • Stores test information only

    Ripplo doesn't host your application. A review reads a copy of your code and deletes it when the review finishes. Recordings and screenshots come from your test environment only.

  • Retention

    Run recordings are stored in Amazon S3 and kept until you close your organization or ask us to delete your data.

  • Model handling

    Reviews run on large language models reached through OpenRouter. Organizations can point Ripplo at their own model endpoint instead. Details are on the security page.

  • Credential safeguards

    The data-exposure reviewer flags mishandled credentials observed during a run.