UI automation carries the load
Slow, flaky end-to-end suites catch bugs last and break on every UI change. QA time goes to maintenance, not quality.
everylayer · by extendfuture
Build at AI speed. Prove every layer.
AI writes the code now. Whether you can trust it is decided by your tests, and most test suites were losing even before AI made it worse.
everylayer is our agent-powered test pyramid platform. It scores test health across all seven layers of your frontend and backend repos, generates the missing tests as draft pull requests in your repo, and keeps every AI-written change proven before it ships: rapid iterations and scale, with proof.
The problem
AI slop is deferred debugging, with interest.
Generated code compiles, demos well and reads clean. None of that proves it handles the edge case, the concurrency, or the contract with the service next door. Unproven merges surface in staging and production, the two most expensive places to find them.
Coverage % lies
High line coverage says nothing about whether tests actually catch bugs. Green dashboards, escaping defects.
Frontend and backend break each other
Without contract tests, every schema change is an integration surprise waiting in a shared staging environment.
Manual cycles gate every release
Days of hand-run regression before every ship, and AI-speed development makes the validation backlog grow faster.
The model
Seven layers. One health score.
Every layer gets a 0 to 100 health score from open-source tooling, the shape of your suite is scored against the ideal pyramid, and delivery health (CI feedback time, flake rate, parallelism) is scored beside it.
E2E UICritical user journeys onlyjourney coverage
IntegrationReal services and databases togetherAPI coverage %
MutationDo tests catch injected bugs?mutation score %
Frontend contractConsumer expectations of the APIcontract coverage %
Backend contractProvider honours its API contractsendpoint coverage %
ComponentModules with dependencies mockedcomponent coverage %
UnitLogic in isolationline & branch coverage %
100% open-source toolchain: Jest and Vitest, JUnit, pytest, Pact, Specmatic, Stryker, PIT, Testcontainers, Playwright. Nothing proprietary ever lands in your codebase.
Coverage
Web, mobile, services, and the AI inside them.
If it has a repo and a way to assert behaviour, it fits the pyramid.
Web apps
React, Next and Vue frontends; Node, Spring and FastAPI backends. Launch adapters cover JS/TS, Java/Spring and Python, unit to E2E with Playwright on top.
Mobile apps
React Native, Flutter, Swift and Kotlin. The layers hold; only the tooling changes at the top (Maestro, Appium, Detox). Adapter next on the roadmap.
APIs & services
REST, GraphQL and gRPC, monolith or microservices. Contract and integration layers carry the load: Pact, Specmatic, Testcontainers, endpoint coverage %.
AI features & agents
LLM outputs scored with open-source eval suites (promptfoo, DeepEval, Ragas): golden datasets, prompt regression, contract tests for agent tool calls. Scored beside the pyramid, like delivery health.
How it works
One platform, three steps.
Health check
Connect read-only. Our agents classify every existing test into the seven layers and report coverage % and health per layer: a full gap report in days, not months.
Complete the gaps
Agents generate the missing tests bottom-up and land them as draft pull requests in your repo: mutation-validated, reviewed by your team, run by your CI.
Co-develop
On every pull request we check that new code ships the right tests at the right layer, so the pyramid stays green while you build at full speed.
Start small, prove value, stay embedded. Each step stands on its own.
The architecture
Agents in our cloud. Tests in your repo.
Everything flows through one auditable gate: a GitHub or GitLab App with scoped permissions. Our agents never live in your codebase, your code never leaves your control, and every test we write lands in your repo in frameworks you already know.
Stack-agnostic core. JS/TS, Java/Spring and Python adapters at launch; mobile and AI-eval adapters next. Adding a stack means adapters, not new agents.
Pairing inferred. Frontend to backend pairing is inferred from routes and specs, confirmed once at onboarding.
Read-only first. Step 1 needs read-only access; pull-request write comes only in step 2, and your review is the gate.
Walk away anytime. Every test we wrote stays in your repo. No proprietary runtime, no lock-in.
Quality enforcement
How we kill AI slop.
Assistants generate the code. Our agents generate the evidence, and gate the merge on it.
Mutation-validated tests
Every generated test has to kill injected bugs before we ship it. Coverage theater does not survive mutation testing.
Pyramid budget
A pull request that adds E2E tests for logic that belongs in a unit or contract test gets flagged before it merges. The shape cannot silently invert again.
Contract watchdog
A backend schema change that would break the frontend is flagged in the pull request, not discovered in staging.
Flake SLO
Generated tests must be deterministic, readable, and survive 30 days on main without flaking before a layer counts as green.
Why everylayer
Every tool picks a layer. We score the whole pyramid.
The 2026 landscape is crowded at single layers: AI unit-test generators, AI browser testing, contract platforms. None of them models the pyramid, none validates its own output with mutation testing, and none spans frontend and backend.
layerthe point tools, 2026everylayer
E2E UIMabl, Testim (Tricentis), Functionize, testRigor, QA Wolf, Momentic, many more
✓
IntegrationKeploy (traffic record and replay), Tusk, Postman Postbot
✓
MutationOpen-source frameworks only (Stryker, PIT, mutmut); no vendor sells this layer
✓
Frontend contractPactFlow AI (SmartBear), Specmatic
✓
Backend contractPactFlow AI (SmartBear), Specmatic
✓
ComponentMeticulous (session replay); nobody generates component tests in your repo
✓
UnitQodo, Diffblue (Java), Tusk, generic coding copilots
✓
Plus measure-only dashboards (Codecov, SonarQube): coverage numbers, no test generation, no shape score. The widest rivals span two layers.
Where it fits
Greenfield, brownfield, or your clients’ field.
Coverage from commit one
Stand the pyramid up before habits form: CI gates from day one, no manual validation cycle ever exists, and vibe-coding at full speed with the guardrails already on.
Untangle the inverted pyramid
Health check first, then gaps closed bottom-up in your repo. Manual regression shrinks from days to minutes, and legacy gets a safety net before you modernize it.
A new offer for every engagement
Open doors at existing clients with the fixed-fee gap report, win new test-automation work with outcome pricing, and deliver with our agents behind your team.
Working together
A low-risk path to a healthy pyramid.
Each phase earns the next. No long-term commitment upfront.
01 · Health check
Read-only access. Full gap report with per-layer scores and coverage %. Valuable on its own, even if we stop here.
02 · Gap completion
Outcome-priced: you pay for layers brought to green, verified by mutation scores and your own CI, delivered as draft pull requests your team reviews.
03 · Co-development
Pull-request checks, pyramid budget, contract watchdog, weekly health digests. Cancel anytime; every test stays in your repo.
Start with the health check.
Read-only access, nothing changes in your repo. A full gap report with coverage % in 2 to 3 weeks. Fixed fee, actionable whether or not we continue.