Build confidence before every deployment.
Testing Center is CreateLixir's centralised environment for validating, debugging, and improving software before it ships. AI generates tests, explains failures, and proposes fixes — with the same project context every other CreateLixir surface reads from.
Continuous validation · AI-assisted diagnosis · Release-gate integration with Deployment Center
The quality hub for
AI-native software.
Testing Center is the centralised place where developers verify software quality before releasing it — one workspace for tests, debugging, coverage, and confidence.
Testing Center combines AI assistance, automated tests, debugging tools, and quality insights into a single unified experience. The AI reads your project through Project Brain, so the tests it generates, the failures it explains, and the fixes it proposes are all grounded in what your software actually is.
There is no separate testing tool to configure, no separate reporter to wire up, no separate CI to babysit. Testing Center is where quality lives — connected to Code Studio for authoring, to Deployment Center as the release gate, and to Monitoring Center for post-release signals.
Software quality doesn't happen by accident.
It's engineered, continuously.
These are the everyday challenges Testing Center is designed to solve — not by adding a testing tool alongside your workflow, but by making validation a first-class part of it.
Bugs reaching production
The bug that costs a dollar in development costs a thousand after it ships. Catching issues in the workspace, not in the wild, changes the economics.
Regressions after updates
A change that fixes one thing quietly breaks three others. Without continuous validation, the regressions surface hours or days later.
Manual testing overhead
Every release consumes hours of manual clicking. Automation returns those hours to work that actually differentiates the product.
Unexpected edge cases
The happy path passes; the edge case fails at 3 AM. AI-assisted test generation surfaces the cases you wouldn't have thought to write.
Performance issues
Slowness compounds silently across releases. Continuous benchmarks catch regressions before users notice them.
Quality that decays with scale
Test coverage that's fine for a small codebase struggles as the codebase grows. Testing Center's quality signals adapt to the shape of your project.
Every surface,
every layer.
Testing Center wasn't designed for a single testing shape. It was designed for the shape of real software — UI, API, database, integrations, AI, and everything in between.
User interfaces
Interactions, rendering, keyboard flows — verified before users see them.
APIs
Contracts, edge cases, and failure modes across every endpoint.
Backend services
Business logic, async workers, and cross-service coordination.
Authentication
Sign-in, sign-up, session, MFA — the surfaces attackers probe most.
Database operations
Migrations, queries, and transactional guarantees.
AI features
Model outputs, tool-calling, and prompt regression — first-class support.
Integrations
Third-party contracts and webhook flows validated end-to-end.
Forms
Validation, error states, submission, and accessibility.
Workflows
Multi-step business processes tested across their full arc.
Full applications
The whole system, tested as a system — not a collection of parts.
AI proposes.
Your quality bar decides.
AI in Testing Center is an engineering partner — it drafts tests, explains failures, and proposes fixes. Every suggestion is a preview you accept, revise, or ignore.
Generate test cases
AI reads the code + project context and drafts test cases you can accept, edit, or discard.
Suggest edge cases
The cases you wouldn't have thought to write — boundary values, unusual inputs, race conditions.
Detect potential issues
Static-analysis-plus — the AI flags likely defects across your codebase, not just where you tell it to look.
Analyse failures
Stack traces read against project context. Root causes surface faster; false leads get filtered out.
Recommend fixes
Not just what broke — a concrete proposal for how to fix it, ready to open in Code Studio.
Improve test coverage
The AI ranks which uncovered surfaces matter and drafts tests to close the gap first.
Explain failing tests
A plain-language explanation of what the assertion means, why it failed, and what to check.
Identify regressions
When something breaks that used to pass, the exact commit + AI diagnosis surface in the same view.
Every kind of test,
under one roof.
Testing Center supports the shapes of testing real software needs — from milliseconds-fast unit checks to full end-to-end validation of user flows.
Unit testing
Fast, focused checks on individual functions and components.
Integration testing
Verifying that two or more pieces cooperate the way you designed them to.
End-to-end testing
Full user flows exercised across the real stack, browser and server.
Performance testing
Benchmarks that catch slow regressions before users feel them.
Accessibility testing
WCAG checks, contrast audits, keyboard flow — validated automatically.
Security testing
Authorisation, injection, and common vulnerability patterns covered by default.
Regression testing
The suites that catch things that used to work and quietly stopped.
Visual testing
Screenshot diffs on the components you designed in Design Studio.
When something breaks,
the workspace helps you understand it.
A failing test is not the end of the workflow — it's the start of a well-supported one. Testing Center is designed for the moment things go wrong.
Understand failures
Plain-language explanations of what broke and why — grounded in project context.
Track issues
Every failure links to its diagnosis, its history, and the fix that finally landed.
Investigate errors
Traces, snapshots, and requests replay-able inside the workspace — no separate debugger to context-switch into.
Review logs
Structured logs cross-referenced against the tests that ran alongside them.
Validate fixes
Re-run the exact failure with the proposed change; confirm green before the change ships.
Improve stability
Quality trends over time — flaky tests, slowest suites, coverage gaps — surfaced as investable signals.
Testing that flows into
every part of the workflow.
Testing Center isn't a separate tool. It's a native surface on the CreateLixir intelligence layer — every product feeds into and reads back from the same quality signals.
Prompt Workspace
Prompts that request behaviour turn into tests that verify it.
Design Studio
Visual regressions on designed components caught before they reach production.
Code Studio
Failures link back to the exact line; fixes propagate through both surfaces without a handoff.
Project Brain
The test-drafting AI reads architecture and past decisions — tests reflect what the project actually is.
AI Architect
Architectural changes generate the tests that validate them alongside the code that implements them.
Deployment Center
Testing Center's verdicts are the release gate. Green means ready; red means held.
Monitoring Center
Runtime signals feed back into tests — regressions caught in production become tests that prevent recurrence.
The difference,
by numbers and by nights slept.
Practical benefits — fewer bugs in production, faster fixes, higher confidence on release day, quality trends that actually move.
Higher software quality
Continuous validation raises the floor of what ships to production.
Faster testing
AI-assisted authoring plus a focused runner cuts the time from bug to fix.
AI-assisted validation
Assertions, edge cases, and diagnoses that would otherwise take an engineer half a day.
Earlier bug detection
Catch defects in the workspace where they're cheap to fix, not in production where they aren't.
Better release confidence
A green suite you trust means a release you don't have to babysit.
Reduced regressions
Runtime signals feed back into tests, so the same thing doesn't break twice.
Continuous improvement
Quality trends over time, surfaced as investable signals — not just a pass/fail number.
Production-ready applications
Applications that behave as designed under real load, real users, real data.
Where Testing Center
is heading next.
Directions we are building toward. These are not shipping today — they are the trajectory that shapes every decision in Testing Center.
Autonomous test generation
Suites that grow with the project without an engineer authoring every case.
FutureIntelligent quality scoring
A single number that means what you think it does — grounded in real risk, not test count.
FutureContinuous AI validation
Every meaningful change re-validated in the background, quietly.
FutureSelf-healing tests
Tests that adapt to safe refactors without you rewriting every assertion.
FuturePredictive bug detection
The bugs likely to bite tomorrow, flagged today — from patterns in the code you're writing now.
FutureMulti-agent testing
Specialised agents coordinating on non-trivial validation — planning, running, and diagnosing together.
FuturePerformance benchmarking
Continuous benchmarks with regression alerts tuned to your service level goals.
FutureSmart release recommendations
"Ship" vs "hold" recommendations that reason about risk, not just green-vs-red.
Future
The questions people ask
before they trust a testing tool.
Adopting a new testing environment is a real decision. These are the questions engineers ask most often.
- Testing Center is CreateLixir's centralised environment for validating, debugging, and improving software before it ships. It combines AI-assisted test generation, automated testing, debugging tools, and quality insights inside one workspace that already understands your project.
Testing Center works with every part of CreateLixir.
Testing Center is the quality surface. These are the products it reads from, cooperates with, and hands off to.
Design Studio
Visual regressions on designed components caught before they reach production.
Code Studio
The IDE where failing tests link back to the exact line of code.
Project Brain
The memory the AI reads from when drafting tests and diagnoses.
AI Architect
Architectural changes generate the tests that validate them.
Deployment Center
Reads Testing Center's verdicts as the release gate.
Monitoring Center
Runtime signals from production feed back into tests.
Build reliable software.
Release with confidence.
Catch issues earlier, understand failures faster, and ship with a testing platform that knows your project as well as your team does — inside the same workspace you build in.