AIDLC
AI across the software testing lifecycle, from authoring to release.

Overview
AIDLC is Wayam's AI software-testing platform: intelligence across the development lifecycle so teams generate tests, execute them in CI, triage failures, and close coverage gaps without drowning in manual QA. It fits the tools engineers already use and keeps quality moving at release speed.
The problem
Software teams drown in manual test authoring, brittle suites, and late defect discovery while release pressure keeps rising.
The outcome
Faster, higher-coverage testing across the lifecycle: generate, run, triage, and ship with AI in the loop.
Modules

Test generation
Create and expand unit, API, and UI tests from requirements and code.

Execution & triage
Run suites in CI, cluster failures, and surface the defects that matter.

Coverage & quality
Track risk, coverage gaps, and release readiness across the lifecycle.
How it works
Connect the stack
Hook into repos, CI/CD, and existing test frameworks.
Generate and extend
AI authors and expands tests from requirements, diffs, and prior failures.
Execute and triage
Suites run in pipeline; failures are clustered and ranked for humans.
Gate the release
Coverage and risk views show what is safe to ship.
Integrations
Ideal for
- Product engineering teams shipping on a fixed cadence
- QA and SDET groups bottlenecked on manual authoring
- Platform teams standardizing test quality across squads
- Regulated products that need auditable release gates
- AI in software testing
- LifecycleAI in software testing
- execution & triage
- CI-nativeexecution & triage
FAQ
Is AIDLC only for UI testing?
No. It spans unit, API, and UI testing across the software lifecycle.
Does it replace our test frameworks?
No. It works with the frameworks and CI you already run, and adds AI where authoring and triage slow you down.
Where does it sit in the SDLC?
Across it: authoring, execution, failure triage, coverage, and release readiness.
How do we start?
A fixed-scope pilot targets one critical pipeline or suite and proves cycle-time and coverage gains.