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Wayam AI
Software Testing

AIDLC

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

Software testing lifecycle visual with code, suites, and release gates

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

Abstract icon for the Test generation module of AIDLC

Test generation

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

Abstract icon for the Execution and triage module of AIDLC

Execution & triage

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

Abstract icon for the Coverage and quality module of AIDLC

Coverage & quality

Track risk, coverage gaps, and release readiness across the lifecycle.

How it works

01

Connect the stack

Hook into repos, CI/CD, and existing test frameworks.

02

Generate and extend

AI authors and expands tests from requirements, diffs, and prior failures.

03

Execute and triage

Suites run in pipeline; failures are clustered and ranked for humans.

04

Gate the release

Coverage and risk views show what is safe to ship.

Integrations

GitHub / GitLabJenkins / Azure DevOpsSelenium / PlaywrightJUnit / pytestJira

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.