WYM-ACC-pariksha · Software Testing · formerly AIDLC
Pariksha
pariksha - examination, a trial that decides
AI across the software testing lifecycle, from authoring to release.
Pariksha is Wayam's AI software-testing accelerator: 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.
Lifecycle
AI in software testing
CI-native
execution & triage
Problem
Software teams drown in manual test authoring, brittle suites, and late defect discovery while release pressure keeps rising.
Outcome
Faster, higher-coverage testing across the lifecycle: generate, run, triage, and ship with AI in the loop.
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.
Bill of materials
This pack composes catalog agents. Same IDs as the rest of the catalog.
Pack Architecture & Agent Composition Graph
10 Composed Agents- AGT-0237
CI/CD Build Failure Diagnosis Agent
Software Engineering
- AGT-0250
Code Completion Agent
Software Engineering
- AGT-0251
Code Review Agent
Software Engineering
- AGT-0252
Test Generation Agent
Software Engineering
- AGT-0253
Bug Triage Agent
Software Engineering
- AGT-0254
API Documentation Generation Agent
Software Engineering
- AGT-0255
Architecture Decision Record Agent
Software Engineering
- AGT-0256
Migration Planning Agent
Software Engineering
Systems · ServiceNow ITSM · Datadog · PagerDuty · Kubernetes · GitHub · Cursor · Anthropic Claude Code
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.
Use cases
Autonomous End-to-End Regression Test Authoring for Core Banking Applications
A commercial retail bank updating its core banking web portal and mobile banking applications across bi-weekly release cycles.
Shift-Left API Logic & Business Rules Verification in Microservice Architecture
A fast-growing SaaS enterprise operating 40+ microservices communicating via REST and GraphQL APIs.
AI-Driven Visual Regression & Cross-Browser Testing for E- Commerce
A global fashion e-commerce brand operating web stores across 25 localized domains and 6 major browser engines.
Self-Healing Test Scripts & Flaky Test Elimination in Enterprise CI/CD
A logistics SaaS firm managing a large suite of 3,000+ UI automation test scripts running in continuous deployment pipelines.
Automated Synthetic Test Data Generation & PII Masking for Healthcare
A HealthTech platform processing electronic health records (EHR) and insurance claims under strict HIPAA privacy compliance.
Continuous Security & Vulnerability Fuzzing in DevOps Pipelines
A FinTech company building microservices for high-concurrency payment gateways and mobile wallet transactions.
Composable Architecture · Pairs well with
Accelerators that share systems of record, exchange real-time triggers, and compose with Pariksha.