Explore before generating
Understand the application, repository, APIs, dependencies and existing automation before deciding what needs to be tested.
- Application exploration
- Repository understanding
- Existing-suite analysis
Give Shyena a testing goal and let agents explore, discover coverage gaps, engineer Playwright automation, execute, diagnose and produce release evidence.
Autonomous testing goes beyond generating test code. The system must understand the application, discover meaningful journeys, challenge coverage, execute tests, investigate failures and prove the result.
Understand the application, repository, APIs, dependencies and existing automation before deciding what needs to be tested.
Find critical user journeys, business rules, failure conditions and paths that existing regression automation does not cover.
Generate repository-native Playwright tests, fixtures and supporting automation from the testing intent rather than producing disconnected scripts.
Correlate browser evidence, APIs, logs and execution history, apply governed remediation and reconnect the final result to release evidence.
Autonomous AI testing uses agents to perform substantial parts of the testing workflow: understanding the target, discovering scenarios, engineering automation, executing, investigating failures and producing evidence.
AI test generation primarily creates scripts from an input. Autonomous testing extends the loop into exploration, coverage discovery, execution, diagnosis and proof.
Yes. Shyena's autonomous testing capability can engineer repository-native Playwright automation while keeping the team's existing engineering environment in place.
Bring one business journey and see how Shyena maps, tests, evaluates, secures and connects the evidence to release decisions.
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