AI + Playwright: Architecture & Scenarios
A 7-part technical series exploring autonomous QA agents, test planning heuristics, AST locator healing, and forensic log correlation. Rigorous engineering walkthroughs, not marketing hype.
Classification Notice: These articles are educational and experimental engineering studies. Each article is explicitly categorized as IMPLEMENTED, EXPERIMENTAL, or CONCEPTUAL to distinguish production-proven practices from research frontiers.
The AI Playwright Test Planner Agent: Transforming User Stories into Testable Invariants
How to use LLMs to extract state invariants, boundary conditions, and equivalence partitions before a single locator is written.
AI Playwright Test Generator Agent: Synthesizing Robust Page Objects & Resilient Locators
Generating reliable Playwright automation using accessibility locators, explicit network assertions, and zero arbitrary timeouts.
AI Playwright Test Healer Agent: Diagnosing DOM Drift & Self-Healing Selectors
How AST analysis and semantic visual diffing can heal broken Playwright locators without human intervention.
AI API + UI Test Strategy Agent: Balancing the Pyramid to Prevent UI Bloat
A multi-agent decision engine that pushes test coverage down to HTTP contracts and unit tests, keeping E2E suites lean.
AI Playwright Failure Investigation Agent: From Red Build to Root-Cause Diagnosis
Automating root-cause analysis by correlating Playwright traces, NestJS terminal logs, and PostgreSQL query state.
AI Regression Selection Agent: Intelligent Test Impact Analysis on Every Pull Request
Using Git diff AST analysis and dependency graphs to execute only the tests affected by a code change.
The End-to-End Autonomous QA Agent: Orchestrating Discovery, Execution, and Defect Triage
A unified multi-agent architecture where specialized agents collaborate to explore, validate, and document system health autonomously.