500 PRs a week. No time for tickets or acceptance criteria. The Test Architect MCP scans your codebase, generates Playwright tests automatically, runs them, and sends results to QA Hub. The source of truth is the code itself. 500 PRs semanales. Sin tiempo para tickets. El MCP Test Architect escanea tu código, genera pruebas Playwright automáticamente, las ejecuta y envía los resultados a QA Hub. El código es la fuente de la verdad.
flowchart TD
subgraph Your Infrastructure
A[(Codebase)]
end
B{Test Architect MCP}
C((Playwright Tests))
subgraph QA Hub Platform
D[Dashboard & Analytics]
end
A -->|1. Scans Context| B
B -->|2. Generates & Executes| C
C -->|3. CLI Posts Results| D
style B fill:#ff5f56,stroke:#fff,stroke-width:2px,color:#fff
style C fill:#1e1e2e,stroke:#ff5f56,stroke-width:2px,color:#fff,stroke-dasharray: 5 5
style D fill:#8b5cf6,stroke:#fff,stroke-width:2px,color:#fff
Connect Jira, Linear, or Azure DevOps. QA Hub's Engine analyzes the acceptance criteria and generates ISTQB-standard BDD test cases. Your central test library stays perfectly in sync as your tickets evolve. Conecta Jira, Linear o Azure DevOps. El motor de QA Hub analiza los criterios de aceptación y genera pruebas BDD bajo estándar ISTQB. Tu librería central se mantiene sincronizada mientras los tickets evolucionan.
flowchart TD
A[Jira / Linear / ADO] -->|1. Webhook / API Sync| B{QA Hub AI Engine}
subgraph QA Hub Processing
B -->|2. Analyzes Criteria| C[ISTQB Rules Engine]
C -->|3. Generates BDD| D((Draft Test Scenarios))
end
D -->|4. Saves to| E[(Central Test Case Library)]
style B fill:#4d8bff,stroke:#fff,stroke-width:2px,color:#fff
style C fill:#1e1e2e,stroke:#4d8bff,stroke-width:2px,color:#fff
style E fill:#8b5cf6,stroke:#fff,stroke-width:2px,color:#fff
One CLI command uploads results from Playwright, Cypress, or Jest. When a failed test is linked to a bug, and the developer marks it "Done" in Linear, QA Hub automatically queues it for a retest. Sube resultados con la CLI de Playwright, Cypress o Jest. Si un test fallido tiene un bug, y el developer lo marca "Hecho" en Linear, QA Hub lo encola automáticamente para re-testeo.
flowchart TD
A((Failed Test Result)) -->|1. QA Links Bug| B[Linear / Jira Ticket]
B -->|2. Dev Fixes & Marks 'Done'| C{Webhook Trigger}
C -->|3. Status = Done| D[QA Hub Retest Queue]
D -->|4. Auto-execute Test| E((Playwright / Cypress))
E -->|5. Uploads New Result| A
style A fill:#ff5f56,stroke:#fff,stroke-width:2px,color:#fff
style D fill:#8b5cf6,stroke:#fff,stroke-width:2px,color:#fff
style B fill:#1e1e2e,stroke:#fff,stroke-width:1px,color:#fff
style C fill:#4d8bff,stroke:#fff,stroke-width:2px,color:#fff
QA Scout is an AI agent embedded directly in QA Hub. It has access to your real test cases, run results, and metrics. Ask it anything within QA scope and it calls the right tool, fetches the data, and responds. No off-topic. No hallucinations. Scope-bounded by design.