Blog
Quality engineering insights from the field — strategy, automation, AI and teaching
Vibe Testing: The New AI Testing Paradigm
How artificial intelligence is transforming quality assurance workflows, from test generation to intelligent defect prediction.
Playwright vs Cypress in 2026: A Practical Comparison
After years using both tools in production, here is an honest comparison based on real projects, not marketing claims.
Shift-Left Testing: Moving Quality Earlier in the Pipeline
How embedding testing earlier in the development lifecycle reduces costs, catches defects sooner, and transforms QA from a bottleneck into an enabler.
E2E Testing Best Practices with Playwright in 2026
Battle-tested patterns for writing maintainable, reliable end-to-end tests with Playwright — from project structure to CI integration.
AI-Powered Test Maintenance: Reducing Automation Debt
How AI assistants can dramatically reduce the cost of maintaining automated test suites by detecting, classifying, and fixing broken tests.
Risk-Based Testing: Prioritizing What Matters Most
A practical guide to risk-based testing strategies that help QA teams focus effort where it delivers the most value, aligned with ISTQB principles.
API Testing Patterns for Microservices Architecture
Practical patterns for testing APIs in microservices architectures — from contract testing to integration strategies that scale.
Teaching QA in Universities: Bridging Theory and Practice
Reflections on teaching software quality assurance at UPC — how to make QA education relevant in an industry that evolves faster than curricula.
CI/CD Pipeline Testing: A Complete Integration Guide
How to design testing stages in your CI/CD pipeline that balance speed with confidence — from pre-commit hooks to production canaries.
Quality Gates: When to Ship and When to Stop
How to define objective quality gates that give teams confidence to ship — or clear signals to stop — without relying on gut feeling.
The State of Test Automation in 2026
An analysis of where test automation stands in 2026 — trends, tool adoption, AI integration, and what the data tells us about the future of QA.
From Manual to AI-Assisted: A QA Transformation Roadmap
A step-by-step roadmap for QA teams transitioning from manual testing to AI-assisted automation — practical stages, common pitfalls, and success metrics.