Praktyczne artykuły o strategii QA, automatyzacji testów, testowaniu AI i budowaniu jakości w zespołach produktu.
Testing Non-Deterministic AI Agents: Strategies That Actually Work in Production Here’s the objection every AI engineering team eventually raises when the topic of LLM agent…
Testing Tool Calls and MCP Server Integrations in Agentic Workflows Tool use is the mechanism that makes agents useful. Without reliable tool calls, an agent…
AI Agent Failure Modes: A Testing Taxonomy for Engineering Teams When your product is powered by a single LLM call, failure is relatively straightforward to…
Production Monitoring as a QA Strategy: 8 Metrics Every Engineering Leader Must Track Production monitoring is often treated as an operational discipline — the domain…
Incident Postmortems That Actually Work: A Practical Framework for Engineering Leaders Most engineering teams run postmortems wrong. They write up the timeline, identify the proximate…
The True Cost of Bugs in Production: Why Post-Release Defects Are Destroying Your Engineering ROI Every engineering leader knows bugs are expensive. But most underestimate…
QA debt is the invisible liability that compounds quietly — until production makes it visible. Learn how to recognise it, measure it, and stop it from growing.
Why do bugs keep reaching production in SaaS? This article breaks down the 7 structural root causes — and what engineering leaders can do to fix them.
How is artificial intelligence changing QA? Discover what AI truly enables in software testing — and where human expertise still makes all the difference.
Payment Gateway Testing: How to Prevent a Disaster What Exactly Is a Payment Gateway? A payment gateway functions as the digital nerve center of modern…