On-Site Testing Conferences: Why Networking Needs Presence
Istanbul's software testing conference grew from a risky debut to an event linking testers of Europe and Asia, with translation in every track.
Podcast: Software Testing, AI and Quality Insights
Listen to expert conversations about software testing, test automation, AI in quality assurance, and modern development practices.
Mutation Coverage: Why Green Tests Can Still Be Worthless
Mutation coverage measures how many deliberately planted bugs your tests catch. It says more than code coverage, especially when AI agents write tests.
You Need a Test Automation Strategy Before AI
More test automation does not mean better quality. Why flaky AI tests, missing strategy, and the wrong roles quietly hollow out your test suite.
How to Build Rules and Skills So That Agents Can Remember
AI coding agents need fewer manual reviews once you work on the system itself: rules, hooks and retro skills make their corrections stick for good.
Agentic Systems in Testing: Why Humans Stay in the Loop
Agentic systems are not just agents working alone. Between 8 and 12 agents can cover testing end to end, but humans still judge what AI cannot.
AI-Generated Code: Quality Assurance Must Keep Pace
More AI-generated code means more defects, and only about 30% of AI review comments help. Static analysis, test selection and reviews must scale too.
AI in Software Testing Raises the Value of Expert Testers
AI in software testing leaves a faulty fraction: hallucinated requirements, invented test cases. Business knowledge keeps expert testers in demand.
ISTQB Boards in DACH: One Back Office for All Three
The ISTQB boards of Germany, Austria and Switzerland share one back office, which has kept their volunteer work running for up to 20 years.
Lean Management: Why Problem Analysis Beats Quick Fixes
Lean management starts with understanding a problem instead of rushing to a quick fix. That breaks the repeat cycle and exposes waste teams overlook.
Quality Sprint: How a Workshop Solves Quality Problems
A Quality Sprint tackles persistent quality issues in one workshop day with all stakeholders, ending in three to four next steps with clear owners.
Performance Monitoring: Set a 70% CPU Alert Before Failure
Performance monitoring catches slowdowns users abandon after five seconds. Alerts, AI log analysis and a small replica find the exact query at fault.
Branch Coverage: Full Coverage Still Lets Bugs Through
Even 100% branch coverage let an off-by-one bug slip through. Coverage is only as good as its assertions, and loops need several iterations.
End-to-End Test Automation Without the Maintenance Trap
End-to-end test automation stays maintainable with a dedicated HTML test attribute, a central mapper, a three-layer framework and one naming convention.
LLM Testing: A Second Model Acts as the Judge
LLM testing can be automated if you accept non-determinism: rubrics and acceptance ranges replace yes/no asserts, and a calibrated LLM judges outputs.
API Testing: Agent-Optimized Design Cuts Token Costs
API testing depends on the protocol: REST, GraphQL, webhooks or MCP. It runs more stably than browser testing, and agent-friendly APIs save tokens.
Resilience in Software Projects: Follow the Bug Trend
Resilience in software projects starts with accepting bugs rather than avoiding them. What bacteria and moths teach about trends and testing hypotheses.
LLMs in Software Testing: Start with Small, Bounded Tasks
LLMs in software testing pay off where language is the raw material: keyword docs, rule-based reviews, defect messages. Reasoning models review better.
Vibecoding and the Lack of System Understanding in Practice
Vibe coding risks grow where system understanding is missing. The future belongs to Pi-shaped developers who combine breadth with real depth.