Testing and quality assurance for start-ups
Quality in start-ups is not created by processes, but by attitude. Why testers need to be louder than developers.
Conversations with testers, developers, and coaches who work in the field.
Quality in start-ups is not created by processes, but by attitude. Why testers need to be louder than developers.
Specialist departments hardly ever test because there is a lack of test knowledge. How an AI assistant called Sherlock is changing this and delivering test cases according to ISO standards.
Two years of exploratory ensemble testing in a real project: What the method brings, where it gets stuck and why testing is suddenly fun.
Error culture sounds good on the vision board, but collapses at the first real bug. What really helps before the stress comes.
200 possible system states, a virtual control unit instead of a physical test cabinet: how thermal management tests in electric cars are becoming earlier and more precise.
176 episodes, 122,000 downloads, flaky tests, AI fears and a microphone faux pas: what the year really left behind.
AI doesn't make bad processes better, it catches up with them faster. What testers really need in 2026: Gut feeling, basic knowledge and community.
Autism in software testing: Why an autistic brain finds bugs instead of looking for them, and what teams can learn from it.
Let API interfaces continue to break silently or recognize them early? Contract testing shows how consumers specify what they need and changes stop the pipeline.
From two weeks of manual testing to three hours: how an AI-based solution automates legacy apps without element IDs.
Errors usually occur long before anyone tests. Quality Storming makes visible where quality is lost in the process - before it's too late.
164 subsystems, lightning protection according to national law, offshore turbines without service access: testing software in wind turbines is more complex than it seems.
AI systems have bias, but the real problem is that people adopt it without realizing it. What this means for the use of AI in companies.
Two missing sentences in a contract can drive a company into bankruptcy. Why agile software contracts often end up as contracts for work, and what protects freelancers.
Measuring embedded code coverage without instrumentation: Why hardware tracing in system testing solves the observability that unit testing alone can't deliver.
From unit tests to exploratory testing: which Java tools really count, how Maven controls the test procedure and why sustainability is often underestimated in testing.
Teaching testing in university before real projects put pressure on you: Why architecture trumps testability and ChatGPT disguises it.
Vague requirements are the most expensive problem in testing. How AI really helps when determining, formulating and checking requirements.