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Podcast Software Testing

300+ episodes episodes with testers, developers, and coaches. Sometimes technical, sometimes uncomfortable. One question runs through all of them: what do you actually need to know, now that machines handle the obvious?

The community partners of the podcast

  • A4Q: Alliance for Qualification
  • ASQF: Arbeitskreis Software-Qualität und Fortbildung
  • ATB: Austrian Testing Board
  • dpunkt
  • GI: Gesellschaft für Informatik
  • GTB: German Testing Board
  • GTD
  • Hanser
  • Heise Conference
  • Heise
  • iSQI: International Software Qualifications Institute
  • ISTQB: International Software Testing Qualifications Board
  • OOP Konferenz
  • QS-Tag
  • SkillsClub
  • STB: Swiss Testing Board
  • TaCon

Latest Episodes

Conversations with testers, developers, and coaches who work in the field.

DAST Testing with ZAP: Learn First, Then Attack
DAST Testing with ZAP: Learn First, Then Attack

DAST Testing with ZAP: Learn First, Then Attack

DAST testing with ZAP rides on existing regression tests: the proxy records the traffic, then attacks the app. DORA wants that run before each release.

Kubernetes Load Testing: Start with a Risk Question
Kubernetes Load Testing: Start with a Risk Question

Kubernetes Load Testing: Start with a Risk Question

CPU and RAM are rarely the bottleneck in Kubernetes load testing, caching or an external login more often. A test pays off once a decision follows.

Hardware-in-the-Loop Testing: Kernels on Real CPUs
Hardware-in-the-Loop Testing: Kernels on Real CPUs

Hardware-in-the-Loop Testing: Kernels on Real CPUs

A kernel has to run on every CPU generation, so hardware-in-the-loop testing puts it on real devices. Developers and CI reserve clean machines.

AI-Generated Code: Quality Assurance Must Keep Pace
AI-Generated Code: Quality Assurance Must Keep Pace

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.

LLM Testing: A Second Model Acts as the Judge
LLM Testing: A Second Model Acts as the Judge

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.

Resilience in Software Projects: Follow the Bug Trend
Resilience in Software Projects: Follow the Bug Trend

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.

QA Training for Autistic Adults: ISTQB in Four Weeks
QA Training for Autistic Adults: ISTQB in Four Weeks

QA Training for Autistic Adults: ISTQB in Four Weeks

QA training for autistic adults works with clear instructions, time boxes and a fixed contact. Repetitive regression tests play to autistic strengths.

Automatically Reviewing Documentation with AI Personas
Automatically Reviewing Documentation with AI Personas

Automatically Reviewing Documentation with AI Personas

Documentation testing with AI personas: a simulated junior developer burned 1.8 million tokens where a senior needed 300,000, exposing gaps in the docs.

What AI Really Does to Trust and Team Dynamics
What AI Really Does to Trust and Team Dynamics

What AI Really Does to Trust and Team Dynamics

Heavy AI use erodes trust in teams: colleagues seem infallible, and friction and social learning fade. Strong teams onboard AI like a new team member.