
How Poor API Architecture Makes AI Agents Expensive
REST, GraphQL, webhooks, MCP: knowing which API protocol sits behind your system shapes how you test, what you catch, and how many tokens you burn.
Listen to expert conversations about software testing, test automation, AI in quality assurance, and modern development practices.

REST, GraphQL, webhooks, MCP: knowing which API protocol sits behind your system shapes how you test, what you catch, and how many tokens you burn.

Avoiding bugs is the wrong strategy. What bacteria and moths teach us about trends, hypotheses, and robustness in software projects.

Small, focused AI functions in testing outperform big ambitions. Keyword docs, reviews, defect translation: what actually works and where LLMs still fall short.

The middle tier of developers is disappearing; those who remain need a broad understanding of the system and real depth, rather than just routine “vibe coding.”

Software isn't a bridge. It talks to other software, shifts unpredictably, and that's exactly why testing is about learning, not getting it right the first time.

Homogeneous teams build products that reflect only one perspective. What this means in practice and how stereotypes within a team can be broken down.

Software architecture rarely fails on the tech. Career frameworks, delivery pressure, and untouched monoliths shape your codebase more than any design pattern.

People with autism often really find their stride in manual regression testing—while others have long since grown impatient. Here’s how that works in practice.

A children's book explains software testing through dragons and knights, and a 12-year-old at a book fair said she wants it as her profession.

AI Personas as Documentation Testers: What a Simulated Junior Developer with 1.8 Million Tokens Reveals About Where Documentation Really Falls Short.

TMMI shows companies exactly where their test processes stand and what the next step looks like, from basic planning to preventing defects before they exist.

Software architecture can go stale while you are still writing it down, not only after years. Which decisions must be fixed and which stay open.

Students who used ChatGPT lost 47% of their cognitive capacity. What that means for how we work, hire, and build software teams in the AI age.

Positive leadership has nothing to do with a “pony farm.” The PERMA model shows how leadership works based on five specific factors.

Agile meant something once. Now it means almost nothing, and that loss created a real opening for organizational development that actually fits.

AI makes team communication more objective, and that is not the same as progress. What trust and empathy lose, and how teams push back.

Cutting QA teams doesn't eliminate bugs, it just makes users find them first. Here's why communication and critical thinking still matter most.

German companies want AI and robotics, but their processes are blocking any progress. Why no business case makes sense as long as data silos remain.