
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.

Learn from global testing leaders and innovators.

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.

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

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.

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

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.

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.

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.

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

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

AI in a regulated medical lab sounds like a compliance nightmare. Here is how a strategy-first approach made it work without breaking the rules.

COBOL developers found writing unit tests in Java easier than in their own language. The interface architecture made it work on a mainframe.

Testing a chatbot breaks every rule traditional testing relies on: same input, wildly different outputs, and bugs that live outside the code.

AI won't replace testers, but it will shift what they do. Where it saves real effort, where it still needs human control, and why starting now matters.

Building a QA culture takes more than good tools, it starts with listening carefully. Stakeholder views of quality become a shared roadmap.

Testers who can't explain what their work costs, or saves, are easy to cut. Here's how business thinking changes that.

Trusting an AI agent works the same way as trusting a colleague: you need clear communication, checks, and a system that catches what the model gets wrong.

Flaky tests don't just slow down CI, they erode trust until engineers stop believing the build. Here's how to fix that.

From analog eavesdropping to overlay attacks on banking apps, mobile security has never stopped failing users in new ways.