Software Testing Magazine: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
Some engineering work is easy to describe precisely: Write a PDF parser or implement IMAP correctly. Write a compiler against a defined language spec. The work may still be hard, but the target is clear enough that a machine can keep trying, checking, and improving.
In the fast-paced world of modern software development, APIs serve as the backbone of distributed systems. They connect services, expose functionality and enable integration across organizational boundaries. However, ensuring the reliability of APIs throughout the software lifecycle presents a formidable challenge, especially as APIs and microservices undergo frequent changes that can break downstream consumers and test suites alike.
The rising trend of using SOA and then microservices as a software architecture has led to the creation of multiple tools for automated testing of the services API. This article presents a list of open source API testing tools.
In the rapidly evolving landscape of DevSecOps, the integration of Artificial Intelligence has moved far beyond simple code completion. We are entering the era of Agentic AI Automation where speech or a simple prompt performs actions.
The assumption is that AI will handle it all by automate testing, ensure reliability, and keep systems running smoothly. This article explains why it will not. And the consequences of this oversight are already beginning to show.
Anyone who has spent time working on cloud ETL pipelines knows that the biggest problems aren’t the ones that cause your jobs to fail, they’re the quiet ones that slip through unnoticed. AWS Glue is a powerful tool, but it doesn’t tell you when your data is subtly wrong.
Quality at speed is the real benchmark of modern software teams. A reliable QA process protects that speed without trading away user trust or stability. Even strong teams develop blind spots over time. Regression cycles stretch, automation coverage stalls, and production fixes start creeping into every sprint.
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