Systems | Development | Analytics | API | Testing

We’re entering a phase where AI can draft emails, resolve tickets, summarise complex information, and occasionally present fiction as fact with equal conviction. Generative AI has become incredibly powerful, but in enterprise environments, power without precision quickly becomes a risk rather than an advantage. This is exactly where the shift is happening.

Developers and Quality Assurance (QA) teams utilize many different API testing and validation tools to help them simplify the processes of testing, debugging, and validating APIs in the increasingly API-centric world of software development. Modern teams often combine End-to-End Testing with API-level testing to ensure full workflow reliability.

MLRun 1.10, the latest version of our open source AI orchestration framework, is available today to all users. Iguazio started out as a platform to operationalize enterprise machine learning projects. Though we’ve been through quite a few waves of AI in just a short time, the underlying challenges are the same: getting from experimentation to production remains a major blocker.

For a long time, we spoke about “AI agents” like they were a future concept, something that might eventually book flights, run workflows, or make payments on our behalf.

Modern development strategies rely on continuous integration and continuous delivery (CI/CD) to ship high quality software and updates. A well-designed CI/CD pipeline automates key parts of the software development lifecycle so teams can build, test, and deploy changes faster with fewer errors. To achieve this, development teams need the right CI/CD tools. Before you select your CI/CD solutions, you need to understand CI/CD pipelines and how they work.

In the agile development methodology, the velocity of testing holds the key to delivering the best quality software within the stipulated budget and time constraints. As such, this drives the need to automate the testing process with test orchestration. Most software development teams visualize test automation as a discreet step in the delivery lifecycle instead of viewing it as a designed sequence of steps.

Manual testing is still essential, but it’s often disconnected from automation. The new Manual to Automation capability in Katalon bridges that gap. It converts manual test runs into automated scripts instantly, linking them for unified coverage.