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These days, when a developer needs a CI/CD pipeline, they don’t always dive into GitHub Actions docs or spin up Jenkins from scratch. Instead, they pull up an AI assistant and type out something like:
“Create a deployment pipeline for a containerized application.”
Seconds later, the AI spits out a complete workflow. It looks polished. It builds, tests, packages,...
Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software engineering teams to create specifications for artificial intelligence (AI) agents that organizations plan to develop and deploy.
SmartBear this week extended its ability to apply artificial intelligence to application testing with the addition of a computer vision capability that can be used to detect objects in applications.
Prashant Mohan, vice pres...
The first wave of AI in observability is easy to misread.
The obvious use case is incident investigation: Ask a question, get a summary, identify a suspicious deployment, find the slow endpoint, maybe save an engineer a few minutes during an incident.
That’s useful, but it is not the real shift.
Agentic observability is not just a better...
Harness this week acquired Codecov, a provider of a platform that analyzes the percentage of a codebase that has been tested, from Sentry.
Brad Rydzewski, a senior vice president and general manager for Harness, said Codecov makes it simpler for DevO...