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11 articles
AI
AI accelerated code delivery, but the bigger change is in who’s building software, how much is being built and what it takes to trust it.
Showing 1–11 of 11
Best of 2025
Survey findings include respondents noted that AI tools are increasing the blast radius of the amount of bad code that needs to be debugged.
Blogs
Tricentis’s Bryan Cole discusses how AI-powered observability and continuous testing transform the relationship between development and operations teams.
AI
Survey findings include respondents noted that AI tools are increasing the blast radius of the amount of bad code that needs to be debugged.
Blogs
Managing dependencies isn’t just best practice, it is an essential ongoing process. Implement these strategies in your projects to stay ahead of potential issues and ensure your so…
Application Performance Management/Monitoring
By leveraging modern build health tools, DevOps teams can more effectively monitor a project’s overall quality and performance.
Application Performance Management/Monitoring
Breaking down code reviews into more manageable portions can yield great benefits including efficiency, security and accuracy.
AI
AI assistants are changing the way code gets made, and much of this is for the better. But what’s the impact on code quality?
Blogs
JPMorgan recently announced it was hiring 2,000 engineers, despite the gloom in global economic markets. Is this not an odd risk for an organization to take, given the demand for (…
Blogs
The DevOps goal to reduce lead times by accelerating software deliveries presents a serious challenge for assuring the quality of the software that is delivered. As I indicated In…
Features
The term DevOps implies that software delivery is all about integrating the development and IT operations teams. But the software testing team is an important, if oft-overlooked, p…
