Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is ...

AI isn’t just cranking out code anymore. It’s starting to think, solve problems and work like a real teammate in development. When Anthropic announced its Claude 4 models, the marketing focused ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts its inputs. This creates a flywheel effect, with each phase building on the ...

Today, organizations such as Monday.com, Box, and others are using Qodo 2.0 to manage high-velocity AI-assisted development at scale. Qodo 2.0 is available today. Additional information on the ...

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them. AI is dramatically ...

AppWizzy is expanding its platform beyond code generation to include AI-operated virtual machine infrastructure.

CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code Review of AI-coauthored PRs and human-only PRs finds AI-Generated PRs ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...