Cursor claims Nvidia engineers produce three times more code with AI tools while productivity and fun go through the roof ...

The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...

The adoption rate of AI tools has skyrocketed in the programming world, enabling coders to generate vast amounts of code with simple text prompts. Earlier this year, Google found that 90 percent of ...

Large language models (LLMs) seemed to arrive in a flash. Monumental productivity gains were promised. Coding assistants flourished. Millions of multi-line code blocks were generated with a key press ...

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 ...

AI-generated computer code is rife with references to non-existent third-party libraries, creating a golden opportunity for supply-chain attacks that poison legitimate programs with malicious packages ...

[Editor’s Note: This guest post is by Marcelo Calbucci, a longtime Seattle tech and startup community leader.] This month, I ran a survey with early-stage founders from Seattle-based Foundations about ...