Anthropic launched Code Review in Claude Code, a multi-agent system that automatically analyzes AI-generated code, flags logic errors, and helps enterprise developers manage the growing volume of code ...

Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...

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 ...

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

But did Oracle convince investors? Reading time 3 minutes In a third-quarter earnings report on Tuesday, tech giant Oracle announced quarterly revenue growth above expectations and an increased sales ...

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 ...

Anthropic launches Claude Code Review tool to analyse AI-generated code, detect bugs and errors, and help developers review pull requests faster.

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 ...

AI-based coding tools won't be able to compete with the LLM giants. Observability is one possible way to differentiate the tools. Some startups will get acquired, others will go out of business.

Have you ever found yourself wrestling with AI-generated code that just doesn’t quite hit the mark? Maybe it’s close, but not precise enough to meet your project ...