Not only are we less clear about who is developing software, but we are also less confident about our total inventory of ...

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.

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

SAN FRANCISCO--(BUSINESS WIRE)--CodeRabbit, the leading AI-powered code review platform, today released the “State of AI vs Human Code Generation”, a comprehensive new report analyzing the quality of ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

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 ...

An analysis of how developers use AI tools from Bito, the first company to use OpenAI and Anthropic models to help developers understand their code. Bito’s analysis shows that developers, regardless ...

AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can now generate well-structured code from ...

The recently published 2025 AI Code Generation Emotional Footprint report from Info-Tech Research Group highlights the top AI code generation solutions that help organizations streamline development ...

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 ...