Generative artificial intelligence code revenue startup CodeRabbit Inc. has set its sights on becoming an essential part of every developer’s toolkit after closing on $16 million in early-stage ...

What if you could write, debug, and deploy software at a speed that feels almost superhuman? Imagine a world where the most tedious parts of coding, endless debugging, manual code reviews, or ...

Anthropic launched automated security review capabilities for its Claude Code platform on Wednesday, introducing tools that can scan code for vulnerabilities and suggest fixes as artificial ...

CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and suggest improvements, or even generate those improvements in a new branch. Code ...

Anthropic on Monday released Code Review, a multi-agent code review system built into Claude Code that dispatches teams of AI agents to scrutinize every pull request for bugs that human reviewers ...

Anthropic launches AI agents to review developer pull requests. Internal tests tripled meaningful code review feedback. Automated reviews may catch critical bugs humans miss. Anthropic today announced ...

When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...

For anyone building software, generative AI (Gen AI) -- especially a tool like GitHub Copilot-- is a means to quickly create, test, document, and debug code, which leads to big productivity benefits.

Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud.

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

There’s an old saw in management: What you measure matters. And, typically, you get more of whatever you’re measuring. Software engineers have debated productivity metrics for decades, starting with ...