Developers don't trust AI to code autonomously. Learn why structured prompts work while "vibe coding" creates exponential ...

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 ...

Enterprise startup CodeRabbit today raised $60 million to solve a problem most enterprises don't realize they have yet. As AI coding agents generate code faster than humans can review it, ...

More than 150 techies packed the house at a Claude Code meetup event in Seattle on Thursday evening, eager to trade use cases ...

Developers have a growing array of options for AI-powered low-code and no-code development tools. But using them to their ...

Running a company alone in 2026 increasingly means orchestrating a stack of specialized AI systems rather than hiring staff.

AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

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.

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 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 ...

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 ...

Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...