Today, organizations such as Monday.com, Box, and others are using Qodo 2.0 to manage high-velocity AI-assisted development at scale. Qodo 2.0 is available today. Additional information on the benchmark methodology, evaluated tools, and results is available here.

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

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, researchers find.

A review of five non-Copilot AI coding assistants available in the Visual Studio Marketplace that support Visual Studio 2026 and exceed 100,000 installs.

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. Despite all that money, the startups may still end up going ...

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 plain language prompts, saving hours of manual effort.

AI coding assistants are rapidly becoming standard in software teams, promising faster delivery and fewer tedious tasks. Yet new internal research from Anthropic suggests that the same tools that boost output can quietly hollow out the very skills developers rely on.

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 have more bugs, more security risks and heavier ...