Citing issues with logic, correctness, and security, a new report recommends specific guardrails for AI-generated code.

As inefficient code increases enterprises’ expenditure, vendors are looking at different ways to optimize code — from shrinking model sizes to shifting from basic code generation to full-fledged code ...

ClickUp is the world's first Converged AI Workspace, bringing together all work apps, data, and workflows. ClickUp eliminates all forms of work sprawl to provide 100% context and a single place for ...

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 AI-generated code in real-world ...

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 ...

Replit unveiled Agent 3 on Wednesday. Code-generation is one of the few viable business use cases for AI. However, Replit recently deleted a company's entire database. AI startup Replit released Agent ...

CodeRabbit analyzed 470 GitHub pull requests and found AI-generated code introduces more defects than human-written code ...

Harness Inc. said today it’s injecting artificial intelligence into every stage of the software delivery process, looking to automate every step after the coding process, including testing, security, ...

Proactive Sensitive Data Leak Detection. Embed privacy across all stages in development, from IDE environments, with ...

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’s unique demands. For developers, this ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing series about vibe ...

The first major challenge directly comes from the limited data. Unlike software engineering tasks, where large-scale public data is abundant, the hardware domain, especially UVM verification, is ...