The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...

A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...

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

Developers using large language models (LLMs) to generate code perceive significant benefits, yet the reality is often less rosy. Programmers who adopted AI for code generation estimate, for example, ...

The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Kiro is the new Amazon Web Services IDE for creating software projects using agentic AI. A developer using Kiro creates a specification for the desired program, and Kiro uses Claude Sonnet (3.7 or 4.0 ...

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 examine the rising new job position of ...

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 ...

Python has become the most popular language for using AI, and its creator believes that there’s an interesting reason why this is ...