Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

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, ...

BURLINGTON, Mass.--(BUSINESS WIRE)--Veracode, a global leader in application risk management, today unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code ...

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 ...

Coding jobs are thought to be under threat amid the AI wave, but it appears that code itself could end up becoming ...

An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?

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 ...

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, ...

Coforge Limited (NSE: COFORGE), a global digital services and solutions provider, today announced expanded new capabilities for Coforge CodeInsightAI, its agentic AI-powered code intelligence and ...

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 ...

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...