Encountering coding errors in artificial intelligence (AI) projects can feel overwhelming, but a structured approach can transform the troubleshooting process into a manageable and efficient task.

While AI assistants such as Copilot have streamlined software development workflows, heavy reliance on them comes with potential risks. Viewing AI assistants as full-fledged partners rather than as ...

CVE-2025-7851 stems from residual debug code left in patched firmware CVE-2025-7850 enables command injection through the WireGuard VPN interface Exploiting one vulnerability made the other easier to ...

Morgan Stanley’s new AI tool translates code in older languages into plain English. The bank’s developers can then use the English specs to rewrite the code into a newer language. The tool has helped ...

AI tools are widely used by software developers, but those devs and their managers are still grappling with figuring out how exactly to best put the tools to use, with growing pains emerging along the ...

AI-Generated Code is Causing Outages and Security Issues in Businesses Your email has been sent Tariq Shaukat, CEO of Sonar, is “hearing more and more” about companies that have used AI to write their ...

Last Friday, OpenAI introduced a new coding system called Codex, designed to perform complex programming tasks from natural language commands. Codex moves OpenAI into a new cohort of agentic coding ...

Many developers fall into the trap of “vibe coding”—an unstructured, go-with-the-flow approach that often leads to missed deadlines, buggy code, and endless frustration. While spontaneity might work ...