AWS integrates code vulnerability security platform Continuum with OpenAI Codex, Anthropic Claude Code and AWS Kiro for AI cybersecurity, a win for enterprises, AWS partners say.

The open-source orchestration offering could help enterprises automate long-running software engineering workflows, although governance and interoperability challenges remain, analysts say.

As artificial intelligence continues to transform software development, organizations are facing a growing cybersecurity challenge: ensuring that AI-generated code is thoroughly tested before deployment.

A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. Its headline claim of 80-94% less code came from a flawed baseline;

Anyone can code using AI. But it might come with a hidden cost. Over the past year, AI systems have become so advanced that users without significant coding or computer science experience can now spin up websites or apps simply by giving instructions ...

Let's suppose AI generates a test that clicks a button by finding it with an ID number. This process works fine until someone redesigns the page and that ID changes. The button still exists and works for real users, but the test can't find it anymore.

In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and ...