“AI may generate code faster than any human,” Guo said. “But the need to understand what code is doing has only intensified. AI generates code that may seem right, but it isn’t always reliable. You ...

Through that experience, I got an up-close view of how software engineering teams work, how good products are launched, and ...

Developers from across the industry weigh in on the positives and negatives of using AI to create video game code ...

The University of Georgia hosts many student service programs — one of which uniquely bridges the gap between students and ...

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...

Amid a push toward AI agents, with both Anthropic and OpenAI shipping multi-agent tools this week, Anthropic is more than ready to show off some of its more daring AI coding experiments. But as usual ...

New Delhi: Anthropic, the company behind the Claude AI models, shared a detailed blog post yesterday about pushing the boundaries of what AI can do on its own in software development. Researcher ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Abstract: This paper presents a new category that has been added to the classification of Kim and Ko (2017) for programming learning systems, namely the Online Coding Tutorial System (OCTS) category.

Popular vibe coding platforms consistently generate insecure code in response to common programming prompts, including creating vulnerabilities rated as ‘critical,’ new testing has found. Security ...