At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Since the one-day trial feels much more like a realistic workday, the process benefits both sides. Candidates have ample ...

Have an app you've always wanted to build? A humdrum task to automate? AI tools make it easier than ever, but they can be as ...

China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems capable of planning changes, executing them across multiple steps and iterating ...

And, as we changed this means of interaction rather quickly, one way we did it has to do with games. Game engines are now AI ...

When ChatGPT arrived in late 2022, it kicked off an AI boom that hasn't stopped since and showed how powerful ...

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, ...

The advantage AI brings to the table is that it "compresses feedback loops and allows engineers to focus on problem solving rather than mechanical tasks," Kumar said. "Treat it not as a replacement, ...

Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...

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

As AI tools accelerate how engineering teams write and deploy code, review and quality processes are struggling to keep pace.