Not only are we less clear about who is developing software, but we are also less confident about our total inventory of ...

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

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Two years after the launch of ChatGPT, return on investment in generative AI has been elusive, but one area stands out: software development. So-called code generation or “code-gen” startups are ...

CodeRabbit’s “State of AI vs Human Code Generation” Report Finds That AI-Written Code Produces ~ 1.7x More Issues Than Human Code Review of AI-coauthored PRs and human-only PRs finds AI-Generated PRs ...

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 ...

Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

In the ever-evolving landscape of financial technology, artificial intelligence (AI) has emerged as a largely transformative force. As banks seek to innovate and improve efficiency, AI-driven code ...

Alibaba Group (BABA) has announced Qwen3-Coder, its latest generative artificial intelligence model, which it claims is the most advanced for code generation. The Chinese tech giant has stepped up the ...

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...