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

EY's product development team reached 4x to 5x productivity gains by connecting coding agents to internal code repositories, engineering standards, and compliance frameworks — solving the problem of AI-generated code that can't actually be deployed.

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools that are helping developers produce code at unprecedented volumes.

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 commanding sky-high valuations as corporate boardrooms ...

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 scores on these benchmarks, understanding which ones to ...

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 generation represents one of the most promising advancements.

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 have more bugs, more security risks and heavier ...

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