According to Greg Brockman (@gdb) and Daniel Kundel (@dkundel) on X, OpenAI Codex now supports advanced multitasking features, allowing developers to execute multiple coding tasks simultaneously (source: x.com/dkundel/status/1984367778154127465). This update enables more efficient workflow automation and parallel processing, making Codex a powerful tool for software development teams aiming to streamline repetitive tasks and accelerate project delivery. Businesses leveraging Codex for AI-driven automation can benefit from improved productivity and reduced development time, opening new opportunities for cost savings and faster innovation.

According to Anthropic (@AnthropicAI), the company has detailed on its engineering blog how it developed Claude’s advanced AI research capabilities by leveraging multiple agents working in parallel. The blog post outlines the practical engineering strategies, highlighting what succeeded and where challenges arose during the process. This multi-agent parallelism significantly enhanced efficiency and scalability, enabling Claude to process more complex research tasks. These insights offer valuable lessons for AI developers seeking to implement robust multi-agent architectures and present new business opportunities for organizations aiming to scale AI research operations efficiently (Source: Anthropic Engineering Blog, June 13, 2025).