A Quote from Jaana Dogan (simonwillison.net)

Jaana Dogan, a Principal Engineer at Google, recently shared insights into the development of distributed agent orchestrators, a project Google has been pursuing since last year. Dogan highlighted the potential of AI coding agents by showcasing how Claude Code—an AI tool—successfully generated a prototype based on a simple description of the problem within just an hour. While emphasizing that the output is a work in progress, she encouraged skeptics of coding agents to experiment with domains they are familiar with to see the capabilities of these tools firsthand. This revelation is significant for the AI/ML community as it demonstrates the evolving ability of large language models (LLMs) to assist in complex problem-solving and software development. The use of AI in generating functional code marks a shift towards more collaborative human-AI development environments, thus enhancing creativity and efficiency in engineering tasks. Dogan’s experience provides a practical example of how AI can streamline the development process, paving the way for more innovative applications and applications in various industries.