According to @danluu, a developing workflow for 'AI Assisted coding' aims to minimize the need for manual verification by structuring tasks so that AI tools can handle more of the verification process efficiently (source: twitter.com/danluu). This approach leverages AI-powered code review and automated testing, allowing developers to focus on higher-level design and logic while reducing human error. Businesses adopting such AI-assisted workflows can accelerate software delivery, improve code quality, and reduce operational costs as AI integration into the development lifecycle becomes more robust and widespread.

According to Brendan Jowett on Twitter, Google has introduced Jules, a groundbreaking AI-powered coding agent capable of autonomously reading codebases, planning development tasks, building features, writing tests, and pushing pull requests without the need for human co-piloting. This innovation streamlines the entire software development lifecycle, offering significant efficiency gains and cost savings for engineering teams. Jules represents a major advancement in AI-driven software automation, opening new business opportunities for enterprises seeking to accelerate product development and reduce manual coding workloads (source: Brendan Jowett, Twitter, May 25, 2025).