State of AI Assisted Workflows July 2026 (handmadeoasis.com)

In the latest update on AI-assisted workflows, a significant shift has occurred: the focus has moved from speed of generation to maintaining an up-to-date mental model amidst rapid changes. The author emphasizes the importance of optimizing workflow layers—including context, review loops, and prompt management—to enhance productivity. By experimenting with various tools, they have discovered more effective ways to utilize AI while actively engaging in the process, such as using trees to structure thought, which prevents irrelevant context from cluttering the workflow. The introduction of innovative tools like Herdr, a replacement for tmux, allows for improved automation and session management, emphasizing agent-driven workflows. Mobile development capabilities have also expanded, enabling seamless integration with SSH for real-time access to coding environments. New skills, including teaching and practicing, have been developed to enhance learning retention and engagement. Overall, these updates signify a paradigm shift where AI is increasingly tailored to human needs rather than just automating tasks, fostering an environment where mental models can evolve alongside rapidly changing technology.