Burke Holland, a technologist at GitHub, published a guide on July 27, 2026, outlining a streamlined AI development workflow using GitHub Copilot's harness to boost productivity without chasing new tools. The post highlights an eight-step workflow for prototyping, planning, and implementing software efficiently, leveraging Copilot's existing capabilities. Holland emphasizes that "Less is way more," noting that mastery of Copilot's harness can yield significant productivity gains. The workflow begins with selecting a tool within the GitHub Copilot family, such as the CLI, Visual Studio Code, or the standalone Copilot app. New users are advised to start with the Copilot CLI and enable 'YOLO mode' (Allow All) to grant the agent autonomy for executing commands in a secure sandbox environment like GitHub Codespaces. Holland underscores the value of prototyping, where Copilot can generate visual or textual mocks, such as outputting 20 layout variations for a single UI element. Copilot's "Plan Mode" enables methodical task breakdowns, enhanced by the "grill-me" skill. After planning, Copilot's "Autopilot" mode orchestrates implementation using subagents, with smaller models handling file exploration and larger models managing complex logic. Human review remains essential, and Copilot's "Rubber Duck" review feature uses a secondary AI model to critique outputs.