Usman Salis
⬤ A developer showcased how they built a fully functional video editing application using Anthropic's Claude tools. The project leveraged Claude Code to generate around 10,000 lines of code through the Claude Agent SDK paired with the Claude Opus 4.6 model.
⬤ The application operates entirely on local machines and offers extensive customization options. Instead of manually coding each component, the developer simply prompted the model to build the editing environment. This approach demonstrates how AI systems can assemble working software projects from natural language instructions rather than traditional line-by-line programming—similar to local execution environments explored in LM Studio lets you run Claude Code locally.
⬤ As the developer noted, the system handles logic and structure organization autonomously, transforming high-level instructions into a functional application. The Claude Opus 4.6 model powering this project has proven its capabilities in independent testing, as shown in Claude Opus 4.6 performance benchmark results.
⬤ This example reveals how prompt-based workflows are reshaping software development, allowing developers to create sophisticated applications that run locally without cloud dependencies. The project emphasizes experimentation and customization possibilities within AI-assisted development environments, showing that complex software tools can now emerge from conversational instructions rather than extensive manual coding.
Usman Salis
