Briefing

Zero‑Code ASCII Art Converter Built Entirely with Claude Code

ai-dev
by Raul Andrade · Vercel Claude Anthropic OpenAI

Patch your workflow by structuring prompts, maintaining CONTEXT.md and ADR docs, and using Claude Code to generate code without opening files.

What to do now

Patch your workflow by structuring prompts, maintaining CONTEXT.md and ADR docs, and using Claude Code to generate code without opening files.

Summary

The author describes building an ASCII Art Converter that streams live webcam footage, performs AI analysis with Anthropic, OpenAI, or Gemini, and exports results as PNG or TXT, all while maintaining a cyberpunk design system. The entire codebase was generated through Claude Code prompts, with no manual editing of files. To keep the AI focused, the author maintained a CONTEXT.md containing domain terms and a docs/adr directory documenting architectural decisions such as the separation of hidden and visible canvases and the decision to run the webcam loop on the main thread. Skills from Matt Pocock were adapted to create a /security-review prompt that automatically checks for common vulnerabilities. When Claude produced scattered useState hooks, the author prompted for a useReducer hook, resulting in cleaner state management. The project demonstrates that prompt‑driven development can produce a fully functional application, from front‑end to AI integration, without writing a single line of code manually. The source code is hosted on GitHub (https://github.com/andraderaul/ascii-art-converter) and a live demo is available at https://ascii-art-converter-tawny.vercel.app/. The author invites readers to examine the prompts, decisions, and code structure for further learning.

Key changes

  • The author built an ASCII Art Converter with live webcam, AI analysis (Anthropic, OpenAI, Gemini), PNG/TXT export, and a cyberpunk design system.
  • No code was written manually; all code was generated via Claude Code prompts.
  • The author maintained CONTEXT.md for domain terms and docs/adr for architectural decisions.
  • Skills from Matt Pocock were adapted for a /security-review prompt that automatically checks for common vulnerabilities.
  • When Claude produced scattered useState hooks, the author prompted for a useReducer hook, resulting in cleaner state management.
  • The project demonstrates that prompt‑driven development can produce a fully functional application without manual coding.
  • The source code is hosted on GitHub: https://github.com/andraderaul/ascii-art-converter.
  • A live demo is available at https://ascii-art-converter-tawny.vercel.app/.

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