Inspiration

  • My 4-year-old constantly changing her mind on Halloween costumes
  • @levels.io posts about building quick proofs of concept
  • Desire to create my own take on PhotoAI.com
  • Wanted to build a quick, time-boxed product incorporating new learning areas:
    • TypeScript
    • Authentication
    • Payments
    • Diffusion models
    • Constraints in applying LLMs to full-stack apps

What it does

  • A Halloween costume visualization app (https://halloweencostu.me)
  • Allows users to generate and visualize Halloween costume ideas
  • One-trick pony with a finite shelf life, but unique and hopefully enjoyable

How I built it

  • Used AI-powered development tools:
    • Cursor.io (primary development environment)
    • v0.dev (for UI building)
    • Claude/ChatGPT (for higher quality results when needed)
  • Leveraged LLMs and modern tooling ecosystem
  • Built a prototype in a couple of days, then took about a month to complete
  • Used templates and courses, particularly those by @mckaywrigley
  • Implemented TypeScript, authentication, and payment systems

Challenges I ran into

  • Steep learning curve with TypeScript, auth, and payments
  • Managing complexity and library conflicts
  • Keeping LLMs consistent across development sessions
  • Balancing AI assistance with personal decision-making

Accomplishments that I'm proud of

  • Deployed my first full-stack application
  • Completed the project in about a month
  • Successfully integrated various new technologies and concepts
  • Created a functional product inspired by established platforms

What I learned

  • The importance of bringing your own continuity when working with LLMs
  • Complexity in projects compounds quickly and affects various aspects
  • Sequence diagrams and app specs are valuable for aligning with LLMs
  • The power of AI tools in accelerating development and learning
  • The current state of AI-assisted development and its limitations

What's next for Halloween Costu.me

  • Gather user feedback and potentially implement improvements
  • Use the experience to inform future B2B product ideas
  • Continue learning and applying new technologies in future projects

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