Monorepo for Aesthetic.Computer
aesthetic.computer
KidLisp Make Integration P### Phase 4: Testing and Refinement ✅#
- Add matrix tiny font for better code readability
- Integrate KidLisp syntax highlighting with real-time coloring
- Fix API integration bug (program object structure)
- Fix prompt file path and loading
- Configure Claude Sonnet 4 route (same as oldmake)
- Test with various prompts
- Verify kidlisp code execution works correctly
- Ensure UI feedback is responsive
- Test error handling for invalid kidlisp
- Optimize performance# Goal
Modify the new
makecommand to have the same UI/UX asoldmakebut generate valid kidlisp code instead of general JavaScript, and create a structured API specification for LLMs inkidlisp.mjs.
Progress Tracking#
Phase 1: Analysis and Setup ✅#
- Analyze current
make.mjsstructure - Analyze
oldmake.mjsUI/UX features - Review
kidlisp.mjscapabilities - Create this tracking plan
Phase 2: KidLisp API Documentation ✅#
- Add structured LLM API section to
kidlisp.mjs - Document core kidlisp functions and syntax
- Document graphics commands (wipe, ink, line, box, etc.)
- Document animation and timing features
- Document variable and function definition syntax
- Provide example patterns for common use cases
Phase 3: Make Command Integration ✅#
- Copy UI/UX system from
oldmake.mjstomake.mjs - Modify prompt system to generate kidlisp instead of JavaScript
- Integrate kidlisp execution into the paint function
- Add kidlisp syntax highlighting
- Test parameter highlighting with kidlisp generation
Phase 4: Testing and Refinement �#
- Test with various prompts
- Verify kidlisp code execution works correctly
- Ensure UI feedback is responsive
- Test error handling for invalid kidlisp
- Optimize performance
Key Features to Port from oldmake.mjs#
- Character-by-character streaming display
- Parameter highlighting during generation
- Progress bars and visual feedback
- Dynamic resolution scaling
- Syntax highlighting
- Timer and countdown systems
- Code execution in custom buffers
- Scrolling code display
KidLisp Functions to Document for LLMs#
Graphics#
wipe- Clear screen with colorink- Set drawing colorline- Draw line between pointsbox- Draw rectanglecircle- Draw circleplot- Set individual pixels
Animation#
- Timing expressions (e.g.,
1s,2s...) wiggle- Random variation- Variable interpolation
Variables & Logic#
def- Define variables+,-,*,/- Math operations- Conditional expressions
Advanced#
later- Function definitionsonce- Execute only oncebake- Render to background layer
Implementation Summary#
✅ Completed Work#
LLM API Documentation (kidlisp.mjs)
- Added comprehensive LLM specification section covering all core KidLisp functions
- Documented graphics primitives, animation features, variables, and advanced capabilities
- Provided example patterns and best practices for code generation
- Included error patterns to avoid
KidLisp Prompt Template
- Created
kidlisp-make.promptwith structured template for generating KidLisp code - Includes complete language specification and output formatting guidelines
- Focuses on visual, animated art generation from natural language prompts
Enhanced Make Command (make.mjs)
- Ported sophisticated UI/UX from
oldmake.mjsincluding:- Character-by-character streaming display with typing sounds
- Parameter highlighting during code generation
- Progress bars and visual feedback
- Real-time KidLisp compilation and execution
- Error handling and graceful fallbacks
- Integrated with KidLisp interpreter for immediate code execution
- Added incremental compilation during streaming
- Caches last valid code for faster startup
🎯 Key Features#
- Real-time Generation: Code appears character-by-character with audio feedback
- Visual Feedback: Parameters highlight as they're incorporated into generated code
- Live Preview: KidLisp code executes immediately as it's generated
- Error Recovery: Graceful handling of parse/execution errors
- Caching: Remembers last successful generation for quick startup
- Clean Integration: Seamless connection between natural language and KidLisp execution
🚀 Ready for Testing#
The integration is complete and ready for testing with various prompts. The system should now:
- Accept natural language prompts (e.g., "make a red circle that bounces around")
- Generate appropriate KidLisp code using the LLM
- Display the code generation with visual feedback
- Execute the KidLisp code in real-time for immediate visual results
- Handle errors gracefully and provide debugging information
Implementation Notes#
- Need to create a prompt template for the system
- Should leverage existing KidLisp parser and evaluator
- UI should show kidlisp syntax highlighting
- Generated code should be executable immediately