Emergence Engine - GitHub Issues

This document contains a comprehensive list of issues, improvements, and technical debt identified during a code review of the Emergence Engine project. Each issue is formatted for easy copy-paste into GitHub Issues.

🏗️ Architecture & Code Organization

Issue #1: Refactor app.js - File Too Large (2173 lines)

Priority: High
Type: Refactoring
Labels: technical-debt, architecture, refactoring

Description: The main app.js file is extremely large (2173 lines), making it difficult to navigate, maintain, and test. This violates the Single Responsibility Principle and makes the codebase harder to understand for new contributors.

Current State:

app.js contains initialization, rendering, game loop, HUD, UI, trail systems, fertility grids, and more
Mixing concerns makes debugging and testing difficult
Hard to track dependencies and data flow

Proposed Solution: Break app.js into smaller, focused modules:

app/initialization.js - Setup and bootstrap
app/rendering.js - Draw functions and rendering pipeline
app/gameLoop.js - Main simulation loop
app/hud.js - HUD and dashboard rendering
app/trails.js - Trail system management
Keep app.js as a thin orchestration layer

Benefits:

Easier to test individual components
Better code organization and maintainability
Reduced cognitive load when reading code
Easier to onboard new contributors

Issue #2: Refactor config.js - Configuration File Too Large (1764 lines)

Priority: Medium
Type: Refactoring
Labels: technical-debt, configuration, refactoring

Description: config.js is 1764 lines long and contains configuration, schema definitions, UI building code, and snapshot management. This file should be split into multiple focused modules.

Current State:

CONFIG object mixed with CONFIG_SCHEMA and CONFIG_HINTS
UI panel building code embedded in config file
Profile management code in config file
Makes finding and changing configuration difficult

Proposed Solution: Split into:

config/defaults.js - Default CONFIG object only
config/schema.js - CONFIG_SCHEMA definitions
config/hints.js - CONFIG_HINTS for tooltips
config/profiles.js - Profile loading/saving logic
config/panel.js - UI panel building code
config/manager.js - ConfigIO and orchestration

Benefits:

Easier to find and modify configuration values
Separates data from behavior
Easier to test configuration logic
Better for code splitting and tree-shaking

Issue #3: Add package.json for Dependency Management

Priority: High
Type: Enhancement
Labels: dependencies, tooling, documentation

Description: The project currently has no package.json file, making it unclear what dependencies are needed, what versions are compatible, and how to run tests or development scripts.

Problems:

No clear dependency list for contributors
No npm scripts for common tasks
No version management for dependencies
Unclear how to set up development environment

Proposed Solution: Create a package.json with:

{
  "name": "emergence-engine",
  "version": "0.6.0",
  "type": "module",
  "description": "Browser-based sandbox for emergent agent behavior",
  "scripts": {
    "test": "node --test test/**/*.test.js",
    "test:watch": "node --test --watch test/**/*.test.js",
    "dev": "npx http-server -p 8080",
    "lint": "eslint .",
    "format": "prettier --write ."
  },
  "dependencies": {
    "pixi.js": "^7.0.0"
  },
  "devDependencies": {
    "eslint": "^8.0.0",
    "prettier": "^3.0.0",
    "http-server": "^14.0.0"
  }
}

Benefits:

Clear dependency documentation
Standardized development workflow
Easier for contributors to get started
Enable automated tooling

🧪 Testing & Quality

Issue #4: Improve Test Coverage - Only 8 Test Files

Priority: High
Type: Testing
Labels: testing, quality, good-first-issue

Description: The project has minimal test coverage with only 8 test files covering a small fraction of the codebase. Many critical systems lack tests entirely.

Current Coverage:

✅ movement.test.js
✅ mitosis.test.js
✅ metabolism.test.js
✅ sensing.test.js
✅ steering.test.js
✅ decay.test.js
✅ resourceSystem.test.js
✅ controllerAction.test.js

Missing Tests:

❌ Bundle class (src/core/bundle.js - 892+ lines!)
❌ World class (src/core/world.js)
❌ Trail system
❌ Signal field
❌ Fertility grid
❌ Controllers (controllers.js)
❌ Learner/CEM (learner.js)
❌ Rewards system (rewards.js)
❌ Observations (observations.js)
❌ Configuration management
❌ TC systems (Rule 110, Turing machines)

Proposed Action:

Add integration tests for core simulation loop
Add unit tests for Bundle and World classes
Add tests for learning/training systems
Set up code coverage reporting (e.g., c8, nyc)
Add CI to run tests on every commit
Aim for 70%+ coverage on core systems

Benefits:

Catch regressions early
Enable confident refactoring
Document expected behavior
Improve code quality

Issue #5: Add ESLint Configuration

Priority: Medium
Type: Tooling
Labels: tooling, code-quality, good-first-issue

Description: No ESLint configuration exists, leading to inconsistent code style, potential bugs, and harder code review.

Proposed Solution: Create .eslintrc.json:

{
  "env": {
    "browser": true,
    "es2022": true,
    "node": true
  },
  "extends": "eslint:recommended",
  "parserOptions": {
    "ecmaVersion": "latest",
    "sourceType": "module"
  },
  "rules": {
    "no-unused-vars": ["warn", { "argsIgnorePattern": "^_" }],
    "no-console": "off",
    "prefer-const": "warn",
    "no-var": "error"
  }
}

Benefits:

Catch common errors before runtime
Enforce consistent code style
Improve code quality automatically
Better IDE integration

Issue #6: Add Prettier for Code Formatting

Priority: Low
Type: Tooling
Labels: tooling, code-quality, good-first-issue

Description: No code formatting standard exists, leading to inconsistent indentation, line lengths, and styling.

Proposed Solution: Create .prettierrc.json:

{
  "semi": true,
  "singleQuote": true,
  "tabWidth": 2,
  "trailingComma": "es5",
  "printWidth": 100,
  "arrowParens": "always"
}

Benefits:

No more debates about formatting
Automatic formatting on save
Consistent codebase style
Easier code review (focus on logic, not style)

🔒 Code Quality & Best Practices

Issue #7: Add .gitignore File

Priority: Medium
Type: Configuration
Labels: tooling, good-first-issue

Description: No .gitignore file exists, which could lead to accidentally committing sensitive files, dependencies, or build artifacts.

Proposed .gitignore:

# Dependencies
node_modules/
package-lock.json
yarn.lock

# Environment variables
.env
.env.local

# IDE
.vscode/
.idea/
*.swp
*.swo
*~

# OS
.DS_Store
Thumbs.db

# Build output
dist/
build/
*.log

# Testing
coverage/
.nyc_output/

# Temporary files
tmp/
temp/
*.tmp

Issue #8: Fix Observation Vector Dimension Hardcoding

Priority: Medium
Type: Bug
Labels: bug, learning-system

Description: Observation vector dimensions are hardcoded as magic numbers in multiple places (15, 23, 29), creating maintenance issues and potential bugs when dimensions change.

Locations:

controllers.js:125 - observationDims = 15
learner.js:18 - observationDims = 15
observations.js:11 - Comments say 29 dims
config.js:421 - observationDims: 23
app.js:682 - new CEMLearner(23, 3)

Problems:

Inconsistent values across files
Easy to forget updating all locations
Comments out of sync with code
Hard to track actual dimension count

Proposed Solution:

Create a single source of truth in config:

// config.js
export const OBSERVATION_DIMS = {
  chi: 3,        // chi_norm, frustration, alive
  motion: 2,     // vx, vy
  walls: 3,      // nx, ny, edge_mag
  resource: 3,   // dx, dy, visible
  trail: 4,      // mean, max, dirX, dirY
  scent: 3,      // intensity, gradX, gradY
  density: 5,    // near, mid, far, dirX, dirY
  signal: 6,     // resource, distress, bond, bias_res, bias_distress, bias_bond
  get total() {
    return this.chi + this.motion + this.walls + this.resource + 
           this.trail + this.scent + this.density + this.signal;
  }
};

Use OBSERVATION_DIMS.total everywhere instead of hardcoded numbers

Benefits:

Single source of truth
Self-documenting code
Easy to add/remove observation features
Prevents dimension mismatch bugs

Issue #9: Remove Magic Numbers Throughout Codebase

Priority: Medium
Type: Refactoring
Labels: code-quality, refactoring, good-first-issue

Description: Many magic numbers exist throughout the codebase without explanation or named constants.

Examples:

app.js:287 - SIGNAL_RESOURCE_PULL_GAIN = 2.5 (good!)
app.js:465 - (hue * 137.5) % 360 - Golden angle, should be named
app.js:1388 - hudWidth = 175 - Should be CONFIG constant
bundle.js:97 - this.tailFadeTicks = 25 - Should be CONFIG
rewards.js:155 - if (this.stuckTicks > 30) - Should be CONFIG
observations.js:122 - const margin = 50 - Should be CONFIG

Proposed Solution: Add named constants to CONFIG or create local constants with descriptive names:

const GOLDEN_ANGLE_DEGREES = 137.5; // Used for color distribution
const HUD_DEFAULT_WIDTH = 175;
const TRAIL_FADE_TICKS = 25;
const STUCK_THRESHOLD_TICKS = 30;
const WALL_AVOIDANCE_MARGIN = 50;

Benefits:

Self-documenting code
Easier to tune parameters
No guessing about what numbers mean
Easier to maintain

Issue #10: Add JSDoc Documentation

Priority: Medium
Type: Documentation
Labels: documentation, code-quality

Description: Many functions lack JSDoc documentation, making it difficult to understand parameters, return values, and behavior without reading implementation.

Examples Needing Documentation:

controllers.js - All controller classes
learner.js - CEM algorithm details
src/systems/movement.js - Movement calculations
src/systems/steering.js - Steering behavior
bundle.js - Bundle class methods
Most utility functions

Good Examples in Code:

rewards.js:7-14 - Good JSDoc on calculateAdaptiveReward
observations.js:7-20 - Good structure documentation

Proposed Solution: Add comprehensive JSDoc to all public functions and classes:

/**
 * Compute agent movement for one timestep
 * @param {Object} params - Movement parameters
 * @param {Object} params.position - Current position {x, y}
 * @param {Object} params.velocity - Current velocity {vx, vy}
 * @param {number} params.dt - Delta time in seconds
 * @param {number} params.size - Agent size for collision
 * @param {number} params.canvasWidth - World width for clamping
 * @param {number} params.canvasHeight - World height for clamping
 * @returns {Object} Result with {position, movedDist, chiCost, deposits}
 */
export function computeMovement(params) { ... }

Benefits:

Better IDE autocomplete
Self-documenting code
Easier for new contributors
Can generate API documentation

🚀 Performance & Optimization

Issue #11: Optimize Trail System Performance

Priority: Medium
Type: Performance
Labels: performance, optimization

Description: The trail system iterates over buffers multiple times per frame, which could be optimized.

Current Issues:

app.js:780-813 - Evaporation and diffusion in separate passes
app.js:819-841 - Trail drawing iterates entire buffer
Could combine operations to reduce cache misses

Proposed Optimizations:

Combine evaporation and diffusion in single pass
Use dirty rectangles to only update changed regions
Consider using WebGL for trail rendering (PixiJS filters)
Add performance budgeting to limit trail operations

Expected Benefits:

Reduce CPU time in trail update
Better frame rates with many agents
More headroom for additional features

Issue #12: Memory Leak Risk - Event Listeners Not Cleaned Up

Priority: High
Type: Bug
Labels: bug, memory-leak, browser

Description: Several event listeners are added but may not be properly removed, leading to memory leaks especially during resets or when creating/destroying many agents.

Locations:

app.js:147-170 - Canvas mousemove and mouseleave listeners
config.js:1699-1702 - Window keydown listener
bundle.js - Event listeners in Bundle class may not clean up on destroy

Proposed Solution:

Track all event listeners in cleanup arrays
Implement proper cleanup in destroy/reset methods
Use AbortController for easier cleanup:

const controller = new AbortController();
canvas.addEventListener('mousemove', handler, { signal: controller.signal });
// Later:
controller.abort(); // Removes all listeners

Benefits:

Prevent memory leaks
Proper cleanup on reset
Better browser performance over time

🎨 User Experience & Interface

Issue #13: Add Keyboard Shortcuts Documentation

Priority: Low
Type: Documentation
Labels: documentation, ux, good-first-issue

Description: Keyboard shortcuts exist in code but documentation is scattered and incomplete.

Current State:

README.md has basic controls table
app.js comments list some keys
No in-app help screen
No discoverable way to learn shortcuts

Proposed Solution:

Add Help overlay (press ? or H)
Show keyboard shortcuts in modal
Add visual indicators for key states (e.g., "AUTO" when auto-mode enabled)
Update README with complete shortcut list

Keys to Document:

Core: WASD, Space, R, A, M, T, etc.
Training: L (training UI)
Config: O (config panel), 1-9 (profiles)
Debug: H (dashboard), U (HUD), K (hotkeys), G/P (overlays)

Issue #14: Improve Mobile/Touch Support

Priority: Medium
Type: Enhancement
Labels: enhancement, mobile, accessibility

Description: The simulation is keyboard-heavy and has limited touch support, making it difficult to use on tablets and mobile devices.

Current Limitations:

No touch controls for agent movement
Config panel awkward on mobile
Small UI elements hard to tap
No pinch-to-zoom for viewing agents

Proposed Solution:

Add on-screen virtual joystick for agent control
Make UI panels responsive to screen size
Add touch gestures (pinch zoom, pan)
Larger tap targets for buttons/controls
Detect mobile and show appropriate help

Benefits:

Wider audience reach
Better demos on tablets
More accessible overall

Issue #15: Add Accessibility Features

Priority: Medium
Type: Accessibility
Labels: accessibility, a11y, enhancement

Description: The application lacks basic accessibility features, making it difficult for users with disabilities.

Missing Features:

No ARIA labels on interactive elements
No keyboard focus indicators
Canvas has no alternative text
No screen reader support
No reduced motion option
No high contrast mode

Proposed Solution:

Add ARIA labels to all buttons and controls
Ensure all functionality accessible via keyboard
Add visible focus indicators
Provide text alternatives for visual information
Add prefers-reduced-motion support
Consider adding data export for screen readers

Example:

button.setAttribute('aria-label', 'Start simulation');
button.setAttribute('role', 'button');
button.setAttribute('tabindex', '0');

Benefits:

Wider audience reach
Better for all users
Potential educational use
Legal compliance (depending on context)

🔧 Development & Tooling

Issue #16: Add CI/CD Pipeline

Priority: Medium
Type: DevOps
Labels: ci-cd, tooling, automation

Description: No continuous integration or deployment pipeline exists, meaning tests aren't run automatically and quality gates aren't enforced.

Proposed Solution: Create .github/workflows/ci.yml:

name: CI

on: [push, pull_request]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-node@v3
        with:
          node-version: '20'
      - run: npm ci
      - run: npm test
      - run: npm run lint
      
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Check index.html loads
        run: |
          python -m http.server 8080 &
          sleep 2
          curl http://localhost:8080/index.html

Benefits:

Automatic test execution
Catch errors before merge
Enforce code quality standards
Build confidence in changes

Issue #17: Add Development Documentation

Priority: Medium
Type: Documentation
Labels: documentation, good-first-issue

Description: Missing developer documentation for setting up, building, and contributing to the project.

Missing Documentation:

How to set up development environment
Architecture overview (what goes where)
How to add new features
How to run and write tests
Code style guidelines
Git workflow / branching strategy

Proposed Solution: Create docs/DEVELOPMENT.md:

# Development Guide

## Setup
1. Clone repository
2. Run `npm install`
3. Run `npm run dev` to start local server
4. Open http://localhost:8080

## Architecture
- `app.js` - Main application entry point
- `src/core/` - Core simulation classes
- `src/systems/` - Behavior systems
- `src/ui/` - User interface components
...

Benefits:

Easier onboarding for contributors
Fewer questions in issues/PRs
Better contribution quality
Preserved knowledge

🐛 Bugs & Issues

Issue #18: Fix Observation Vector Comment Mismatch

Priority: Low
Type: Bug
Labels: bug, documentation

Description: Comments in observations.js claim 29 dimensions but code shows 29 vector elements (correct). However, CONFIG says 23 dimensions, creating confusion.

Location: observations.js:11

Current Code:

/**
 * Observation components (29 dims total):
 * - χ state: [chi_norm, frustration, alive]  (3)
 * - Motion: [vx_norm, vy_norm]               (2)
 * - Walls: [nx, ny, edge_mag]                (3)
 * - Resource: [res_dx, res_dy, res_visible]  (3)
 * - Trails: [trail_mean, trail_max, tdir_x, tdir_y] (4)
 * - Scent Gradient: [intensity, grad_x, grad_y] (3) - NEW!
 * - Food Density: [near, mid, far, dens_dir_x, dens_dir_y] (5) - NEW!
 * - Signal Field: [sig_res, sig_distress, sig_bond, bias_res, bias_distress, bias_bond] (6) - NEW!
 */

Adds up to 29, but CONFIG.learning.observationDims says 23.

Solution: Audit actual observation vector, update CONFIG to match, ensure all code uses correct value.

Issue #19: Unused Config Parameters

Priority: Low
Type: Code Quality
Labels: cleanup, technical-debt

Description: Some CONFIG parameters appear unused or deprecated but remain in the codebase.

Examples:

CONFIG.rewardChi - Marked as DEPRECATED in comments
CONFIG.resourceCount - Legacy mode, rarely used
Some signal field parameters may be unused

Proposed Solution:

Audit all CONFIG parameters
Mark deprecated ones clearly
Remove truly unused ones
Add migration guide if needed

Issue #20: Missing Input Validation

Priority: Medium
Type: Security
Labels: security, validation, bug

Description: User input from config panel and imported profiles lacks validation, potentially causing crashes or unexpected behavior.

Issues:

No validation when importing JSON profiles
Config values not clamped to valid ranges
No type checking on user input
Malformed JSON could crash application

Example Risk: User imports profile with moveCostPerSecond: -999 causing agents to gain energy from moving.

Proposed Solution:

Add schema validation for imported profiles:

function validateConfig(config) {
  if (config.moveCostPerSecond < 0) {
    throw new Error('moveCostPerSecond must be >= 0');
  }
  // ... more validation
}

Clamp values to schema min/max
Validate JSON structure before applying
Show user-friendly error messages

📊 Monitoring & Analytics

Issue #21: Add Performance Monitoring

Priority: Low
Type: Enhancement
Labels: performance, monitoring, enhancement

Description: No built-in performance monitoring exists, making it hard to identify bottlenecks or regressions.

Proposed Solution: Add performance tracking:

const perfMonitor = {
  frames: [],
  record(dt, phase) {
    this.frames.push({ dt, phase, timestamp: performance.now() });
    if (this.frames.length > 60) this.frames.shift();
  },
  getStats() {
    const avgFps = 1000 / (this.frames.reduce((sum, f) => sum + f.dt, 0) / this.frames.length);
    return { avgFps, frames: this.frames };
  }
};

Add to HUD or console for monitoring.

Issue #22: Add Error Boundary for Simulation

Priority: Medium
Type: Reliability
Labels: error-handling, reliability

Description: Errors in simulation loop crash the entire application with no recovery mechanism.

Current Behavior:

Uncaught error stops simulation permanently
User must reload page
State is lost

Proposed Solution:

Wrap simulation loop in try-catch
Log errors to console
Attempt recovery or graceful pause
Show error modal to user
Add "Report Bug" button with error details

try {
  runSimulationStep();
} catch (error) {
  console.error('Simulation error:', error);
  World.paused = true;
  showErrorModal(error);
}

🎯 Feature Requests

Issue #23: Add Simulation Presets

Priority: Low
Type: Enhancement
Labels: enhancement, feature, good-first-issue

Description: Add built-in simulation presets to showcase different behaviors and make it easier for new users to explore features.

Proposed Presets:

"Efficient Foragers" - Optimized agents with good sensing
"Exploration" - High frustration, wide searching
"Colony Builder" - Focus on trails and cooperation
"Sparse Resources" - Survival mode with limited food
"Population Dynamics" - Mitosis enabled, ecology stress
"Rule 110 Demo" - TC features enabled

Implementation: Store as JSON profiles in profiles/presets/ directory, load on startup.

Issue #24: Add Replay/Recording System

Priority: Low
Type: Enhancement
Labels: enhancement, feature

Description: Add ability to record and replay simulations for analysis, debugging, and demonstrations.

Proposed Features:

Record button in UI
Capture agent positions, resources, trails per tick
Save as compressed JSON
Replay mode with timeline scrubber
Export as video/GIF (optional)

Use Cases:

Debug emergent behaviors
Create demos and tutorials
Share interesting simulation runs
Analyze agent learning progress

Issue #25: Add Simulation Export/Import

Priority: Low
Type: Enhancement
Labels: enhancement, feature, good-first-issue

Description: Allow exporting and importing full simulation state (not just config).

Export Should Include:

Current world state (agents, resources, trails)
Configuration
Random seed for reproducibility
Timestamp and version

Use Cases:

Save interesting simulation states
Share simulations with others
Continue simulation later
Compare before/after scenarios

📝 Documentation

Issue #26: Improve Code Comments

Priority: Low
Type: Documentation
Labels: documentation, code-quality

Description: Some areas of the code lack explanatory comments, especially complex algorithms.

Needs Better Comments:

app.js:683-813 - Trail system (evaporation, diffusion)
learner.js:55-64 - Box-Muller transform needs explanation
bundle.js:160-214 - Smooth trail renderer Catmull-Rom splines
Steering behavior calculations
Signal field interpretation

Best Practices:

Explain "why" not "what"
Document assumptions and invariants
Add references for algorithms
Keep comments updated with code

Issue #27: Create Architecture Diagrams

Priority: Low
Type: Documentation
Labels: documentation, architecture

Description: Add visual diagrams to help understand system architecture and data flow.

Diagrams Needed:

Component Diagram - Show major modules and dependencies
Data Flow - How observations → actions → updates
Learning Pipeline - CEM training loop
Event Flow - User input → simulation → rendering
Class Hierarchy - Bundle, Resource, Controller classes

Tools:

Mermaid (can embed in markdown)
draw.io
PlantUML

🔬 Research & Experimentation

Issue #28: Investigate WebGL Rendering

Priority: Low
Type: Research
Labels: research, performance, enhancement

Description: Investigate whether WebGL rendering via PixiJS filters could improve performance for trails and visual effects.

Current State:

Trails rendered on 2D canvas
Diffusion calculated on CPU
Could be GPU-accelerated

Research Questions:

Can trail diffusion run on GPU?
Would WebGL fragment shaders be faster?
What's the complexity of implementation?
Browser compatibility concerns?

Expected Outcome: Document findings, create proof-of-concept if promising.

Issue #29: Explore WebAssembly for Simulation Core

Priority: Low
Type: Research
Labels: research, performance, enhancement

Description: Research whether core simulation calculations could benefit from WebAssembly.

Candidates for WASM:

Trail system updates (large buffers)
Particle systems
Distance calculations
Learning/training computations

Trade-offs:

Performance gains vs. complexity
Maintainability
Browser support
Build toolchain requirements

🎓 Educational & Community

Issue #30: Create Tutorial Series

Priority: Low
Type: Documentation
Labels: documentation, education, good-first-issue

Description: Create step-by-step tutorials for common tasks and learning the codebase.

Proposed Tutorials:

"Your First Agent" - Create a custom agent behavior
"Understanding Trails" - How the pheromone system works
"Training 101" - Train your first policy
"Adding Observations" - Extend the observation vector
"Custom Rewards" - Modify the reward function

Format:

Markdown with code examples
Progressive complexity
Include exercises
Link to related code

Summary Statistics

Total Issues Identified: 30

By Priority:

🔴 High: 5
🟡 Medium: 13
🟢 Low: 12

By Type:

🐛 Bug: 4
🏗️ Refactoring: 5
🔧 Tooling: 6
📚 Documentation: 6
✨ Enhancement: 6
🚀 Performance: 2
🔬 Research: 2

Quick Wins (Good First Issues):

Issue #5: Add ESLint Configuration
Issue #6: Add Prettier
Issue #7: Add .gitignore
Issue #9: Remove Magic Numbers
Issue #13: Keyboard Shortcuts Documentation
Issue #17: Development Documentation
Issue #23: Add Simulation Presets
Issue #25: Simulation Export/Import
Issue #30: Create Tutorial Series

Getting Started

For Maintainers

Start with high-priority issues that provide the most value:

Issue #3 - Add package.json (unblocks tooling)
Issue #1 - Refactor app.js (improves maintainability)
Issue #4 - Improve test coverage (enables confident changes)
Issue #8 - Fix observation dimensions (prevents bugs)

For Contributors

Look for "good-first-issue" labeled items - they're easier entry points that don't require deep system knowledge.

Issue Template

When creating issues on GitHub, use this format:

**Priority:** [High/Medium/Low]
**Type:** [Bug/Enhancement/Refactoring/Documentation/etc.]
**Labels:** [comma, separated, labels]

## Description
[Clear description of the issue]

## Current Behavior
[What happens now]

## Expected Behavior
[What should happen]

## Proposed Solution
[How to fix/implement]

## Benefits
[Why this matters]

Generated from code review on 2025-11-09

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Emergence Engine - GitHub Issues

🏗️ Architecture & Code Organization

Issue #1: Refactor app.js - File Too Large (2173 lines)

Issue #2: Refactor config.js - Configuration File Too Large (1764 lines)

Issue #3: Add package.json for Dependency Management

🧪 Testing & Quality

Issue #4: Improve Test Coverage - Only 8 Test Files

Issue #5: Add ESLint Configuration

Issue #6: Add Prettier for Code Formatting

🔒 Code Quality & Best Practices

Issue #7: Add .gitignore File

Issue #8: Fix Observation Vector Dimension Hardcoding

Issue #9: Remove Magic Numbers Throughout Codebase

Issue #10: Add JSDoc Documentation

🚀 Performance & Optimization

Issue #11: Optimize Trail System Performance

Issue #12: Memory Leak Risk - Event Listeners Not Cleaned Up

🎨 User Experience & Interface

Issue #13: Add Keyboard Shortcuts Documentation

Issue #14: Improve Mobile/Touch Support

Issue #15: Add Accessibility Features

🔧 Development & Tooling

Issue #16: Add CI/CD Pipeline

Issue #17: Add Development Documentation

🐛 Bugs & Issues

Issue #18: Fix Observation Vector Comment Mismatch

Issue #19: Unused Config Parameters

Issue #20: Missing Input Validation

📊 Monitoring & Analytics

Issue #21: Add Performance Monitoring

Issue #22: Add Error Boundary for Simulation

🎯 Feature Requests

Issue #23: Add Simulation Presets

Issue #24: Add Replay/Recording System

Issue #25: Add Simulation Export/Import

📝 Documentation

Issue #26: Improve Code Comments

Issue #27: Create Architecture Diagrams

🔬 Research & Experimentation

Issue #28: Investigate WebGL Rendering

Issue #29: Explore WebAssembly for Simulation Core

🎓 Educational & Community

Issue #30: Create Tutorial Series

Summary Statistics

Getting Started

For Maintainers

For Contributors

Issue Template