VibeForge_svelte Svelte Themes

Vibeforge_svelte

VibeForge is an AI-powered coding workbench for Linux that unifies prompt engineering, stack and language selection, project scaffolding, icon generation, and dev automations into a single desktop experience.

VibeForge

VibeForge

AI-Powered Project Automation Platform

Beta Freeware Commercial Backend SvelteKit 5


πŸ“„ License (Freeware With Restrictions)
VibeForge is released as freeware by Boswell Digital Solutions LLC.
Free to download and use, but with modification and redistribution restrictions.
Backend services (NeuroForge + DataForge) remain commercial.
See License section for full terms.


VibeForge is an intelligent project creation platform with AI-powered recommendations, adaptive learning, and success prediction. It guides developers through multi-step project setup with 15 programming languages, 10 production-ready stack profiles, and learning-based insights. Built with SvelteKit 5, TypeScript, and Tailwind CSS, it provides a professional wizard interface optimized for efficiency and low cognitive load.


πŸ“š Table of Contents

  1. Quick Start
  2. What is VibeForge?
  3. Key Features
  4. Tech Stack
  5. Project Status
  6. Documentation
  7. Architecture
  8. Wizard Flow
  9. API Integration
  10. Development
  11. Project Structure
  12. Troubleshooting
  13. Deployment
  14. Testing
  15. Contributing
  16. Quick Links
  17. License

πŸš€ Quick Start

# Install dependencies
pnpm install

# Start development server
pnpm dev

# Open browser to http://localhost:5173

First-time setup? See SETUP.md for detailed installation instructions.


πŸ“‹ What is VibeForge?

VibeForge is a freeware entry product to the Forge Ecosystemβ€”an intelligent project creation wizard that helps developers:

  • Create AI-optimized projects with adaptive stack recommendations
  • Select from 15 languages across 4 categories (Frontend, Backend, Mobile, Systems)
  • Choose production-ready stacks from 10 professionally configured profiles
  • Learn from experience with historical insights and success prediction
  • Get personalized recommendations based on your project history
  • Predict project success with ML-powered forecasting

🌟 Key Features

πŸ§™ Intelligent Wizard System

  • 5-Step Project Creation - Intent β†’ Languages β†’ Stack β†’ Configuration β†’ Review & Generate
  • Template Library - 10 professional project templates with auto-fill
  • Smart Validation - Real-time name checking, description quality analysis
  • Progress Tracking - Visual step indicators and completion status
  • Draft Saving - Resume wizard sessions across browser restarts

πŸ”€ Language Support (15 Languages)

  • Frontend (3): JavaScript/TypeScript πŸ“˜, Svelte πŸ”₯, Solid.js βš›οΈ
  • Backend (5): Python 🐍, Node.js 🟒, Go 🐹, Rust πŸ¦€, Java β˜•
  • Mobile (3): Dart (Flutter) 🎯, Kotlin πŸ€–, Swift πŸ’¨
  • Systems (4): C, C++, Bash πŸ’», SQL πŸ“ˆ
  • Compatibility Validation - Real-time checks for language pairing conflicts
  • Project-Type Recommendations - AI-suggested languages based on intent

πŸ“¦ Stack Profiles (10 Production-Ready Stacks)

  • T3 Stack - Next.js + tRPC + Prisma + TypeScript
  • MERN - MongoDB + Express + React + Node.js
  • Next.js Enterprise - React + TypeScript + Tailwind
  • Django Full-Stack - Python + Django + PostgreSQL
  • FastAPI AI - Python + FastAPI + AI/ML libraries
  • Laravel MVC - PHP + Laravel + MySQL
  • React Native Expo - Mobile + TypeScript + Expo
  • Go Cloud-Native - Go + Microservices + Docker
  • SvelteKit - Svelte 5 + TypeScript + Vite
  • SolidStart - Solid.js + TypeScript + Vinxi

🧠 Adaptive Learning Layer

  • Historical Insights - Track project creation patterns and outcomes
  • Success Prediction - ML-powered forecasting with confidence scores
  • User Preferences - Learn language/stack favorites automatically
  • Pattern Detection - Identify successful project configurations
  • Personalized Recommendations - Tailored suggestions based on history
  • DataForge Integration - Persistent learning data storage

βš™οΈ Configuration Management

  • Database Selection - PostgreSQL, MySQL, MongoDB, SQLite, Redis
  • Authentication - JWT, OAuth 2.0, Session, Firebase Auth
  • Deployment Platforms - Vercel, Netlify, Docker, AWS, Heroku
  • Environment Variables - Auto-generated .env.example templates
  • Docker Support - Automatic Dockerfile and docker-compose.yml generation

πŸš€ Project Generation

  • Complete Directory Structure - Professional project scaffolding
  • README Generation - Stack-specific documentation with setup instructions
  • Configuration Files - package.json, tsconfig.json, .gitignore
  • Docker Templates - Multi-service setups with database integration
  • Best Practices - Industry-standard project organization

🎨 Professional Design

  • Dark/Light Theme - "Forge" design system with steel-inspired colors
  • Low Cognitive Load - Clean, focused interface
  • Responsive Layout - Optimized for desktop development workflows
  • Accessibility - ARIA labels, keyboard navigation support

Backend Integration (Commercial)

VibeForge connects to commercial Forge backend services:

  • NeuroForge - AI orchestration and model routing
  • DataForge - Learning data persistence and analytics
  • Note: Backend services are proprietary and not included in freeware distribution

πŸ“š Documentation

Document Purpose
SETUP.md Installation and configuration guide
ARCHITECTURE.md Technical architecture and design patterns
FEATURES.md Feature documentation and user guides
DEVELOPMENT.md Development workflow and contribution guide
TESTING.md Testing procedures and checklists

πŸ—οΈ Tech Stack

  • SvelteKit 2.x - Full-stack metaframework
  • Svelte 5 - Latest with runes ($state, $derived, $props)
  • TypeScript 5.9 - Full type safety
  • Tailwind CSS v4 - Utility-first styling
  • Vite 7.x - Lightning-fast build tool
  • pnpm - Fast package manager

🎯 Project Status

Version: 0.1.0 (Beta)
Status: πŸ”΅ Beta - Feature Complete, Active Testing
License: Freeware with Restrictions

Completed Features (Phase 3.2 & 3.3)

  • Multi-step project creation wizard
  • 15 programming languages with metadata
  • 10 production-ready stack profiles
  • Adaptive learning layer (backend + frontend)
  • Historical insights dashboard
  • Success prediction with ML
  • Language compatibility validation
  • Stack recommendations engine
  • Timeline estimation system
  • Template library (10 templates)
  • Dark/Light theme system
  • Full backend API integration βœ…

In Progress

  • Runtime environment detection (Phase 2.7)
  • Dev-Container auto-generation
  • User authentication
  • Project outcome tracking (Phase 3.4)
  • Feedback collection system
  • Cloud deployment

πŸ›οΈ Architecture

Frontend Stack

Core Framework:

  • SvelteKit 2.x - Full-stack metaframework with file-based routing
  • Svelte 5 - Runes mode ($state, $derived, $props, $effect)
  • TypeScript 5.9 - Full type safety across components and stores
  • Vite 7.x - Lightning-fast HMR and optimized builds

Styling & Design:

  • Tailwind CSS v4 - Utility-first with custom "Forge" theme
  • PostCSS - CSS processing and optimization
  • Custom Design System - Steel-inspired color palette (blacksteel, gunmetal, ember)

State Management:

  • Svelte Stores - Reactive state management
    • wizardStore.ts - Multi-step wizard state
    • languagesStore.ts - Language selection state
    • stacksStore.ts - Stack profile state
    • insightsStore.ts - Learning layer state
    • themeStore.ts - Theme persistence

Backend Integration

VibeForge connects to commercial backend services:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   VibeForge Frontend   β”‚ (Freeware)
β”‚   SvelteKit 5 + Tauri  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
          β”‚
          β”œβ”€β”€β”€β”€β”€> DataForge API (Commercial)
          β”‚         β€’ Project persistence
          β”‚         β€’ Learning data storage
          β”‚         β€’ Analytics aggregation
          β”‚
          └─────> NeuroForge API (Commercial)
                    β€’ AI recommendations
                    β€’ Success prediction
                    β€’ Pattern analysis

API Client Layer:

  • src/lib/api/languagesClient.ts - Language data fetching
  • src/lib/api/stackProfilesClient.ts - Stack profile queries
  • src/lib/api/insightsClient.ts - Learning layer integration
  • Offline-first with local fallback data
  • Graceful degradation when backends unavailable

Tauri Backend (Rust)

Project Generator:

  • src-tauri/src/project_generator.rs - File system operations
  • Generates complete project structures
  • Creates stack-specific configuration files
  • Handles Docker, database, and auth templates

Future: Runtime Detection:

  • src-tauri/src/runtime_checker.rs - Detect installed languages/tools
  • Version parsing and validation
  • PATH detection with user overrides
  • Result caching (5-minute TTL)

Data Flow

1. User Input (Wizard Steps)
   ↓
2. Svelte Stores (State Management)
   ↓
3. Validation & Compatibility Checks
   ↓
4. API Integration (DataForge/NeuroForge)
   ↓
5. Learning Layer Analysis
   ↓
6. Tauri Backend (Project Generation)
   ↓
7. File System Output

🧭 Wizard Flow

Step 1: Project Intent 🎯

Objective: Capture project vision and requirements

Inputs:

  • Project name (validated for uniqueness)
  • Description (quality analysis with hints)
  • Project type (Web, Mobile, Desktop, API, AI/ML, CLI)
  • Team size (Solo, Small 2-5, Medium 6-15, Large 16+)
  • Timeline (Quick prototype, MVP 1-3 months, Full project 3-6 months, Enterprise 6+ months)

Features:

  • Template selector with 10 professional templates
  • Auto-fill from templates
  • Description quality scoring
  • Complexity estimation
  • Milestone suggestions

Step 2: Language Selection πŸ”€

Objective: Choose programming languages with compatibility validation

Inputs:

  • Primary languages (1-3 selections)
  • Category filtering (Frontend, Backend, Mobile, Systems)
  • Search functionality

Features:

  • Project-type based recommendations
  • Compatibility warnings (e.g., "Python + Dart rarely used together")
  • Layer validation (frontend + backend pairing)
  • Language details modal with full metadata
  • Real-time API integration with offline fallback

Step 3: Stack Selection πŸ“¦

Objective: Select production-ready stack profile

Inputs:

  • Stack profile (filtered by compatible languages)
  • Complexity preference (Beginner, Intermediate, Advanced)

Features:

  • Language-based filtering
  • Smart recommendations based on intent + languages
  • Stack comparison modal
  • Popularity indicators
  • Technology preview with icons

Step 4: Configuration βš™οΈ

Objective: Configure project specifics

Inputs:

  • Database (PostgreSQL, MySQL, MongoDB, SQLite, Redis, None)
  • Authentication (JWT, OAuth 2.0, Session, Firebase, None)
  • Deployment platform (Vercel, Netlify, Docker, AWS, Heroku, Self-hosted)
  • Additional features (Docker support, Testing setup, CI/CD)

Features:

  • Stack-specific options
  • Runtime status display
  • Environment variable preview
  • Configuration validation

Step 5: Review & Generate πŸš€

Objective: Review selections and generate project

Displays:

  • Complete project summary
  • Selected languages and stack
  • Configuration details
  • Runtime checklist
  • Estimated setup time

Actions:

  • Edit any previous step
  • Select output directory (default: ~/Projects)
  • Generate project structure
  • Open in file manager
  • Copy path to clipboard

Generated Files:

  • Complete directory structure
  • README.md with setup instructions
  • package.json / requirements.txt / Cargo.toml
  • .gitignore (language-aware)
  • .env.example
  • Dockerfile and docker-compose.yml (if selected)
  • Stack-specific configs (tsconfig.json, etc.)

πŸ”Œ API Integration

DataForge Learning Layer

VibeForge persists learning data to DataForge for analytics and insights.

Endpoints Used:

// Save project creation
POST /api/vibeforge/projects
{
  project_name: string,
  project_type: string,
  selected_languages: string[],
  selected_stack: string,
  team_size: string,
  timeline: string,
  complexity: number
}

// Track wizard session
POST /api/vibeforge/sessions
{
  project_id: string,
  steps_completed: number,
  abandoned: boolean,
  completion_time_seconds: number,
  llm_queries_count: number
}

// Record project outcome
POST /api/vibeforge/outcomes
{
  project_id: string,
  build_success: boolean,
  test_pass_rate: number,
  deploy_success: boolean,
  user_satisfaction: number
}

// Get historical insights
GET /api/vibeforge/analytics/stack-success
GET /api/vibeforge/analytics/language-trends
GET /api/vibeforge/preferences/{user_id}

Offline Behavior:

  • All API calls gracefully fail to local data
  • Wizard continues without backend
  • Data synced when connection restored

NeuroForge AI Recommendations

Optional AI-powered suggestions using NeuroForge orchestration.

Endpoints Used:

// Get language recommendations
POST /api/neuroforge/recommend/languages
{
  project_type: string,
  team_size: string,
  timeline: string
}

// Get stack recommendations
POST /api/neuroforge/recommend/stacks
{
  project_type: string,
  selected_languages: string[],
  complexity: string
}

// Predict success probability
POST /api/neuroforge/predict/success
{
  project_config: ProjectConfig,
  user_history: UserHistory
}

πŸ› οΈ Development

# Install dependencies
pnpm install

# Start dev server (with hot reload)
pnpm dev

# Type checking
pnpm check
pnpm check:watch

# Build for production
pnpm build

# Preview production build
pnpm preview

See DEVELOPMENT.md for detailed development workflows.


πŸ“– Key Concepts

3-Column Layout Philosophy

  • Left Column (Context): Browse and select reusable context blocks
  • Center Column (Prompt): Compose prompts with active context visualization
  • Right Column (Output): View model responses and execution metrics

Context Blocks

Reusable prompt components that can be:

  • System prompts
  • Design specifications
  • Project context
  • Code snippets
  • Workflow instructions

Workspaces

Isolated environments for different projects or teams, each with:

  • Separate contexts
  • Independent presets
  • Isolated run history
  • Workspace-specific settings

🎨 Design System

VibeForge uses a custom "Forge" design system inspired by forged steel:

Dark Mode (Default):

  • forge-blacksteel - Primary backgrounds
  • forge-gunmetal - Secondary backgrounds
  • forge-steel - Interactive states
  • forge-ember - Primary accent (amber)

Light Mode:

  • forge-quench - Light backgrounds
  • forge-quenchLift - Elevated surfaces

See ARCHITECTURE.md for complete design system documentation.


πŸ”§ Troubleshooting

1. "Cannot find module" errors

Cause: Missing dependencies or incorrect installation.

Solution:

# Remove node_modules and lockfile
rm -rf node_modules pnpm-lock.yaml

# Clear pnpm cache
pnpm store prune

# Reinstall dependencies
pnpm install

# Verify installation
pnpm list

2. Development server won't start

Cause: Port 5173 already in use or Vite configuration issue.

Solution:

# Check what's using port 5173
lsof -i :5173
# or
netstat -tuln | grep 5173

# Kill the process
kill -9 <PID>

# Or use different port
pnpm dev --port 5174

# Check Vite config
cat vite.config.ts

3. TypeScript errors in IDE

Cause: Type checking not running or stale types.

Solution:

# Run type checking
pnpm check

# Watch mode for continuous checking
pnpm check:watch

# Restart TypeScript server in VS Code
# Command Palette (Ctrl+Shift+P) -> "TypeScript: Restart TS Server"

# Regenerate Svelte types
npx svelte-kit sync

4. Tauri build fails

Cause: Missing Rust toolchain or system dependencies.

Solution:

# Check Rust installation
rustc --version
cargo --version

# Update Rust
rustup update

# Install Tauri system dependencies (Linux)
sudo apt-get update
sudo apt-get install -y \
  libwebkit2gtk-4.1-dev \
  libssl-dev \
  libayatana-appindicator3-dev \
  librsvg2-dev

# Clean and rebuild
cd src-tauri
cargo clean
cd ..
pnpm tauri build

5. "API endpoint not found" errors

Cause: DataForge or NeuroForge backend not running.

Solution:

# Check if DataForge is running
curl http://localhost:8001/health

# Start DataForge
cd ../DataForge
source venv/bin/activate
uvicorn app.main:app --port 8001

# Verify VibeForge API client config
cat src/lib/api/config.ts

# VibeForge works offline - backends are optional
# Check browser console for fallback messages

6. Wizard state lost on refresh

Cause: LocalStorage not persisting or disabled.

Solution:

# Check browser console for localStorage errors
# Enable localStorage in browser settings

# Check wizard store persistence
cat src/lib/stores/wizardStore.ts | grep localStorage

# Test localStorage manually in browser console:
# localStorage.setItem('test', 'value')
# localStorage.getItem('test')

7. Project generation creates empty directory

Cause: Tauri backend error or file permission issue.

Solution:

# Check Tauri logs
pnpm tauri dev
# Look for errors in terminal output

# Verify write permissions
ls -la ~/Projects
mkdir -p ~/Projects/test-project
touch ~/Projects/test-project/test.txt

# Check Rust backend logs
cat src-tauri/src/project_generator.rs

# Try different output directory
# Use wizard to select /tmp or another writable location

8. Theme not persisting across sessions

Cause: LocalStorage issue or theme store not initialized.

Solution:

# Check theme store
cat src/lib/stores/themeStore.ts

# Manually test in browser console:
# localStorage.setItem('vibeforge-theme', 'dark')
# location.reload()

# Clear localStorage and reset
# localStorage.clear()

9. Build succeeds but app won't run

Cause: Missing runtime dependencies or configuration errors.

Solution:

# Check build output
pnpm build
ls -la build/

# Preview build locally
pnpm preview

# Check for errors in browser console
# Inspect Network tab for failed requests

# Verify adapter config
cat svelte.config.js | grep adapter

10. Language/stack recommendations not working

Cause: API client not fetching data or backend unavailable.

Solution:

# VibeForge includes local fallback data
# Check local data files
cat src/lib/data/languages.ts
cat src/lib/data/stackProfiles.ts

# Verify API client
cat src/lib/api/languagesClient.ts

# Check browser console for:
# "Using local language data" (offline mode)
# "Fetched languages from API" (online mode)

# Test API directly
curl http://localhost:8000/api/v1/languages

11. Hot module reload (HMR) not working

Cause: Vite configuration or file watcher issue.

Solution:

# Increase file watcher limits (Linux)
echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf
sudo sysctl -p

# Restart dev server
pnpm dev

# Check Vite config
cat vite.config.ts | grep hmr

# Try with polling
pnpm dev --force

12. CSS not applying or Tailwind classes missing

Cause: Tailwind not properly configured or CSS not compiled.

Solution:

# Check Tailwind config
cat tailwind.config.cjs

# Verify PostCSS config
cat postcss.config.cjs

# Rebuild with clean cache
pnpm build --no-cache

# Check that app.css is imported
grep "import.*app.css" src/routes/+layout.svelte

# Verify Tailwind is processing
pnpm dev
# Check browser Network tab for app.css

πŸš€ Deployment

Static Site Deployment

Vercel:

# Install Vercel CLI
pnpm add -g vercel

# Deploy
vercel

# Production deployment
vercel --prod

Netlify:

# Install Netlify CLI
pnpm add -g netlify-cli

# Deploy
netlify deploy

# Production deployment
netlify deploy --prod

Build settings:

  • Build command: pnpm build
  • Publish directory: build
  • Node version: 20.x

Tauri Desktop App

Build for production:

# Build release version
pnpm tauri build

# Output locations:
# Linux: src-tauri/target/release/bundle/
# Windows: src-tauri/target/release/bundle/msi/
# macOS: src-tauri/target/release/bundle/dmg/

Code signing (macOS):

# Set environment variables
export APPLE_CERTIFICATE="Developer ID Application: Your Name (TEAM_ID)"
export APPLE_ID="[email protected]"
export APPLE_PASSWORD="app-specific-password"

# Build with signing
pnpm tauri build

Windows installer:

# Requires WiX Toolset
# Download from: https://wixtoolset.org/

pnpm tauri build
# Creates .msi installer in src-tauri/target/release/bundle/msi/

Docker Deployment (Web Version)

Dockerfile:

FROM node:20-slim as builder

WORKDIR /app
COPY package.json pnpm-lock.yaml ./
RUN npm install -g pnpm && pnpm install --frozen-lockfile

COPY . .
RUN pnpm build

FROM nginx:alpine
COPY --from=builder /app/build /usr/share/nginx/html
COPY nginx.conf /etc/nginx/nginx.conf

EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]

Build and run:

# Build image
docker build -t vibeforge:latest .

# Run container
docker run -d -p 80:80 vibeforge:latest

# Open browser
open http://localhost

πŸͺ§ Testing

# Type checking
pnpm check

# Manual testing
pnpm dev
# Navigate to http://localhost:5173
# Test features in browser

See TESTING.md for comprehensive testing procedures.


πŸ“¦ Project Structure

vibeforge/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ routes/              # SvelteKit pages (file-based routing)
β”‚   β”‚   β”œβ”€β”€ +page.svelte     # Main workbench
β”‚   β”‚   β”œβ”€β”€ contexts/        # Context library
β”‚   β”‚   β”œβ”€β”€ quick-run/       # Quick experiment mode
β”‚   β”‚   β”œβ”€β”€ history/         # Run history
β”‚   β”‚   β”œβ”€β”€ patterns/        # Prompt patterns
β”‚   β”‚   β”œβ”€β”€ presets/         # Saved configurations
β”‚   β”‚   β”œβ”€β”€ evals/           # Evaluations
β”‚   β”‚   β”œβ”€β”€ workspaces/      # Workspace management
β”‚   β”‚   └── settings/        # User preferences
β”‚   β”‚
β”‚   └── lib/
β”‚       β”œβ”€β”€ components/      # Reusable UI components
β”‚       β”œβ”€β”€ stores/          # Svelte state management
β”‚       └── types/           # TypeScript interfaces
β”‚
β”œβ”€β”€ static/                  # Static assets
β”œβ”€β”€ docs/                    # Archived documentation
└── [config files]

🀝 Contributing

We welcome contributions! Please see DEVELOPMENT.md for:

  • Code style guidelines
  • Component patterns
  • Store architecture
  • Testing requirements
  • Pull request process

πŸ“„ License (Freeware With Restrictions)

VibeForge is released as freeware by Boswell Digital Solutions LLC.

You May:

  • βœ… Download and use the official unmodified binaries for free
  • βœ… Redistribute the exact binaries
  • βœ… Use the software for personal, academic, or commercial development

You May Not:

  • ❌ Modify, decompile, reverse engineer, or extract code
  • ❌ Redistribute modified versions
  • ❌ Bundle VibeForge into SaaS or commercial tools
  • ❌ Use its design or workflow to create competing products
  • ❌ Train AI models on VibeForge's UI, workflows, or logic

Backend Services (Commercial)

All backend orchestration (NeuroForge) and data engines (DataForge) remain commercial property of Boswell Digital Solutions LLC. VibeForge connects to these commercial services for:

  • AI-powered recommendations
  • Learning data persistence
  • Success prediction analytics
  • Historical insights aggregation

Β© 2025 Boswell Digital Solutions LLC β€” All Rights Reserved.

Why Freeware?

VibeForge serves as the entry product to the Forge Ecosystem. It's free to use and introduces developers to:

  • Professional project automation
  • AI-powered development workflows
  • The power of adaptive learning systems
  • Integration with commercial Forge products (AuthorForge, TradeForge, etc.)

Commercial Products

For advanced features, consider:

  • AuthorForge (Commercial) - Genre-aware creative writing platform
  • TradeForge (Commercial) - Market intelligence and financial analysis
  • DataForge (Commercial) - Enterprise data engine with compliance automation
  • NeuroForge (Commercial) - Advanced LLM orchestration with champion selection

Contact: charlesboswell@boswelldigitalsolutions.com


  • DataForge - Knowledge base management with semantic search
  • AuthorForge - AI writing assistant
  • NeuroForge - Multi-model AI orchestration backend

Application URLs

API Endpoints

Documentation

Example Commands

Start Development:

cd /home/charles/projects/Coding2025/Forge/vibeforge
pnpm dev

Build Desktop App:

pnpm tauri build

Type Check:

pnpm check:watch

Test API:

curl http://localhost:8000/api/v1/languages | jq .

πŸ‘€ Support

For questions or issues:

  1. Check the documentation
  2. Review existing issues
  3. Open a new issue with details

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