An intelligent AI agent that creates complete frontend websites through natural language commands using Google's Gemini AI.
- 🤖 AI-Powered: Uses Google Gemini 2.5 Flash for intelligent website generation
- 🛠️ Dual Tools: Terminal commands + Direct file writing capabilities
- 💻 Cross-Platform: Works on Windows, macOS, and Linux
- 📁 Smart Structure: Automatically creates folders and organized file structures
- 🎨 Complete Websites: Generates HTML, CSS, and JavaScript files
- 🔄 Interactive: Continuous conversation loop for iterative development
Their core job is to:
- Understand your request (natural language or partial code)
- Collect project context (files, structure, errors, dependencies, cursor location)
- Ask the LLM for step-by-step instructions (it gives instruction to tools and github/cursor tools handles our local files)
- Run those instructions through editor-integrated tools
- Reflect the changes instantly in your project
Ask me anything--> create calculator app
// Step 1: AI analyzes request
"User wants calculator app, I need to create folder and files"
// Step 2: Execute folder creation
{ name: "executeCommand", args: { command: "mkdir calculator" } }
✅ Success: Folder created
// Step 3: Write HTML file
{ name: "writeFile", args: {
path: "calculator/index.html",
content: "<!DOCTYPE html>..."
}}
✅ File written successfully: calculator/index.html
// Step 4: Write CSS file
{ name: "writeFile", args: {
path: "calculator/style.css",
content: "* { box-sizing: border-box; }..."
}}
✅ File written successfully: calculator/style.css
// Step 5: Write JavaScript file
{ name: "writeFile", args: {
path: "calculator/script.js",
content: "const calculator = { displayValue: '0'... }"
}}
✅ File written successfully: calculator/script.js
// Final Response
"Calculator app created successfully! ✅
Files generated:
- calculator/index.html (Calculator UI)
- calculator/style.css (Modern styling)
- calculator/script.js (Full functionality)"calculator/
├── index.html # Complete calculator interface
├── style.css # Grid layout + hover effects
└── script.js # Working calculator logic
Real implementation example is in index.js file ⚡
You either:
- Type a natural language request ("Create a login form")
- Start writing code and trigger suggestions
- Ask for a refactor or bug fix
The agent collects relevant information:
- Current file content
- Other files in the project (folder tree, configs, related modules)
- Cursor position
- Error logs / terminal output (if relevant)
- Git history or recent edits
This context ensures the LLM understands your full development state.
The gathered context + your request is sent to the LLM (e.g., GPT, Gemini, Claude). The prompt might look like:
{
"activeFile": "src/App.js",
"cursorPosition": 128,
"openFiles": ["src/App.js", "src/components/Header.js"],
"folderStructure": ["src/", "public/", "package.json"],
"userQuery": "Add a signup form with email validation"
}Instead of only returning plain text, the LLM can return structured commands like:
[
{ "action": "create_file", "path": "src/components/SignupForm.js", "content": "<JSX code here>" },
{ "action": "update_file", "path": "src/App.js", "changes": "import SignupForm and render it" }
]The agent has access to special editor tools:
- File writer → create/edit/delete files
- Search/replace → modify specific lines
- Run commands → execute build/test scripts
It takes the LLM’s commands and executes them locally.
You instantly see:
- New files created
- Existing files updated
- Errors resolved (if applicable)
- Code inserted at the right place
The magic comes from the tight loop between:
- LLM reasoning → Plans changes
- Tool execution → Applies them instantly
- Real-time feedback → Updates context for the next LLM call
This loop continues until your task is complete — without you manually creating files or copy-pasting code.
- Agent = LLM + Context Gathering + Tool Execution
- GitHub Copilot & Cursor can read your entire project state
- They return not just text but commands that the editor executes
- All changes happen locally, inside your current workspace