What is KiloCode?

KiloCode represents the next generation of AI-enhanced development tools, offering a comprehensive VS Code extension that seamlessly integrates advanced features from industry-leading solutions like Cline and Roo Code. The platform features four specialized AI-powered modes: Orchestrator for project decomposition, Architect for solution design, Code for implementation, and Debug for issue resolution. Distinguished by its holistic approach, KiloCode delivers an integrated AI development environment with smart file management, automated web interactions, intelligent terminal operations, and MCP server integration. The platform offers transparent pricing with $20 in complementary credits for state-of-the-art AI models including Claude 4 Sonnet and Gemini 2.5 Pro, while supporting local model deployment.

Key Features

AI-Powered Development Suite

A unified ecosystem of intelligent tools managing files, browser automation, terminal operations, and MCP server connections, delivering unprecedented control over your development environment.

Adaptive Multi-Mode Intelligence

Four specialized AI modes (Orchestrator, Architect, Code, Debug) plus customizable configurations, providing targeted support for diverse development scenarios and workflows.

Open-Source Architecture

Fully transparent codebase promoting community collaboration, eliminating vendor dependencies, and enabling complete customization of your development setup.

Cost-Efficient AI Integration

Direct pricing model with no additional markups, featuring $20 in initial credits and flexibility to use local models or custom API configurations.

Advanced MCP Integration

Seamless connectivity with the Model Context Protocol ecosystem, expanding capabilities beyond traditional coding assistance.

Use Cases

AI-Assisted Prototyping: Rapidly generate functional applications from natural language descriptions, including full-stack web solutions with UI and backend logic.

Intelligent Project Architecture: Leverage AI-powered Orchestrator and Architect modes to efficiently break down complex projects and create detailed technical blueprints.

Smart Debugging & Optimization: Utilize AI-driven debugging to identify issues, receive intelligent refactoring suggestions, and optimize code quality automatically.

Automated Web Testing: Implement AI-enhanced browser testing for web applications, reducing manual effort while increasing test coverage and reliability.

AI-Driven Documentation: Automate comprehensive documentation and test case generation, maintaining high-quality standards throughout the development cycle.