Core Concepts
Learn the key concepts used in Kilo Code
Concept | Description | Video Preview |
---|---|---|
Provider | Kilo Code provides its own built-in API provider that gives you access to the latest frontier coding models without the need to manage API keys that offers access to frontier models such as: OpenAI (GPT-5), Anthropic (Claude), Google (Gemini), Meta (Llama) etc. | |
Foundational Models | Large-scale AI models trained on vast datasets that serve as the base for AI applications. Models like GPT, Claude, LLaMA provide core language understanding and generation capabilities. | |
Prompt Engineering | Art and science of crafting effective inputs for AI models to achieve desired outputs. Use enhance button to improve your prompt | |
Modes | Within Kilo Code you can choose Architect mode to plan and design you software, Code mode to write and refactor code, Ask to understand your codebase, Debug to fix software issues and Orchestrator to coordinate tasks accross modes | |
Codebase Indexing | Codebase Indexing enables semantic code search across your entire project using AI embeddings. | |
MCP (Model Context Protocol) | Standardized protocol for managing context and communication between AI models and external systems. Enables seamless integration with tools, databases, and services. |