agent-native-architecture

You can build autonomous agents by defining functionality through system prompts instead of code. Prompt-native architecture requires only primitive tool definitions and a system prompt, eliminating complex codebases and allowing rapid iteration.

Prompt-native architecture is an approach where agents define functionality through prompts rather than code. It replaces code-based features with prompt-defined outcomes, letting agents decide how to achieve desired results autonomously.

You can create an MCP server by designing prompt-native agents that use simple read, write, and list tools. This provides agent capability without embedding business logic, enabling rapid MCP server construction.

Yes, prompt-native architecture enables self-modifying agents to evolve their own code, prompts, and deployment pipelines safely. This is achieved by trusting the agent's intelligence within the prompt-defined outcome framework.

No, you do not need complex dependencies. The architecture requires only primitive tool definitions and a system prompt to design self-modifying systems across any development workflow.

The best way is providing simple read and write tools that give agents capability without embedding business logic. This prompt-native approach allows autonomous assistants to decide how to achieve outcomes.