📄️ Web Chat Interfaces
The simplest way to deploy a security prompt is to paste it directly into the system prompt or custom instructions of a frontier model's web interface. This gives you immediate security guidance with zero infrastructure.
📄️ IDE Integrations
Most modern IDEs ship with AI coding assistants that support custom instructions or system prompts. Configuring these with a security prompt means chat suggestions, agent edits, and refactoring proposals follow secure coding practices.
📄️ AI Coding Agents
AI coding agents operate autonomously — reading files, running commands, and making multi-file changes. Because they take more independent action than chat-based assistants, embedding security prompts into their configuration is especially important.
📄️ Claude Code
Setup
📄️ API and Programmatic Usage
For automated workflows, CI/CD pipelines, and custom applications, you can deploy security prompts programmatically through LLM provider APIs. This gives you full control over prompt versioning, model selection, and runtime behavior.
📄️ Retrieval-Augmented Generation (RAG)
If your application retrieves your own context at query time, such as internal coding standards or past security findings, send it alongside the Manicode prompt. Keep the prompt in charge:
📄️ Team and Enterprise Deployment
Commit Prompts to Your Repository
📄️ Enterprise Rollout Guide
Plan and execute an organization-wide rollout of Manicode code security prompts.