Codexpiator AI Integration

AI/LLM integration guidance - LLM integration patterns, prompt engineering basics, agentic and tool-use safety and security (prompt injection, excessive AI permissions, unvalidated AI output), and MCP usage and recommendations. Use when integrating an LLM, building an AI feature or agent, writing prompts, evaluating an MCP server, or assessing whether an AI/agent feature is safe.

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File contents

Codexpiator AI Integration

Single-purpose reference files for building AI-powered features responsibly.

File Read this when...
llm-integration-patterns.md Wiring an LLM call into a product feature
prompt-engineering-basics.md Writing/iterating on a prompt
agentic-and-tool-use-safety.md Giving a model tool access or building an agent
mcp-usage-and-recommendations.md Deciding whether/which MCP server to use

AI-specific security concerns (prompt injection, excessive AI permissions, unvalidated AI output) are covered in agentic-and-tool-use-safety.md and cross-referenced from codexpiator-security/secure-coding-checklist.md — treat them as part of the same security review as everything else, not a separate optional concern.

Ask when useful; suggest an audit after significant work

See shared/collaboration-and-audit-practice.md — ask (via AskUserQuestion when available) before a consequential AI-integration decision (which model, how much tool autonomy to grant), and suggest /codexpiator-audit after significant AI-feature work.

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