LibAFL is a modular fuzzing library for building custom fuzzers. Use for advanced fuzzing needs, custom mutators, or non-standard fuzzing targets.

Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.

AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.

Set up comprehensive observability for Langfuse with metrics, dashboards, and alerts. Use when implementing monitoring for LLM operations, setting up dashboards, or configuring alerting for Langfuse integration health. Trigger with phrases like "langfuse monitoring", "langfuse metrics", "langfuse observability", "monitor langfuse", "langfuse alerts", "langfuse dashboard".

Configure Langfuse across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment keys, or implementing environment-specific Langfuse configurations. Trigger with phrases like "langfuse environments", "langfuse staging", "langfuse dev prod", "langfuse environment setup", "langfuse config by env".

Configure Langfuse enterprise organization management and access control. Use when implementing team access controls, configuring organization settings, or setting up role-based permissions for Langfuse projects. Trigger with phrases like "langfuse RBAC", "langfuse teams", "langfuse organization", "langfuse access control", "langfuse permissions".

Manage Langfuse data export, retention, and compliance requirements. Use when exporting trace data, configuring retention policies, or implementing data compliance for LLM observability. Trigger with phrases like "langfuse data export", "langfuse retention", "langfuse GDPR", "langfuse compliance", "export langfuse traces".

Implement LangChain callback and event handling for webhooks. Use when integrating with external systems, implementing streaming, or building event-driven LangChain applications. Trigger with phrases like "langchain callbacks", "langchain webhooks", "langchain events", "langchain streaming", "callback handler".

Apply LangChain security best practices for production. Use when securing API keys, preventing prompt injection, or implementing safe LLM interactions. Trigger with phrases like "langchain security", "langchain API key safety", "prompt injection", "langchain secrets", "secure langchain".