AI-RULES is a rule-aware CLI for AI-assisted coding governance. It turns project rules in Markdown into structured rule metadata, lightweight local evidence, and deterministic audit/fix prompts so AI coding agents follow your architecture, design patterns, and UI standards more c. Use it as a repeatable review, validation or hardening pass.
Pattern Control - Define your patterns once, AI uses them forever ✋ Approval Gates - Review and approve before execution 🔁 Repeatable Results - Same patterns = Same quality code 📝 Editable Agents - Full control over AI behavior 👥 Team-Ready - Everyone uses t. Use it to build a structured path from fundamentals to hands-on practice.
A curation of awesome tools, documents and projects about LLM Security. Use it to navigate the topic and choose relevant methods, papers or tools.
The most comprehensive list of AI agents, frameworks, and tools in 2026. 340+ resources across 20+ categories. Updated monthly. Use it to navigate the topic and choose relevant methods, papers or tools.
A curated list of awesome Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that. Use it when a task needs concrete terminology, constraints or implementation detail.
Indexes any codebase into a knowledge graph — every dependency, call chain, cluster, and execution flow — then exposes it through smart MCP tools so AI agents never miss code. Use it to ground design choices in named patterns, trade-offs and examples.
A curated reference on agent design & orchestration centered on AgentBench. Use it to navigate the topic and choose relevant methods, papers or tools.
This repository uses a Core/Library split to ensure efficiency and high-signal discovery for LLMs:. Use it to build a structured path from fundamentals to hands-on practice.
This repository serves as a comprehensive resource for learning, building, and sharing prompt engineering techniques, ranging from basic concepts to a. Use it as a repeatable review, validation or hardening pass.
Note that this list is continuously updating and improving. Please. Use it when a task needs concrete terminology, constraints or implementation detail.
AI-RULES is a rule-aware CLI for AI-assisted coding governance. It turns project rules in Markdown into structured rule metadata, lightweight local evidence, and deterministic audit/fix prompts so AI coding agents follow your architecture, design patterns, and UI standards more c. Use it as a repeatable review, validation or hardening pass.
Pattern Control - Define your patterns once, AI uses them forever ✋ Approval Gates - Review and approve before execution 🔁 Repeatable Results - Same patterns = Same quality code 📝 Editable Agents - Full control over AI behavior 👥 Team-Ready - Everyone uses t. Use it to build a structured path from fundamentals to hands-on practice.
A curation of awesome tools, documents and projects about LLM Security. Use it to navigate the topic and choose relevant methods, papers or tools.
The most comprehensive list of AI agents, frameworks, and tools in 2026. 340+ resources across 20+ categories. Updated monthly. Use it to navigate the topic and choose relevant methods, papers or tools.
A curated list of awesome Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that. Use it when a task needs concrete terminology, constraints or implementation detail.
Indexes any codebase into a knowledge graph — every dependency, call chain, cluster, and execution flow — then exposes it through smart MCP tools so AI agents never miss code. Use it to ground design choices in named patterns, trade-offs and examples.
A curated reference on agent design & orchestration centered on AgentBench. Use it to navigate the topic and choose relevant methods, papers or tools.
This repository uses a Core/Library split to ensure efficiency and high-signal discovery for LLMs:. Use it to build a structured path from fundamentals to hands-on practice.
This repository serves as a comprehensive resource for learning, building, and sharing prompt engineering techniques, ranging from basic concepts to a. Use it as a repeatable review, validation or hardening pass.
Note that this list is continuously updating and improving. Please. Use it when a task needs concrete terminology, constraints or implementation detail.