User-Level CLAUDE.md - ML/LLM Engineering & Agentic AI Systems
This file contains specialized instructions for Claude Code when working with Machine Learning, LLM engineering, and Agentic AI systems.
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This file contains specialized instructions for Claude Code when working with Machine Learning, LLM engineering, and Agentic AI systems.
Distributed speculative decoding: a **draft node** (small model, local GPU) generates candidate tokens, a **target node** (large model, Modal cloud GPU) verifies them.
**Purpose:** Persistent memory for Claude / Claude Code. Read this at the start of every session.
Guidance for Claude Code (claude.ai/code) working in this repository.
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
雙峰祭オンラインシステム(sos26)- 筑波大学学園祭のためのフルスタックWebアプリケーション
These rules are specific to the `llm/ollama` module and supplement `general.cursorrules`. Always adhere to `general.cursorrules` unless explicitly overridden here for a specific reason pertinent to this module.
These are the general guiding principles for AI-assisted development across the entire Codomyrmex project. Module-specific rules (e.g., in `modules/ai_code_editing.cursorrules`) may supplement or, in rare, justified cases, override these general rules. If a module-specific rule conflicts, it should
suitable for professional or creative publication.
starting with a greeting and ending with a sign-off.
complementary therapies
safe
provide general observations about code complexity (e.g.
frameworks
technical
# **Prompt for Code Analysis and System Documentation Generation**
organizing it into a well-structured Markdown document:
representative code snippets**.
Datadog
Swagger/OpenAPI
additional databases
`main.go`
including versions when detectable (e.g.
MongoDB