Rust & Axum OpenAI Custom Instructions

Production-grade architectural rulebook for Rust & Axum. Engineered to eliminate LLM hallucinations, enforce strict deterministic conventions, and prevent architectural drift across Cursor IDE, Claude Code CLI, and autonomous multi-agent pipelines.

Target Path
prompts/openai-custom-instructions.md
Execution Scope
Project Context
Specification Format
Markdown / Config
AI Tool Support
Universal AI Assistants
02 / DRIFT ANALYSIS & VALUE PROPOSITION

Failure Patterns Prevented for Rust & Axum

Without This Rule (Default LLM Behavior)Vulnerable

Rust async borrow checker rules and Axum extractor ordering can confuse LLMs. These rules enforce proper State injection, custom error enums with `IntoResponse`, and minimal unwrap() usage.

Hallucination Symptoms
  • Invokes deprecated or removed APIs from older model training weights
  • Generates conflicting configuration files and invalid imports
  • Silently drops type-safety, boundaries, or transaction isolation
With This Rule (Guaranteed Invariants)Deterministic
Never call `.unwrap()` or `.expect()` in production route handlers; propagate errors via `Result<T, AppError>`.
Implement `IntoResponse` on custom application error enums with appropriate HTTP status codes.
Use `State(app_state)` extractors for shared database pools and configurations.
Keep Axum handlers strongly typed with `Json<T>` and `Path<T>` extractors.
04 / REPOSITORY PLACEMENT & 3-STEP TERMINAL INSTALLATION

How to Install Rust & Axum OpenAI Custom Instructions via Terminal

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Step 1: Open Project Directory & Verify Target Placement

Open your terminal and navigate to your project root folder where the prompts/openai-custom-instructions.md file will reside. Ensure the file is placed at the exact path below relative to your project root so the AI engine automatically loads it:

prompts/openai-custom-instructions.md
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Step 2: Fetch Rule File via Terminal Command

Run curl, PowerShell, or wget to stream the rule directly from the DevScratchpad raw API endpoint and write it to prompts/openai-custom-instructions.md:

Terminal One-Liner Install

Run directly in your project root to stream and write this rule file with one command.

Raw API Stream
$mkdir -p "prompts" && curl -fsSL "https://www.devscratchpad.tech/api/raw/openai-instructions/rust-axum" -o "prompts/openai-custom-instructions.md"
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Step 3: Verify and Activate with AI Agent

Launch your AI coding assistant (Universal AI Assistants). The assistant will automatically discover prompts/openai-custom-instructions.md in your repository and apply the architectural guardrails, type constraints, and verification protocols during code generation.

05 / ROUTE DIRECTORY & CROSS-TOOLING
Format Pillar HubComprehensive Manual

OpenAI Custom Instructions & System Prompts

Inspect the complete specification manual, glob patterns, directory rules, and all available presets in our central directory.

/openai-instructions Directory
06 / RECOMMENDED OFFLINE DEVELOPER TOOLS

Pair With Rust & Axum Client-Side Utilities

100% private, browser-based utilities to test, format, and inspect code generated by your AI rules.

View All 28 Tools

Migrating from Legacy .cursorrules or CLAUDE.md?

Use our free, offline converter to transform monolithic rulebooks into modular Cursor .mdc, Claude SKILL.md, and Windsurf Cascade rules.

Convert Rules Free →
07 / FREQUENTLY ASKED QUESTIONS

Technical FAQ: Rust & Axum AI Rulebooks

Does this rule forbid unwrap()?

Yes! Production code paths are strictly constrained to proper Result propagation.