Cursor AI (.cursorrules) for High-Performance Rust & Tokio Microservices
Designed for systems programmers and backend engineers tired of Cursor generating unidiomatic clones, lifetime bugs, or unneeded Arc<Mutex<T>> wrapping.
Parametric Customizer & Compiler Live Tool
Adjust the variables below. The prompt code and API payload update dynamically in real time.
The core HTTP/RPC framework in use.
Act as a Principal Rust Systems Architect. Formulate an uncompromising `.cursorrules` configuration file for a high-throughput async microservice built with Axum 0.8 + Tower + Tokio 1.40 and Tokio. The rules must explicitly instruct Cursor to: 1) Enforce strict zero-cost abstractions, avoiding unnecessary heap allocations and `.clone()` calls, 2) Use `thiserror` for internal domain errors and `anyhow` solely in top-level main binary handlers, 3) Mandate structured logging with `tracing` spans on all public async endpoints, 4) Avoid unconstrained `Arc<Mutex<T>>` in favor of lock-free atomics, channels, or reader-writer locks (`tokio::sync::RwLock`), 5) Include strict linter clippy rules and architectural folder layout directives.
Direct Cursor AI with zero-cost Rust rules.
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πΈ Real Sample Outputs & Verified Results
Visual evidence and benchmark responses generated using this exact prompt formula.
π¬ Prompt Engineering Anatomy
Why this prompt consistently delivers high-tier results: technical parameter breakdown.
Mutex Across Await Boundary Prevention Holding standard library blocking locks across async yield points deadlocks Tokio thread pools.
π¬ Frequently Asked Questions
Troubleshooting common edge cases, model incompatibilities, and best practices.
Where should this file be placed in a cargo workspace?
At the root of the Git repository as `.cursorrules`, which Cursor loads into context on every chat and inline edit.
Cursor AI & Claude 3.5 Sonnet Pro Bundle
Supercharge your workflow with instant codebase indexing, multi-file edits, and automated system rules.
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