Expert Rust Code Review for AI-Built Apps
Rust is used for performance-critical systems, CLIs, and WebAssembly. AI tools struggle with Rust's ownership model and borrow checker, often generating code that compiles but uses excessive cloning, unsafe blocks, and inefficient patterns.
Common Rust issues we find
Real problems from Rust codebases we've reviewed.
Excessive .clone() usage
AI tools clone data everywhere to satisfy the borrow checker instead of using references, lifetimes, or Cow — defeating Rust's zero-cost abstraction goals.
Unnecessary unsafe blocks
Using unsafe to bypass compiler checks rather than restructuring code to work within safe Rust, introducing memory safety vulnerabilities.
Improper error handling with unwrap()
Calling .unwrap() and .expect() on Result and Option types instead of proper error propagation with ? operator, causing panics in production.
Blocking in async contexts
Using std::thread::sleep, synchronous I/O, or blocking mutex locks inside async functions, starving the Tokio runtime of worker threads.
Missing Send + Sync bounds
Types shared across threads without proper trait bounds, causing compilation errors or runtime panics when moving data between async tasks.
Rust production checklist
Key checks before deploying your Rust app.
No unnecessary .clone() calls (use references or Cow)
Zero unsafe blocks unless absolutely justified and documented
Proper error propagation with ? and custom error types
No blocking operations in async contexts
Cargo.toml dependencies pinned to specific versions
Release profile optimized (opt-level, LTO, codegen-units)
Clippy lints passing with no warnings
Integration tests for critical paths
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Our Rust services
Security Review
Deep security analysis of your application — from API endpoints to database access.
Fix Bugs
We diagnose and fix bugs in AI-generated apps — from mysterious crashes to features that just don't work right.
Refactor Code
Clean up messy, duplicated, and hard-to-maintain code without breaking what already works.
Performance
Identify and fix performance bottlenecks — slow page loads, laggy interactions, and expensive operations.
AI tools that generate Rust code
Start with a self-serve audit
Get a professional review of your Rust project at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can AI tools write good Rust code?
AI tools produce Rust that compiles but often fights the language — excessive cloning, unnecessary unsafe, and poor async patterns. A review restructures it to be idiomatic and performant.
Why does my AI-generated Rust code use so much .clone()?
AI tools clone to quickly satisfy the borrow checker. We restructure your code to use proper lifetimes, references, and ownership patterns — improving both performance and code clarity.
Can you optimize my Rust application's performance?
Yes. We eliminate unnecessary allocations, optimize async patterns, configure release build profiles, and benchmark critical paths to ensure peak performance.
Related resources
Need help with your Rust project?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.