Results for “data-race-safety”

Audits Rust codebases for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes.

AI safety and responsible AI practices

Enforce idiomatic Rust patterns for ownership, error handling, enums, traits, concurrency, and best practices to build safe, performant applications.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Race condition and TOCTOU testing for web apps. Use when testing one-time operations, concurrent HTTP abuse, rate-limit bypass, Turbo Intruder gates, HTTP/2 single-packet attacks, and CWE-362-style synchronization gaps.

Hardens Laravel applications against common vulnerabilities with guidance on authentication, authorization, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Guides writing idiomatic Rust with ownership, error handling, traits, concurrency, and best practices for safe, performant code.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

地道的Rust模式、所有权、错误处理、特质、并发，以及构建安全、高性能应用程序的最佳实践。

Provides safe, reversible database schema change patterns for PostgreSQL, MySQL, and common ORMs, with guidance on zero-downtime deployments, rollbacks, and migration tooling.

Hardens Django applications against common vulnerabilities with production settings, authentication, authorization, SQL injection and XSS prevention, and secure deployment configurations.

Persists app data on Android using Room, SQLite, SharedPreferences, DataStore, and encryption.

Adopt Swift 6.2's concurrency model with patterns for MainActor isolation, isolated conformances, and explicit background offloading to eliminate data-race errors.

Implements secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common vulnerabilities.

Use this skill when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspection violations, crash records, or other entries that appear in a carrier's CSA / SMS score. Covers Request for Data Review (RDR) process, success rates, common dispute grounds, what evidence to attach, timeline expectations, and how successful disputes reduce BSI (BASIC Severity Indicator) scores. Cite 49 CFR 392.7 and the FMCSA DataQs User Guide.

Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.

Language-specific super-code guidelines for dart.