Awesome GitHub RepositoriesPer-Task Indirect Reference Isolations

CppGuide is a curated collection of educational resources and practical guides focused on C++ server development, Linux kernel internals, concurrent programming, network protocols, and security exploitation. It provides structured learning paths for backend developers, covering everything from interview preparation to building high-performance network servers and understanding operating system fundamentals. The guide distinguishes itself by offering in-depth, hands-on tutorials that walk through real-world implementations, including building a Redis-like server from scratch, designing custom

Dayflow is a privacy-focused productivity tool that records screen activity locally and analyzes it with on-device AI. It captures screen frames at one frame per second, stores everything in a local database, and processes all analysis entirely on the machine to keep data private. The system builds a searchable timeline of work activity and enables natural-language queries about past screen time. The tool distinguishes itself by offering runtime switching between local AI models and cloud providers, allowing users to balance accuracy, privacy, and performance. It automatically runs AI inferen

Piscina is a Node.js worker thread pool that runs CPU-intensive JavaScript functions across multiple threads for parallel execution. It manages a dynamic pool of worker threads with configurable size, handling task submission, cancellation, and lifecycle management through a promise-based interface. The pool supports AbortController-based task cancellation, enabling clean termination of submitted or running tasks without disrupting other work. It enforces per-worker memory limits through V8 resource caps and applies backpressure with a configurable maximum queue size that emits a drain event

nextest is a high-performance test execution framework and Rust test runner designed to manage parallelism, retries, and timeouts. It serves as a test recording system that captures execution metadata and outputs into archives for later failure analysis and replay. The project distinguishes itself as a flakiness detection tool, identifying unstable tests through stress loops and automated retry policies. It also functions as a CI test orchestrator, capable of partitioning test suites across multiple workers and exporting results in standardized JUnit XML and JSON formats. The framework provi