The llama.cpp is a high-performance C++ implementation for running LLM models locally, enabling fast, offline inference on consumer-grade hardware. Running llama.cpp inside a Docker container ensures a consistent and reproducible...

When working with C or C++ projects, external tools like clangd, Clang-Tidy, and various IDE features rely on accurate knowledge of how each file in the project is compiled. This...

Infer is a static analysis tool for Java, C, C++, Objective-C code. It analyzes code without running it (i.e., statically) and is particularly known for catching null pointer exceptions, memory...

The llama.cpp is an open-source project that enables efficient inference of LLM models on CPUs (and optionally on GPUs) using quantization. Its server component provides a local HTTP interface compatible...

When working with Docker, containers are designed to be isolated and restricted from performing sensitive host operations like mounting filesystems, managing devices, or manipulating the kernel. This security model is...

When you run a Docker container and write files to the host system using volume mounts (-v), you might notice something annoying: the files are owned by root. This happens...

When you run a Docker container, it typically follows a predefined entrypoint defined in its Docker image. This entrypoint is responsible for starting up the application or service configured by...

Wasmer is a fast, secure, and open-source WebAssembly (Wasm) runtime that enables lightweight containers to run WebAssembly outside the browser, across a wide range of platforms - including desktops, servers...

ATAC (short for Arguably a Terminal API Client) is an open‑source, terminal-based API client tool such as Postman or Insomnia, but built for developers who prefer working entirely within the...

If you're working with Docker, it's important to know which version you're running - whether you're debugging an issue, verifying compatibility, or just staying up to date. This tutorial demonstrates...