This project is a language extension for VS Code that provides comprehensive Go language support. It functions as a language server client, a debugger interface, and a toolchain manager to facilitate Go application development. The extension distinguishes itself by integrating a full suite of toolchain management capabilities, allowing for the installation and configuration of required binaries, linters, and compiler versions directly within the editor. It also provides deep integration for interactive debugging via Delve, supporting remote target debugging, process attachment, and program st
Raddebugger is a native Windows x64 debugger that also functions as a high-speed PE/COFF linker and a PDB/DWARF debug information converter. It combines these three capabilities into a single development tool aimed at inspecting and controlling native x64 Windows applications, with the ability to attach to multiple processes simultaneously within one session. The debugger is built around a custom binary debug format that converts standard PDB and DWARF symbols into a compact representation for fast loading and minimal memory overhead. It includes a fuzzy symbol search engine for locating func
nvim-dap is a Neovim plugin that serves as a client implementation of the Debug Adapter Protocol. It provides a language-agnostic debugger interface that integrates external debugger binaries into the editor, allowing users to manage breakpoints and step through code. The project enables remote process debugging by attaching to running processes or containerized applications via TCP sockets and network proxies. It supports connecting to debug adapters through standard input/output or TCP, with specialized support for launching and attaching to Java processes. The plugin covers program execut
This repository contains the comprehensive documentation for a code editor focused on AI-assisted software development and remote development workflows. It covers the implementation of AI agents and language models used for autonomous code generation, large-scale refactoring, and task iteration. The project is distinguished by its deep integration of autonomous AI agents capable of web navigation, application logic validation, and orchestrating multi-step development processes. It provides specialized frameworks for tailoring AI behavior through custom instructions, model context protocols, a