Search Results for "visual code studio"

This project provides a small executable that forwards all arguments to git running inside Bash on Windows/Windows Subsystem for Linux (WSL). Use Git installed in Bash on Windows/Windows Subsystem for Linux (WSL) from Windows and Visual Studio Code (VSCode) The primary reason for this tool is to make the Git plugin in Visual Studio Code (VSCode) work with the git command installed in WSL. For these two to interoperate, this tool translates paths between the Windows (C:\Foo\Bar) and Linux (/mnt/c/Foo/Bar) representations. The install.bat script creates a folder structure similar to the one used by Git For Windows, and creates some useful symbolic links in the wslgit\cmd and wslgit\bin folders. ...

...It’s meant to provide the benefits of running your service on a cloud environment (e.g. staging) without actually going through the hassle of deploying it there, and without disrupting the environment by deploying untested code. It comes as a Visual Studio Code extension, an IntelliJ plugin, and a CLI tool.

Vibe Kanban is an open-source, self-hosted orchestration and workflow platform designed to help developers manage and coordinate the work of AI coding agents using a visual Kanban-style interface rather than juggling terminals and logs. As AI agents such as Claude Code, Gemini CLI, Codex, and others are increasingly used to generate and update code autonomously, developers often end up spending more time monitoring and sequencing these agents than writing or reviewing meaningful work. Vibe Kanban tackles this by enabling users to define tasks as cards on a board, assign those tasks to one or more coding agents, and then track progress and outcomes as each agent executes in the background with its own isolated workspace. ...

LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop...

Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows.

Gitlogue provides a fun and creative command-line tool that turns your Git commit history into an animated replay, displaying your commits as if someone were typing the changes in real time with cinematic flair. When you run this tool in the terminal, it visually replays diffs line by line, highlights syntax, and shows changes evolving in a way that feels like watching a code story unfold, which can be entertaining and useful for reviewing history or showcasing progress. It builds on typical Git data but reshapes it into a compelling narrative with visual appeal, making it great for demos, teaching, or just savoring your development journey. The tool is standalone and designed to be easy to install and run, so users don’t need complex setups to enjoy animated commit histories. ...

A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already...

Alabaster is a light Visual Studio Code theme that intentionally minimizes syntax highlighting to keep code calm and readable. Instead of coloring every token category, it highlights just a small set of classes like strings, statically known constants, comments, and global definitions. Standard language keywords are deliberately left uncolored under the philosophy that they are obvious and draw unnecessary attention.