Search Results for "claw-code"
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Showing 2 open source projects for "claw-code"
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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lua-language-server
A language server that offers Lua language support - programmed in Lua
The Lua language server provides various language features for Lua to make development easier and faster. With around half a million installs on Visual Studio Code, it is the most popular extension for Lua language support. The language server can be installed for use in Visual Studio Code, NeoVim, and any other clients that support the Language Server Protocol. The language server can be configured using a configuration file. The language server and Visual Studio Code client can be installed from the VS Code Marketplace. ... -
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ALE
Check syntax in Vim/Neovim asynchronously and fix files
...The project focuses on breadth and practicality: dozens of languages work out of the box, and configuration is usually a matter of selecting tools you already use on the command line. ALE can also act as a lightweight Language Server Protocol client, providing go-to-definition, hover, and code actions through LSP servers when available. Its fix-on-save pipelines and formatter integration help enforce team style guides reliably and repeatably. For large codebases and slower linters, ALE’s job queueing and smart debouncing prevent UI hiccups while still surfacing timely results.
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