Showing 3 open source projects for "semantic"

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    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 1
    VT Code

    VT Code

    VT Code - semantic AI coding agent

    VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. ...
    Downloads: 5 This Week
    Last Update:
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  • 2
    ecode

    ecode

    Lightweight multi-platform code editor designed for modern hardware

    ecode is a lightweight multi-platform code editor designed for modern hardware with a focus on responsiveness and performance. It has been developed with the hardware-accelerated eepp GUI, which provides the core technology for the editor. The project comes as the first serious project using the eepp GUI, and it's currently being developed to improve the eepp GUI library as part of one of its main objectives.
    Downloads: 18 This Week
    Last Update:
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  • 3
    Language Server Protocol

    Language Server Protocol

    Defines a common protocol for language servers

    The Language Server Protocol (LSP) is a specification that standardizes how editors and IDEs communicate with language-smart backends over JSON-RPC. It defines capabilities such as completion, hover information, signature help, go-to definition, find references, diagnostics, code actions, formatting, rename, semantic tokens, and more. By decoupling tooling from individual editors, a single language server can power multiple clients, dramatically reducing duplicated effort across ecosystems. The protocol negotiates capabilities at startup so clients and servers can evolve independently while maintaining compatibility. Extensions and proposals cover advanced scenarios—like call hierarchies, inlay hints, notebooks, and workspace symbols—allowing incremental adoption as needs grow. ...
    Downloads: 0 This Week
    Last Update:
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