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Source channel @githubtrending · Post #15032 · Aug 6

#elixir#debug_adapter_protocol#elixir#language_server#language_server_protocol#lsp ElixirLS is a tool that helps you write and debug Elixir code more easily by providing features like code completion, go-to-definition, inline error reporting, and a powerful debugger that supports breakpoints and step-through debugging. It works with many editors and IDEs through standard protocols, making it flexible to use. It also integrates Dialyzer for static code analysis to catch bugs early and offers a server that helps AI tools understand your code better. Using ElixirLS speeds up development, improves code quality, and makes debugging simpler and more efficient. It supports recent Elixir and OTP versions and can be customized for your project needs. https://github.com/elixir-lsp/elixir-ls

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Посольство России в Индии

@RusEmbIndia_Ru · Post #14913 · 04/14/2026, 08:01 AM

Дорогие друзья! 📚 Русский дом в Нью-Дели приглашает вас принять участие в международной исторической акции «Диктант Победы». 📆 Ждем Вас 24 апреля в 12:00. 🔗 Язык диктанта - русский и английский. 🏢 Место проведения: Русский дом в Нью-Дели. 📍Адрес: 24, Фироз Шах Роуд, г. Нью-Дели. ✅ Вход для посетителей мероприятия - свободный. 🔗При себе необходимо обязательно иметь ID-карту (на бумажном носителе). 💎 Не упустите возможность стать частью важного события! Ждем Вас! #РусскийДом#Диктант#Индия Dear friends! 📚 The Russian House in New Delhi invites you to participate in the international historical campaign "Victory Dictation." 📆 We look forward to seeing you on April 24 at 12:00 p.m. 🔗 The language of the dictation is Russian and English. 🏢 Venue: Russian House in New Delhi. 📍Address: 24, Firoz Shah Road, New Delhi. ✅ Entrance for visitors to the dictation is free. 💎 Don't miss the opportunity to become part of an important event! We are waiting for you! #RussianHouse#Dictation#India

Libreware

@libreware · Post #1477 · 08/07/2025, 03:49 AM

WhisperTux Simple #voice#dictation application for #Linux. Uses whisper.cpp for offline speech-to-text transcription. No fancy GPUs are required although whisper.cpp is capable of using them if available. Once your speech is transcribed, it is sent to a ydotool daemon that will write the text into the focused application. Features Local speech-to-text processing via whisper.cpp (no cloud dependencies) No expensive hardware required (works well on a plain x86 laptop with AVX instructions) Global keyboard shortcuts for system-wide operation Automatic text injection into focused applications Configurable whisper models and shortcuts https://github.com/cjams/whispertux #assistant#speech#stt