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Introducing fff-ai. It's a file search tooling optimized specifically for your AI 1) significantly faster than fzf and ripgrep 2) has fuzzy code search fallbacks 3) better sort and suggestions of access frecency, git status, file size, etc Avg -10% wall time and -17% tokens

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Dmitriy Kovalenko

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184,675 görüntüleme • 3 ay önce •via X (Twitter)

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Announcing fff.nvim (and standalone fff cli): the file picker you've been waiting all this years. - typo resistant SIMD optimized fuzzy search - standalone native binary for file access that is aware of modification/access times - git status awareness using ABI - good UX
6:01

Announcing fff.nvim (and standalone fff cli): the file picker you've been waiting all this years. - typo resistant SIMD optimized fuzzy search - standalone native binary for file access that is aware of modification/access times - git status awareness using ABI - good UX

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Bruh… this File-Tree component is ridiculously polished 🌳 Trees is an open-source file tree system for building IDE-style file explorers with search, drag-and-drop, file selection, Git status indicators, and more. Perfect for code editors, developer tools, file managers, and apps that need a modern file explorer UI :) Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming
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Bruh… this File-Tree component is ridiculously polished 🌳 Trees is an open-source file tree system for building IDE-style file explorers with search, drag-and-drop, file selection, Git status indicators, and more. Perfect for code editors, developer tools, file managers, and apps that need a modern file explorer UI :) Follow Ram Maheshwari for more 💎 #html #ai #javascript #coding #webdevelopment #programming

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And I am not joking it is fraeking crazy that fff can do exact file search code search on the whole linux repo (7GB, 100k files) in real time but also it can do TYPO RESISTANT FUZZY CODE SEARCH *mostly* real time (just about 160ms delay per word)
0:36

And I am not joking it is fraeking crazy that fff can do exact file search code search on the whole linux repo (7GB, 100k files) in real time but also it can do TYPO RESISTANT FUZZY CODE SEARCH *mostly* real time (just about 160ms delay per word)

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A lot of you asked for an immediate access to fff.nvim and here you go! Introducing fff.nvim public beta. It's a smart file picker for neovim that does have - typo resistant file finder - git status support (naively via libgit2) - frecency and whole bunch of different sorts It's in beta thus I didn't do everything I want yet but already welcoming first users to try/test/contribute!
2:13

A lot of you asked for an immediate access to fff.nvim and here you go! Introducing fff.nvim public beta. It's a smart file picker for neovim that does have - typo resistant file finder - git status support (naively via libgit2) - frecency and whole bunch of different sorts It's in beta thus I didn't do everything I want yet but already welcoming first users to try/test/contribute!

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It's official! fff.nvim now the fastest file search on a planet. Here is a *real time* file search demo in the 100k 6GB directory of all the root linux kernel git tree.
0:38

It's official! fff.nvim now the fastest file search on a planet. Here is a *real time* file search demo in the 100k 6GB directory of all the root linux kernel git tree.

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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

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0:20

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

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Introducing 11ai - the AI personal assistant that's voice-first and supports MCP. This is an experiment to show the potential of Conversational AI: 1. Plan your day and add your tasks to Notion 2. Use Perplexity to research a customer 3. Search and create Linear issues

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Pick up where you left off with chat history import. Export your data from another AI app and upload the .ZIP file to Gemini to transfer your chat history. To get started: 1) Export your data: Request a data export from your current AI provider (they will usually email you a ZIP file). 2) Upload to Gemini: Navigate to the “Import chats” section of your "Import memory to Gemini" page and select your ZIP file. 3) Pick up where you left off: Gemini securely processes and organizes your past threads so you can search, reference, and continue building on them.

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This is how much memory your precious folke's snacks picker allocates using your lovely ripgrep to list files vs my ugly fff.nvim solution you hate because it's not a cli and you sure that file search should not live in memory and store a content index in RAM
1:05

This is how much memory your precious folke's snacks picker allocates using your lovely ripgrep to list files vs my ugly fff.nvim solution you hate because it's not a cli and you sure that file search should not live in memory and store a content index in RAM

Dmitriy Kovalenko

20,169 görüntüleme • 2 ay önce

TLDR from their words it is faster than FFF. But it makes absolutely 0 sense to me. FFF searches same query for 250ms. But it doesn't require 550mb index and HOURS of compute to index it Stay tuned I'll drop the article why this is the biggest lie in the file search history
0:21

TLDR from their words it is faster than FFF. But it makes absolutely 0 sense to me. FFF searches same query for 250ms. But it doesn't require 550mb index and HOURS of compute to index it Stay tuned I'll drop the article why this is the biggest lie in the file search history

Dmitriy Kovalenko

126,172 görüntüleme • 3 ay önce

Copilot Search in Bing blends AI and traditional search to help you find what you need and more, faster. Try now:
0:37

Copilot Search in Bing blends AI and traditional search to help you find what you need and more, faster. Try now:

Bing

33,419 görüntüleme • 1 yıl önce

A big announcement! Finally fff.nvim got live grep search that is actually revamping the way grepping works making it a much better search for the code *AND* solves all the QOL problems with the existing ripgrep based pickers
6:26

A big announcement! Finally fff.nvim got live grep search that is actually revamping the way grepping works making it a much better search for the code *AND* solves all the QOL problems with the existing ripgrep based pickers

Dmitriy Kovalenko

45,477 görüntüleme • 4 ay önce