Jan.ai
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Based on our record, Jan.ai should be more popular than ExplainDev. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There is also https://github.com/ml-explore/mlx-swift-lm which is what https://jan.ai uses. - Source: Hacker News / 24 days ago
Jan is the most polished open-source AI client available. Built with Tauri, it's lighter than Electron apps and has a genuinely clean, minimal design โ the kind where you notice the absence of clutter rather than the presence of features. It runs local models through llama.cpp and MLX, has native MCP support, an extension system, and an OpenAI-compatible API server at localhost:1337 so you can point other tools at... - Source: dev.to / 2 months ago
Jan takes a different approach, prioritizing user privacy and simplicity over advanced features with a 100% offline design that includes no telemetry and no cloud dependencies. - Source: dev.to / 9 months ago
I really like Jan, especially the organization's principles: https://jan.ai/ Main deal breaker for me when I tried it was I couldn't talk to multiple models at once, even if they were remote models on OpenRouter. If I ask a question in one chat, then switch to another chat and ask a question, it will block until the first one is done. Also Tauri apps feel pretty clunky on Linux for me. - Source: Hacker News / about 1 year ago
I believe there's a couple of similar apps like https://msty.app and https://jan.ai that do the same and allow you to plug in your own API keys. - Source: Hacker News / about 1 year ago
Thanks for the note. Generally best to just describe the task (need to improve the system prompt to always only return tools). Here's the response I got: https://imgur.com/a/NyHBCe2 (https://programming-helper.com/ , https://explain.dev/ , https://tldrdev.ai/ , https://code-mentor.ai/) In addition to the categorization and summary (driven by GPT-4), it takes into account performance metrics of the tool (visits,... Source: over 3 years ago
Agree with so many of the comments here. I believe the way to equip folks to be productive with legacy code is build tools that replicate the goodness of an experienced engineer while on the job. Supplement the help available and ensure the person onboarding is benefitting from the questions that were asked by new folks before them. I started building the tool here: explain.dev While courses could help you feel... Source: over 3 years ago
The technology behind the images is ExplainDev, an AI powered programmer's assistant. You can think of it as an expert that's always available to answer your technical questions and explain code. - Source: dev.to / almost 4 years ago
I used explain.dev for code explanations and snappify.io for the visuals :). Source: about 4 years ago
ChatGPT - ChatGPT is a powerful, open-source language model.
Browser AI Kit - Run AI tools directly in your browser, free and unlimited
GPT4All - A powerful assistant chatbot that you can run on your laptop
ExplainThisCode.ai - AI-powered code explanations tailored to your skill level. Paste code, upload files, or connect GitHub repos to get personalized explanations for any programming language.
Ollama - The easiest way to run large language models locally
EssenceAI - Simplify Code Understanding using the power of GPT-4