Tag: nocode

  • Build Apps Faster with AI | Vibe Coding with Goose



    Date: 12/12/2025

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    Vibe Coding Demo: Building a To-Do List App with Goose

    Dive into the world of vibe coding—a fresh approach to app development where AI handles the heavy lifting through natural language prompts. In this quick demo, we create a simple to-do list app using Goose, showcasing how it speeds up prototyping and idea experimentation without traditional coding.

    Perfect for anyone wanting to experience AI as your ultimate coding collaborator. No prior setup needed—just prompts and creativity!

    🔗 Resources:
    Goose Documentation

    NoCode #LowCode #AI #VibeCoding #AppDevelopment

  • Shadcn Isn’t Just a Library Anymore… Here’s How to 10x Your UI



    Date: 12/11/2025

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    Shadcn UI Revolution: Streamline Your Web Dev Workflow with MCP Server & Cursor AI

    Shadcn just transformed how I build UIs! Dive into this game-changing tutorial on the Shadcn UI MCP server paired with Cursor AI. It reveals a powerhouse workflow for web development—building, styling, and scaling interfaces effortlessly with Shadcn tools and MCP automation.

    Key Highlights:

    • Full setup and customization guide for Shadcn UI in React JS or Next.js projects.
    • Hands-on walkthrough: Installation, TweakCN integration, and MCP tools like GetComponentDemo and Blocks.
    • Perfect for crafting custom Shadcn UI templates, charts, or professional frontends.
    • Ideal for React, JavaScript, and serious web devs looking to elevate UI/UX design.

    By the end, you’ll master structuring seamless UIs in Next.js with Shadcn blocks for a pro-level dev experience. Great for no-code/low-code enthusiasts exploring AI-enhanced tools!

    Repo Link: https://github.com/Jpisnice/shadcn-ui-mcp-server

    react #javascript #coding #webdevelopment #nextjs #webdesign #uiux #uidesign #shadcnui #aicoding #lowcode

  • This Box Runs All My AI… From a Coffee Shop



    Date: 12/10/2025

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    Weekly AI Hardware Picks: Local Powerhouses & Low-Code Setup Inspo

    Diving into the world of accessible AI this week—focusing on no-code/low-code tools and hardware that make running LLMs and dev workflows a breeze without breaking the bank. Here are some standout videos I’ve liked that explore local AI setups, Apple Silicon hacks, and portable rigs. Perfect for creators building AI apps on the go!

    Related Watches for No-Code AI Builders:

    • 🧬 Mac Studio Cluster vs. M3 Ultra: Scaling local AI without clouds. YouTube
    • 🧳 Mini PC Portable Setup: Low-code dev on the move. YouTube
    • 🍎 Dev Setup on Mac: Streamlining AI workflows. YouTube
    • 💸 Cheap Mini Runs 70B LLM: Budget no-code AI experiments. YouTube
    • 🧪 RAM Torture Test on Mac: Hardware truths for AI loads. YouTube
    • 🍏 Free Local LLMs on Apple Silicon: Fast, no-fuss setup. YouTube
    • 🧠 Reality vs. Apple’s Memory Claims (vs. RTX 4090): Benchmarking for low-code AI. YouTube
    • ⚡ Thunderbolt 5 Breaks Apple’s Upcharge: Affordable connectivity for AI rigs. YouTube
    • 🧠 Insane ML on Neural Engine: Leveraging built-in power. YouTube
    • 🧱 Mac Mini Cluster: Distributed low-code AI at home. YouTube

    Dive deeper with this Developer Productivity Playlist – tons of tips for no-code AI prototyping.

    Follow for more: YouTube Channel | Twitter

    AICurated #NoCodeAI #LowCode #LocalLLM #AppleSilicon

  • Getting AI to CALL your leads for you? | @elevenlabsio + @twilio + Xano



    Date: 12/08/2025

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    Weekly No-Code/Low-Code/AI Highlights: Voice AI Agents with Xano, ElevenLabs & Twilio

    Loved this tutorial on building powerful voice AI agents that handle real phone calls—no heavy coding required! It combines @elevenlabsio’s top-tier voice tech with @twilio’s reliable connectivity, all powered by Xano’s no-code backend.

    Key takeaways:

    • Set up agents via Xano’s Agent Builder with webhooks for inbound/outbound calls.
    • Handle DB, pre/post handlers, HMAC security, and feedback analysis effortlessly.
    • From setup to live testing in minutes—ideal for devs adding voice to apps.

    Watch the full guide (20+ mins) with timestamps for easy navigation:

    • 00:00 Overview & prereqs
    • 00:37 ElevenLabs setup
    • 04:01 Xano backend deep dive
    • 20:42 Call flows & knowledge base

    🔗 Dive in: https://www.xano.com/snippet/zMgFEwec
    More on Xano: https://www.xano.com | Twitter: https://twitter.com/nocodebackend
    YouTube: https://www.youtube.com/c/nocodebackend

    Curating the best no-code AI vibes—stay tuned for more weekly picks! 🚀

  • Microsoft Foundry – Everything you need to build AI apps & agents



    Date: 12/08/2025

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    Microsoft Foundry: Revolutionizing AI App Building with Low-Code Ease

    Dive into Microsoft Foundry, the unified platform making it simpler than ever to build, optimize, and govern AI apps and agents tailored to your business. In this Microsoft Mechanics demo, CVP Yina Arenas walks through coordinated dev ops, workflows, agentic app creation, performance eval, security, and seamless publishing—all in one portal. Perfect for no-code/low-code enthusiasts accelerating AI impact without the hassle.

    Watch now: Microsoft Mechanics Video

    AIAgents #AzureAI #LowCodeAI #NoCode

  • Softr’s New Vibe Coding Block Explained — Build Anything with AI



    Date: 12/05/2025

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    Dive into Softr’s Vibe Coding Block! JJ walks you through building interactive components with AI, creating dynamic forms, and customizing your Softr apps like never before. Unleash the power of no-code with conditional filters, user permissions, and version control! Perfect for anyone looking to level up their Softr skills.

  • GitHub Trending Today #11: SyncKit, RepoMind, Vex, runprompt, Markdown Viewer, beads_viewer, Pulse



    Date: 11/30/2025

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    Intro (0:00)

    (Upbeat intro music fades slightly)

    Hey everyone, Alfred Nutile here, and welcome back to the channel! Today we’re diving into GitHub Trending – it’s episode #11, and we’re sifting through the hottest 25 projects that developers are starring and forking right now. Think of this as your curated cheat sheet to what’s bubbling in the open-source world. We’ll be looking at what’s useful for our community, folks building no-code/low-code solutions and experimenting with local LLMs. Let’s jump in!

    (Transition music, short)

    SyncKit (0:15) – https://github.com/Dancode-188/synckit

    First up, we have SyncKit. This project looks like it’s aiming to simplify background task management for iOS and macOS. It makes synchronizing data easier. Not exactly no-code. But if you’re using something like SwiftUI to build a front end and need to handle complex background tasks, tools like this can be a lifesaver.

    RepoMind (0:43) – https://github.com/403errors/repomind

    Next, RepoMind. This is more interesting. It appears to be focused on analyzing GitHub repositories using AI. This is how you can find the projects that are built using AI. They use embeddings, a great technology to look at.

    Vex (1:06) – https://github.com/CodeOne45/vex-tui

    Vex is a cross-platform terminal file explorer. This isn’t a no-code solution per se, but it’s relevant. Imagine wrapping a powerful command-line tool like this into a no-code workflow.

    runprompt (1:29) – https://github.com/chr15m/runprompt

    Now, this is interesting! runprompt is a tool that helps you test and refine your LLM prompts. You can experiment with different models and see how your prompt performs. If you’re building agents or applications using local LLMs, a tool like this is absolutely essential.

    Markdown Viewer (1:53) – https://github.com/xicilion/markdown-viewer-extension

    Markdown viewers are crucial. You have to remember that if you are building documentation or just working in general.

    beadsviewer (2:18) – https://github.com/Dicklesworthstone/beadsviewer

    Beads Viewer. Not sure what this does.

    Doraemon Paper Comicizer (2:44) – https://github.com/redreamality/Paper-Comicizer

    Doraemon Paper Comicizer. This one is fun. Transforms pictures into comic book pages.

    Pulse (3:09) – https://github.com/ds-horizon/pulse

    Pulse is an animation app for mobile. Another way to make it a little easier on yourself if you use animation in your low code projects.

    Claude Usage Tracker (3:35) – https://github.com/masorange/ClaudeUsageTracker

    Claude Usage Tracker – Perfect for those of you who are working a lot with Claude for LLMs.

    iMontage (3:59) – https://github.com/Kr1sJFU/iMontage

    This is for the mac but lets you create montages easily. It’s good for social media and marketing.

    MinerU-HTML (4:23) – https://github.com/opendatalab/MinerU-HTML

    MinerU-HTML lets you extract structured data out of websites.

    Web3 Decoder (4:47) – https://github.com/classicshi/web3-decoder

    This decodes your web3 transactions

    podcast-server (5:09) – https://github.com/hemant6488/podcast-server

    podcast-server lets you create your own podcast server. Nice!

    Voxel4D (5:32) – https://github.com/rtennety/Voxel4D

    Voxel4D is a cool project. We should highlight that one!

    LatentMAS (5:56) – https://github.com/Gen-Verse/LatentMAS

    LatentMAS is an agent project that is interesting.

    DSpico Hardware (6:20) – https://github.com/LNH-team/dspico-hardware

    DSpico hardware is hardware for audio

    FastRL (6:43) – https://github.com/mit-han-lab/fastrl

    FastRL is reinforcement learning code.

    SteadyDancer (7:06) – https://github.com/MCG-NJU/SteadyDancer

    SteadyDancer makes videos and is worth taking a look at.

    Go Memory Layout Visualizer (7:31) – https://github.com/1rhino2/go-memory-visualizer

    This helps you visualize your go code.

    Darwin (7:53) – https://github.com/ds-horizon/darwin

    This is another animation project

    Urlvy (8:19) – https://github.com/hoangsonww/Urlvy-URL-Shortener-App

    Urlvy can shorten your urls

    Sip (8:42) – https://github.com/bgibson72/start-page-v3

    Sip can help you with your website.

    Agent Commands (9:07) – https://github.com/mitsuhiko/agent-commands

    Agent Commands is worth a look.

    dns-honeypot (9:32) – https://github.com/tg12/dns-honeypot

    If you want to build a honey pot this tool can help!

    Smoothify (9:55) – https://github.com/DPIRD-DMA/Smoothify

    Makes your graphics look smooth

    (Transition music, short)

    Outro

    And that’s a wrap on GitHub Trending #11! Hopefully, you saw a few projects that sparked some ideas. Remember, the goal here is to see what’s possible and how these tools can fuel your own no-code/low-code builds, and your local LLM experiments.

    (Call to Action)

    Don’t forget to like this video if you found it helpful, and subscribe to the channel for more news, reviews, and tutorials on the world of no-code, AI, and building for the future. And if you really want to support the channel, consider joining as a paid subscriber! You can find the link down below: https://www.youtube.com/channel/UC9Rrud-8CaHokDtK9FszvRg/join Your support helps me bring you this content every week.

    Thanks for watching, and I’ll see you in the next one!

    (Outro music fades in and plays)

  • DeepSeek strikes again, new top image models, Claude Opus 4.5, open source robots: AI NEWS



    Date: 11/30/2025

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    Okay, here are some potential news segments based on the provided AI news video, tailored for the Alfred Nutile channel, focusing on low-code/no-code applications and local LLM implications. I’ll keep it concise and Alfred-esque!

    Start with Ad Read

    HubSpot’s Free Guide: Before we dive in, quick shoutout to HubSpot! Grab their free guide, “5 AI Tools to Make Your First Million.” Link in the description. Lots of opportunity out there for folks looking to build.

    (Transition Music sting)

    Local LLM NEWS

    1. Hunyuan OCR – Smarter Image Scanners:

    • Summary: Tencent has a new OCR (Optical Character Recognition) model, Hunyuan OCR, that’s kicking butt.
    • Why It Matters: OCR is a HUGE piece of making your data usable for AI. If we can get that information from the images around us, then local AI can be improved dramatically. And OCR is a key pre-processing step for many AI workflows.
    • Link: https://hunyuan.tencent.com/vision/zh?tabIndex=0

    2. Fara-7B – Agentic Computer Model

    3. DeepSeek Math V2 – Local Math Whiz:

    • Summary: DeepSeek released version 2 of their Math model.
    • Why It Matters: For local LLMs, math capabilities are still a challenge. Imagine the possibilities for custom data analysis, reporting, or even automated financial dashboards built with no-code tools, all powered by local AI! This could be huge for specialized industries.
    • Link: https://huggingface.co/deepseek-ai/DeepSeek-Math-V2

    General AI News to Note:

    4. Flux2 – UI

    5. Claude Opus 4.5 – Faster, Smarter Claude:

    • Summary: Anthropic dropped Claude Opus 4.5, promising big performance gains.
    • Why It Matters: Everyone’s favorite AI helper is getting a big upgrade. Could this mean better integration with your no-code tools via APIs? We’ll have to wait and see, but faster models always open doors.
    • Link: https://www.anthropic.com/news/claude-opus-4-5

    (Outro Music Sting)

  • Xano Fall Launch Event



    Date: 11/28/2025

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    Alright, let’s dive into some news from the backend world, specifically for those of us building with no-code or low-code. Xano, a name you’ve likely heard if you’re in this space, just launched Xano 2.0.

  • Liquid AI Just Dropped the Fastest, Best Open-Source Foundation Model



    Date: 11/26/2025

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    Alright, let’s dive into some local LLM news, and this one is a big one: Liquid AI just dropped LFM2-VL! This feels like a real turning point for local AI.

    Summary: Liquid AI has released LFM2-VL, touted as the world’s fastest and best-performing open-source small foundation model. The key point here? It’s designed to run directly on your phones, laptops, even wearables.

    Key Points:

    • Blazing Speed: They’re claiming up to 2x faster inference than competitors.
    • Device-Aware Efficiency: Designed to run efficiently on resource-constrained devices.
    • Impressive Benchmarks: Rivaling much larger, closed-source models, all while running locally.
    • Open Source: This is huge for accessibility and community development.

    Why It Matters:

    LFM2-VL isn’t just another model; it’s proof that advanced multimodal AI (we’re talking vision and language) can now run offline, privately, and efficiently on the devices people already own. This is what we’ve been waiting for! The potential applications are enormous: smart cameras, offline assistants, and so much more, all without relying on the cloud. This release from Liquid AI could really shift the AI industry off the cloud and into our pockets. This is amazing news for no-code builders looking to embed AI directly into user experiences.