Date: 12/14/2025
Exciting AI hardware alert! 🚀 Olares One—the compact local AI powerhouse for your desk—is now live on Kickstarter. Snag the Super Early Bird deal before it’s gone: https://www.kickstarter.com/projects/167544890/olares-one-the-local-al-powerhouse-on-your-desk?ref=mex92q
Date: 12/12/2025
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
Date: 12/11/2025
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:
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
Date: 12/10/2025
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:
Dive deeper with this Developer Productivity Playlist – tons of tips for no-code AI prototyping.
Follow for more: YouTube Channel | Twitter
Date: 12/08/2025
Loving the latest in AI innovation? Check out this curated video roundup of the top 23 trending AI projects on GitHub—perfect for no-code/low-code builders exploring open-source tools. From AI training agents to OCR and RAG systems, it’s packed with actionable repos to supercharge your workflows.
Watch now: [YouTube Video Link]
Text list: https://link.githubawesome.com/23-trending-ai-projects
Key picks include:
Subscribe for more AI news: https://www.youtube.com/channel/UC9Rrud-8CaHokDtK9FszvRg
Connect: LinkTree | Threads | Buy Me a Coffee
Date: 12/08/2025
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:
Watch the full guide (20+ mins) with timestamps for easy navigation:
🔗 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! 🚀
Date: 12/08/2025
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
Date: 12/05/2025
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.
Date: 12/04/2025
Okay, here’s a script based on that content for the Alfred Nutile podcast, keeping in mind the preferred style and focus:
(Intro – Upbeat music fades)
Hey everyone, welcome back to the show! Alfred Nutile here, and this week we’re diving deep into a challenge that every builder faces when connecting AI to real-world data: getting LLMs to work with structured data, like databases, reliably.
(Transition – Sound effect or short music sting)
We’ve all heard the promises of AI agents answering questions from your databases. But let’s be honest, vector stores alone often fall flat, especially when you need accurate answers based on relationships within your data. That’s where Natural Language Query (NLQ) comes in, letting you ask questions of a database in plain English.
Now I came across a great video from The AI Automators Community. That show you five practical ways to connect AI agents to your databases using NLQ instead of relying solely on vector stores.
(Link to the video is in the description below)
(Main Content – Talking points based on the YouTube video outline)
The video covers a lot, but here are some key takeaways:
The Problem with Vector Stores: They’re great for semantic search, but struggle with precise relationships in structured data. You get hallucinations, wrong answers, and frustrated users.
Building a Self-Improving SQL Agent: The video explains how to create an agent that learns from past successful queries. It’s brilliant! The agent gets smarter over time, improving accuracy and efficiency.
Five Database Connection Patterns:
Security is Paramount: The video stresses essential security practices: Row-Level Security (RLS), least privilege, and safe CRUD access. If you’re building anything that touches sensitive data, don’t skip this.
(Transition – Quick sound effect)
Here’s what I like about this video:
(Why It Matters – Connect to broader trends)
This matters because, finally, we’re seeing concrete strategies for building AI-powered applications that can reliably interact with structured data. I’ve said for a while now this is the key to the future. This unlocks so much enterprise workflow automation. Imagine giving your users secure, natural language access to the data they need!
(Call to Action)
So, check out the video from The AI Automators Community. (link in the description!)
Are you building database-driven apps? What challenges are you facing? Let me know in the comments!
(Outro – Music fades in)
That’s all for this week! Don’t forget to subscribe, hit that notification bell, and share this episode with your fellow builders. I’ll see you next time with more no-code, low-code, and AI news!
Date: 12/03/2025
Alright, let’s dive into some game-changing AI coding news!
First off, I have to give a shout-out to Docker for their innovative approach to the Model Context Protocol, or MCP. They have a free catalog to check out here. Now, for those who aren’t familiar, MCP is how AI agents can access and use tools. But the problem has been that loading up every possible tool into the agent’s context window eats up resources and makes things slow.
Docker’s dynamic MCP is a total paradigm shift. Instead of giving your AI agent a massive toolbox filled with stuff it might never use, it only loads the tools it needs, when it needs them. This means:
But it doesn’t stop there. This dynamic MCP approach is unlocking a whole new wave of AI coding capabilities.
We’re talking agents that can write clean code, execute it securely in sandboxes, persist state, and even chain MCP servers together to create powerful workflows.
Think about it: your AI agent could build its own custom tools on the fly, without ever touching your core system. Imagine a GitHub search pipeline or a Notion database writer, all powered by AI that can dynamically adapt to the task at hand.
We’re seeing demos of GitHub MCP, dynamic tool selection, and even code-mode tool creation, where AI calls tools inside of tools while preserving context for reasoning. It’s mind-blowing stuff!
Whether you’re a webdev enthusiast experimenting with your first AI script or a power user connecting multiple MCP servers, dynamic MCP is a game-changer. It’s the blueprint for the future of coding with AI.
So, what do you think? Are you excited about dynamic MCP? Let me know in the comments below! And don’t forget to check out the Docker catalog (here) to start experimenting with these technologies yourself. The future of AI coding is here, and it’s dynamic!