Date: 11/29/2025
Now, let’s get into the local LLM news!
Date: 11/28/2025
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.
Date: 11/28/2025
Alright, let’s dive into this week’s GitHub Trending, where we’re spotlighting 23 repos you should absolutely bookmark. I’m seeing a lot of interesting stuff here that could be real time savers or game changers for builders.
[Read through each repo]
Okay, some quick thoughts on a few of these that stood out to me:
Don’t forget to like the video and subscribe to the channel.
Date: 11/27/2025
Okay, team, let’s dive into some trending GitHub projects this week! I’m your host, Alfred Nutile, and this week, we’re tackling 24 of the hottest open-source projects that are making waves in the GitHub community. Remember, understanding these tools gives you the edge in building smarter and better for your customers.
Date: 11/26/2025
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:
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.
Date: 11/24/2025
Okay, let’s talk AntiGravity, Google’s new AI IDE. I saw BetterStackHQ, specifically on YouTube (channel: BetterStack), did a video on it, and, yeah, “interesting” sums it up. They highlighted some cool ideas, some rough edges, and what they called “questionable choices,” and I think that’s a fair assessment.
Let’s break down what makes AntiGravity newsworthy.
What AntiGravity Is:
It’s a cloud-based IDE pushing the boundaries of AI integration. It promises to help you build, test, and deploy apps faster with the help of AI agents.
BetterStackHQ Breakdown:
Why This Matters for No-Code/Low-Code Builders:
AntiGravity is attempting to redefine how we build software, and even though it has some rough edges, it’s a glimpse into the future. Features like Agent Manager and Browser Agent, if refined and secured, could significantly reduce the time and effort required to build complex applications. The generative UI api with Thesys is also a game changer. Also I think it is important to note that the Thesys generative UI api is what is powering anti-gravity. I think these integrations with companies, might be an advantage that anti-gravity and bubble or zapier have that lovable doesn’t.
The Takeaway:
Keep an eye on AntiGravity’s evolution. Even with its current drawbacks, it represents a significant step towards AI-assisted development and is worth watching for its potential impact on the no-code/low-code landscape.
Date: 11/24/2025
Alright, welcome back to the channel! Today, we’re diving into how to supercharge your home lab. I’m talking about 15 Docker containers that will instantly make your life easier and your lab more powerful, even in late 2025.
We’re covering everything from monitoring and automation to networking, security, backups, dashboards, and even DevOps. We’ll be looking at awesome tools like Dozzle, Watchtower, Pulse, Komodo, Netdata, Uptime Kuma, Bitwarden, Homer, Mailrise, NetBox, and a whole lot more. I’m going to show you how they all work together to build a killer home lab stack, whether you’re running Proxmox or any other Docker host.
Before we jump in, I want to remind you about the big home lab share and giveaway! Head over to the VHT forum (link below) and share your 2025 home lab build for a chance to win a surprise giveaway before the end of the year. I want to see what you guys are working on! The forum post with the details is at virtualizationhowto.com/community/home-lab-pics/best-home-lab-server-pics-and-gear-in-2025/.
Okay, let’s get to those containers! Here’s a quick rundown of what we’ll cover (with timestamps so you can jump around):
(Then go into detail about each container)
So, as you can see, these containers cover a wide range of home lab needs. By combining them strategically, you can build a robust, automated, and well-managed home lab environment. Don’t forget to check out the blog post linked below for more details and configuration tips. And most importantly, share your 2025 home lab builds in the forum for a chance to win that giveaway! Thanks for watching, and I’ll see you in the next video. Don’t forget to subscribe and hit that notification bell!
Date: 11/23/2025
Okay, buckle up, no-code pioneers, because this week we’re diving headfirst into the deep end of AI-powered development with Google’s Gemini 3.0! I know, I know, Google drops another AI, but trust me, this one’s a game-changer.
Date: 11/21/2025
Okay, this Rize 2.3.4 update is exactly the kind of thing I’ve been diving into lately! Essentially, it’s a time-tracking tool leveraging AI, and this update is all about making that AI smarter and more customizable. They’ve upgraded to GPT-5, squashed some annoying bugs, and, crucially, given you a ton of control over how the AI generates time entry suggestions. We’re talking custom instructions, language tweaks, and the ability to prioritize certain projects.
Why is this cool for us developers exploring AI workflows? Well, think about it: automating time tracking is a HUGE pain point. I mean, who actually enjoys meticulously logging every minute? By giving us control over the AI that’s doing this, Rize lets us tailor it to our specific coding habits, project structures, and even the way we phrase our tasks. The “Custom AI Instructions” feature is particularly exciting – imagine teaching the AI to recognize specific code patterns or naming conventions and automatically tag time entries accordingly! This moves beyond generic AI and into something truly personalized and efficient.
I see huge potential in combining Rize with other AI-powered tools I use. For example, I could feed Rize data generated by my code analysis tools to get even more granular time tracking. The ability to adjust time entry durations and disable unwanted suggestions is a game-changer. It’s not about blindly trusting the AI; it’s about collaborating with it to create a workflow that actually works for me. I am definitely going to experiment with integrating this into my workflow, especially with LLM’s getting better all the time. It could free up a lot of mental space for the real problem solving!
Date: 11/21/2025
Okay, this Manus video is seriously interesting, and it’s right up my alley as I’m diving deeper into AI-assisted development. It shows how you can automate web-based tasks by leveraging your existing logged-in sessions. Think auto-filling forms, scraping data from multiple sites, and chaining together complex workflows, all running in your browser. It’s like giving your browser an AI co-pilot to handle the boring, repetitive stuff.
What makes this valuable for us developers is the potential to automate so many tedious tasks. Imagine automatically pulling data from APIs, transforming it, and then using it to update your application—all orchestrated through the browser. We’re talking about automating testing workflows, data entry, and even generating content for CMS systems. Instead of writing custom scripts and APIs, Manus seems to let you define these workflows visually and then let AI handle the execution.
It’s definitely worth experimenting with because it’s a potential game-changer for productivity. Instead of spending hours on manual tasks, you could be focusing on higher-level design and problem-solving. The key is figuring out how to integrate it seamlessly with existing Laravel projects and workflows. But if it works as advertised, it could free up a significant amount of time, making it a tool I’d gladly add to my arsenal.