Try@DailyAi.Studio

Category: Try

  • 17 Trending AI Projects on GitHub: nanochat, Superpowers, beads, AI Hedge Fund,Sora Extend,AgentFlow



    Date: 10/14/2025

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    Okay, so this video is basically a rapid-fire tour of 17 trending AI projects on GitHub. It’s like a buffet of cutting-edge tools, covering everything from LLM-powered chatbots (nanochat) and task automation (Superpowers) to video generation from text (Sora Extend) and agent-based workflows (AgentFlow). It’s especially exciting since some of these are open-source and directly applicable to building novel applications.

    Why is this video valuable for us now? Because we’re actively trying to integrate AI coding and no-code tools into our workflows. Seeing what’s trending on GitHub gives us a pulse on the practical applications of AI. For example, the video mentions gitingest for ingesting code into vector databases and OpenSpec to create datasets from unstructured documents which can directly impact how we handle complex, real-world data extraction and data preparation. Plus, projects like AgentFlow can give us a head start on building sophisticated automated processes.

    What makes it worth experimenting with? Well, it’s about unlocking productivity and exploring new possibilities. Think about using nanochat as a base for a custom support chatbot tailored to our clients’ specific needs or experimenting with Sora Extend to create engaging marketing videos based on text prompts. These tools aren’t just toys; they can translate into real time-savings and new revenue streams. Plus, being aware of these trends helps us adapt and stay ahead in this fast-evolving AI landscape.

  • GitHub Trending Repos Weekly #4: FleetCode, Reddix, Tugtainer, OpenStock, NeuTTS Air, MimicKit, run



    Date: 10/13/2025

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    Okay, so this “GitHub Trending Repos Weekly” video gives you a rapid-fire overview of 17 projects that are currently gaining traction on GitHub. From tools for managing code fleets (FleetCode) and Reddit data analysis (Reddix) to more specialized stuff like GPU monitoring (GPU Hot) and even turning research papers into videos (Paper2Video), it’s a real mixed bag of utilities and libraries.

    Why is this inspiring for us, the AI-enhanced developer crew? Because it highlights the sheer breadth of what’s being built right now. Some of these projects, like the text-to-speech one (NeuTTS Air) or the document management system (Libredesk), could be directly integrated into our no-code/low-code workflows or used as inspiration for custom LLM-powered solutions. Imagine using Paper2Video to automatically generate training materials for a client, or leveraging a project like chroma (vector database) to build more sophisticated semantic search into your Laravel apps. It’s about seeing how these tools can become building blocks in our AI-driven automation strategies.

    Seriously, carving out the 10 minutes to watch this video is worth it. You might stumble upon a project that solves a nagging problem you’ve been facing, or spark an idea for a completely new service offering. This is how we stay ahead of the curve, spotting those hidden gems that can supercharge our AI/no-code integrations and make us even more efficient. Plus, it’s just cool to see what other devs are up to!

  • Build an Open AG-UI Canvas with CopilotKit + LangGraph



    Date: 10/10/2025

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    Okay, this looks seriously cool. This video is about a Next.js starter template that marries LangGraph and CopilotKit to build AI-powered canvas applications. Think Miro or Mural, but with an AI agent orchestrating the whole thing and making it interactive in real-time. In short, it allows you to create visual interfaces driven by AI!

    As someone who’s been knee-deep in traditional Laravel development for ages, but is now diving headfirst into AI coding and no-code workflows, this is huge! Imagine building complex workflows visually with interactive cards, all managed by a LangGraph agent. This could be a game-changer for automating intricate business processes or creating dynamic dashboards. The possibilities of what you can build using this are awesome – from automated project management boards that self-update with tasks and deadlines to dynamic knowledge bases.

    The fact that it uses Next.js makes it even more appealing, given the current state of the Javascript ecosystem. This template gives a practical way to see LLM workflows in action, and start building something tangible very quickly. I’m personally pumped to try this out and see how I can adapt it to some of my existing client projects.

  • Introducing Figure 03



    Date: 10/09/2025

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    Okay, so this video is all about using LLMs, specifically in PHP with Laravel, to auto-generate code for common tasks, which is exactly where I’m trying to be. It’s basically showing how you can leverage these AI models to write CRUD operations, API endpoints, or even entire components with minimal human intervention. Think about it: instead of spending hours writing boilerplate code for a new model, you can prompt an LLM to generate most of it, letting you focus on the unique business logic.

    Why is this gold for us developers transitioning into the AI/no-code space? Because it bridges the gap! It’s not about replacing us, but augmenting our abilities. Imagine quickly scaffolding out a complex form with all the validation rules and database interactions handled, then tweaking it to perfection. That’s a massive time-saver! In practice, this could translate into cutting development time on new features by 30-50%, letting us deliver more value faster. And honestly, anything that reduces my boilerplate writing and lets me focus on the interesting problems gets a massive thumbs up from me.

    Ultimately, this kind of workflow is worth experimenting with because it represents a fundamental shift in how we develop. It’s about composing solutions rather than building everything from scratch. I’m betting that getting comfortable prompting these LLMs to write code will soon become a core skill for any developer wanting to stay ahead of the curve. I’m diving in!

  • Budibase Review | Easy To Use, Low-Code Platform



    Date: 10/09/2025

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    Okay, so this video is all about building internal apps with Budibase, an open-source, low-code platform. It walks you through connecting to data sources, designing the UI, using bindings for dynamic content, creating custom queries, and even setting up basic automations.

    Honestly, this is exactly the kind of thing I’m digging into lately. As developers, we’re often stuck building internal tools that are crucial but can be time-sinks. Budibase, and platforms like it, promise to dramatically speed that up. The video highlights how you can quickly connect to different databases, visually design the interface, and create custom queries without diving deep into code. Think about it: instead of spending weeks on a clunky admin panel, you could potentially have a slick, functional app up and running in days. The section on custom queries is particularly interesting, since that helps strike a balance between low-code ease and precise data manipulation.

    What makes this video worth a shot is that it gives you a practical glimpse of building an app from start to finish. It aligns perfectly with the transition to AI-enhanced development, as it lets you focus on the “what” (the application’s logic and purpose) while the platform handles a lot of the “how” (the code scaffolding, UI rendering, etc.). I think experimenting with this could unlock some serious time savings on those less-glamorous but essential internal projects, freeing us up to focus on the more innovative, AI-driven aspects of our work. I’m planning on diving in myself and seeing how well it integrates with some of my existing Laravel projects.

  • Intelligent Operations: Building AI-Ready SOPs with Baserow + n8n



    Date: 10/09/2025

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    Okay, so this video about automating SOPs using Baserow, n8n, and AI? Seriously inspiring stuff. We’re talking about moving beyond clunky spreadsheets and into a world where your processes are dynamic, self-improving, and honestly, way less of a headache.

    For those of us diving into AI-enhanced development, this is gold. It shows you how to weave together no-code tools like Baserow (an open-source database) and n8n (a workflow automation platform) with AI agents. Imagine this: you’ve got tasks automatically created and assigned, progress tracked in real-time, and then, BAM, AI swoops in to analyze feedback and tweak the workflow for optimal performance. We’ve all been there – manually adjusting processes based on gut feeling and delayed reports. This is about making data-driven decisions, automatically.

    Think about applying this to client onboarding, bug tracking, or even internal code review processes. You could automate the initial steps, use AI to identify bottlenecks, and continuously improve the entire flow. For me, the real kicker is the “self-improving workflows” part. It’s not just about automation; it’s about building systems that get smarter over time. Definitely worth blocking out an hour to experiment and see how these tools can streamline our workflows.

  • 16 Self-Hosted Projects on GitHub: Bytebot, airi, Rybbit, BillionMail, HeadlessX, HomeHub, Dockpeek



    Date: 10/08/2025

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    Okay, so this video is basically a rapid-fire tour of 16 trending self-hosted projects on GitHub, covering everything from AI tools (like Bytebot, an AI desktop agent, or Airi) to utilities like analytics, email marketing (BillionMail), and even home automation dashboards (HomeHub). It’s a buffet of open-source goodness designed to run on your own hardware, giving you ultimate control and privacy.

    Why is this gold for us Laravel/PHP devs who are diving into AI and no-code? Because it showcases practical alternatives to cloud-dependent SaaS solutions. We’re talking about projects that could replace expensive third-party services with something we fully control and can even customize. Imagine self-hosting your analytics with SurfSense for enhanced privacy, or using Bytebot for personalized AI workflows directly on your machine. These projects are potential building blocks for custom applications, internal tools, or even innovative client solutions where data sovereignty is paramount.

    Honestly, the potential for integration with Laravel is huge. We could use these self-hosted tools as backend components, build custom APIs around them, or even create entire applications that leverage their functionality. The best part? These projects are all open-source, meaning we can contribute back, learn from the code, and tailor them to our exact needs. I’m particularly excited to experiment with Bytebot and Airi to see how I can integrate them into my current automation workflows and potentially build custom AI-powered features into my Laravel applications. Definitely worth the time to check out and experiment with!

  • 16 Trending AI Agent Projects on GitHub: sim, Astron, Code2Video, mcp-use, ART, AutoAgent, CrewAI



    Date: 10/08/2025

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    Okay, this video is a goldmine! It’s essentially a rapid-fire tour of 16 open-source AI agent projects on GitHub. From agents that can automate browser interactions to those focused on code generation or even financial trading, it’s a diverse and inspiring collection.

    Why’s it valuable? Because it directly addresses the core of transitioning into AI-enhanced workflows. As developers, we’re constantly looking for ways to automate repetitive tasks and offload complexity. These projects provide tangible examples of how AI agents can be built and applied. Instead of just reading about theoretical concepts, you can dive into real code, experiment, and adapt these agents for your own needs. Imagine using one of the web automation agents to streamline your testing process, or leveraging a code generation agent to scaffold new features faster – that’s the kind of productivity boost we’re aiming for.

    I’m personally excited about exploring projects like CrewAI and AutoAgent. The idea of orchestrating multiple agents to tackle complex tasks is particularly compelling for automating intricate business processes. Even if you don’t use these projects directly, they offer a fantastic learning opportunity and could spark new ideas for custom solutions tailored to your specific projects. It’s definitely worth carving out some time to explore this list and see where these projects can integrate into your current stack.

  • Gemini 2.5 Computer Use: Google’s FULLY FREE Browser Use AI Agent! Automate ANYTHING! (Ranked #1)



    Date: 10/08/2025

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    Okay, so Google just dropped Gemini 2.5 Computer Use, and from what I’m seeing, it’s a game-changer for anyone diving into AI-powered automation. The video basically showcases how this new fully free AI agent can control web browsers like a human, automating tasks directly through the UI—no APIs needed! It’s built on Gemini 2.5 Pro and is apparently top-ranked in browser control, outperforming even OpenAI’s and Anthropic’s agents.

    Why is this valuable? Well, think about all the tedious web tasks we automate with clunky scripts or integrations. This could potentially streamline that process dramatically. Imagine automating data extraction, testing web apps, or even managing content across different platforms, all without writing a single line of custom code. The video highlights its optimized performance for web and mobile UI control, along with built-in safety measures, which is crucial for real-world applications. It’s like giving LLMs hands and eyes that work, and it’s FREE!

    For me, the appeal lies in its potential to blur the lines between traditional coding and no-code solutions. It’s worth experimenting with because it could unlock faster, more intuitive workflows for automating web-based processes. I’m already brainstorming ways to integrate it into my Laravel projects for automated testing and data scraping. Could this be the end of writing complex browser automation scripts? Let’s find out.

  • Intro to Agent Builder



    Date: 10/06/2025

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    Okay, so this video about OpenAI’s Agent Builder is seriously cool and timely. It walks you through creating agentic workflows visually, using a drag-and-drop interface. You can connect different tools and then publish these workflows using ChatKit and the Agents SDK. Think of it as a no-code/low-code way to orchestrate AI agents, taking them from theoretical concept to actual, functioning components in your applications.

    For those of us diving into AI coding and LLM-based workflows, this is a game-changer. We’re moving beyond just writing code and more into designing AI-driven processes. Being able to visually map out and connect tools, without getting bogged down in complex code at the initial stage, allows you to experiment and prototype much faster. You could build an agent to handle customer support queries, automate content generation, or even manage parts of your CI/CD pipeline—all without needing to be a hardcore AI specialist.

    What’s really exciting is the practical application. Imagine visually designing a workflow where a customer’s request triggers a search using a specific API, summarizes the findings using an LLM, and then sends a personalized response—all handled by an agent you built with drag-and-drop. This is where development is heading: less manual coding of every step and more orchestration of AI-powered components. I’m personally eager to try this out because it aligns perfectly with building more intelligent, automated systems while minimizing the boilerplate. Plus, visual tools can be amazing for quickly iterating and demonstrating complex workflows to non-technical stakeholders.