Open Source Projects
February 14, 2026I still remember the chaos of my first kitchen gig. Tasks flying everywhere, people bumping into each other, orders piling up. I knew there had to be a better way. So, I started experimenting with task assignments and workflow optimization, and let me tell you, it changed everything. In a fast-paced kitchen environment, efficiency isn't just a goal—it's a necessity. Every element needs to be finely tuned to keep the chaos at bay. I'll walk you through how I've managed to streamline kitchen operations. Pro tips on task assignments, the importance of cleanliness and organization, effective team communication, and delegating responsibilities. Let's dive into optimizing workflows in high-pressure environments.
Open Source Projects
February 13, 2026I've had my hands on the Minimax M2.5, and trust me, it's not just another model on the shelf. I integrated it into my workflow, and its affordability made me rethink my entire setup. But hold on, it's not just about the price tag. This model stands out with its technical specs and efficiency. So why should the Minimax M2.5 get your attention? We're diving into its strengths, limitations, and how it stacks up against competitors. We'll also discuss reinforcement learning strategies and potential use cases. Get ready, because this model might just shake up your work approach.
Open Source Projects
February 12, 2026When I first heard about WebM MCP, I was skeptical. But after diving in, wrapping my head around its APIs, and seeing the potential, I realized it's a game changer for AI agent deployment. Developed by Google and Microsoft, WebM MCP offers a new way to handle media processing with AI agents. In this article, I share my hands-on experience, pitfalls to avoid, and how I integrated this tool into my daily workflow. Imagine managing thousands of tokens for each processed image, with just two APIs to master. I'll guide you through the benefits, use cases, and future prospects of this powerful tool.
Open Source Projects
February 12, 2026I've been in the trenches of software development long enough to know when a tool is more than just hype. Codex changed the game for me, especially in how I validate and test code. This isn't just theory—it's my daily workflow. Codex has allowed me to cut validation tasks down to less than ten minutes, which is a real win. Using Python, I've orchestrated code refactorings that were previously nightmares. But watch out, there are performance limits, especially when pushing automation capabilities to the max. Here, I'll share how Codex has transformed my approach to coding, efficiency, and risk management.
Open Source Projects
February 11, 2026I still remember when our AI booked a sales appointment without any human touch. That was a real game changer! In real estate, where speed and efficiency are key, integrating AI can truly transform how we operate. Imagine a tool that handles calls, schedules appointments, and even assists in closing deals. But it's not all smooth sailing. There are limits and pitfalls to watch out for. Let's dive into how I integrated this tech into my agency and the tangible results it brought.
Open Source Projects
February 10, 2026I've been knee-deep in codebases that felt like labyrinths. Then I found Codex—it was like finding the map I needed. Navigating code, managing PRs with Build Kite, everything started making sense. As a PM, diving into technical environments without coding can be daunting, but Codex bridges that gap. It's more than just a tool; it's a bridge between code navigation and team collaboration. Here’s how I use it to optimize code understanding, streamline team communication, and continuously improve my Codex skills. And even if you're not coding, a PM’s role in these environments can be really impactful.
Open Source Projects
February 10, 2026I remember the first time I got burned by non-deterministic errors in AI agents. Debugging felt like chasing shadows. But then I discovered the power of agent observability, and everything changed. In this article, I'll walk you through how agent observability can transform your debugging and evaluation processes, making them more efficient and reliable. We'll dive into the challenges of debugging AI agents, methods of evaluation, and the crucial role of tracing in AI development. If you're like me, you know that optimizing prompts and understanding emergent behavior are key, especially when it comes to agentic operations and future roles of these technologies. Get ready to discover tools and frameworks that will revolutionize your workflow.
Open Source Projects
February 9, 2026I've been knee-deep in fine-tuning large language models (LLMs) using Reinforcement Learning via Verifiable Rewards (RLVR). This isn't just theory; it's a game of efficiency and cost, with OpenAI’s RFT API as my main tool. In this tutorial, I'll walk you through how I make it work. We're diving into the training process, tackling imbalanced data, and comparing fine-tuning methods, all while keeping a close eye on costs. This is our third episode on reinforcement learning with LLMs, and we'll also discuss OpenAI's RFT API alternatives. Quick heads up: at $100 per hour, it escalates fast!
Open Source Projects
February 7, 2026I remember when I first stumbled upon worktrees in the Codex app. It was like discovering a hidden toolkit that changed how I managed tasks. Now, I juggle multiple projects without losing my mind. In our fast-paced software engineering world, efficient task management is crucial. Codex's worktrees offer a unique way to save time and boost productivity. Let me walk you through how I leverage this feature daily, and how it integrates seamlessly with tools like VS Code and Figma.
Open Source Projects
February 2, 2026I remember the first time I integrated reinforcement learning into training large language models (LLMs). It was 2022, and with the development of ChatGPT fresh in my mind, I realized this was a real game-changer for AI agents. But be careful—there are trade-offs to consider. Reinforcement learning is revolutionizing how we train LLMs, offering new ways to enhance AI agents. In this article, I'll take you through my journey with RL in LLMs, sharing practical insights and lessons learned. I'm diving into reinforcement learning with human feedback (RLHF), AI feedback (RLIF), and verifiable rewards (RLVR). Get ready to explore how these approaches are transforming the way we design and train AI agents.
Open Source Projects
January 31, 2026I've been orchestrating events for years, and if there's one thing I've learned, it's the power of a well-executed countdown. Whether it's launching a product or kicking off a live event, the countdown sequence can make or break the experience. In this tutorial, I'll show you how I set up sequences that not only sync perfectly but also add a layer of excitement and anticipation. First tip: never underestimate the symbolism of the countdown, that build-up of tension before the big moment. We start by synchronizing our timings, ensuring every element is in place before the grand launch. Ready to turn the ordinary into the extraordinary?
Open Source Projects
January 29, 2026I dove straight into the Gro Imagine API and found it surprisingly straightforward once I got my hands dirty. This API turns text into video, and it’s truly a game changer. But watch out for the quirks: over 15 seconds and you're in trouble. Let me walk you through how I set it up, step by step, with Python and JavaScript snippets for interaction. Securing your API keys is essential, and I’ll guide you on generating and downloading your AI-generated videos without a hitch.
Open Source Projects
January 28, 2026I remember the first time I stumbled upon Agentic Vision. It was like a light bulb moment, realizing how the Think, Act, Observe framework could revolutionize my AI projects. I integrated this approach into my workflows, especially for insurance underwriting, and the performance leaps were remarkable. Agentic Vision isn't just another AI buzzword. It's a practical framework that can truly boost your AI models, especially when paired with Python. Whether you're in insurance or any other field, understanding this can save you time and increase efficiency. In this video, I'll walk you through how I applied Agentic Vision with Python, and the performance improvements I witnessed, especially in Google AI Studio.
Open Source Projects
January 27, 2026I've been there—staring at a Clawbot instance with ports wide open, feeling the chill of potential security breaches. So, how did I secure my setup and avoid costly mistakes? Let's dive into Clawbot vulnerabilities, from prompt injections to weak skill validations. First, I shut those darn open ports. Then, I beef up skill validations to prevent Clawbot from doing things it shouldn't. But watch out for prompt injection attacks—they're sneaky and Anthropic isn't shy about banning accounts. I share my steps to audit your Clawbot system's security and protect your digital assets efficiently.
Open Source Projects
January 27, 2026I remember the first time I dove into the Kimmy K2.5 model. It was like stepping into a new AI era, where the Agent Swarm feature promised to revolutionize parallel task handling. I've spent countless hours tweaking, testing, and pushing this model to its limits. Let me tell you, if you know how to leverage it, it's a game-changer. With 15 trillion tokens and the ability to manage 500 coordinated steps, it's an undisputed champion. But watch out, there are pitfalls. Let me walk you through harnessing this powerful tool, its applications, and future implications.
Open Source Projects
January 26, 2026I remember the first time I fired up Ollama Launch on my Mac. It was like opening a new toolbox, gleaming with tools I was eager to try out. But the real question is how these models actually perform. In this article, we'll dive into Ollama Launch features, put the GLM 4.7 flash model through its paces, and see how Claude Code stacks up. We'll also tackle the challenges of running these models locally on a Mac and discuss potential improvements. If you've ever tried running a 30-billion parameter model with a 64K context length, you know what I'm talking about. So, ready to tackle the challenge?
Open Source Projects
January 26, 2026I remember the first time I stumbled upon reinforcement learning. It felt like unlocking a new level in a game, where algorithms learn by trial and error, just like us. Unlike supervised learning, RL doesn't rely on labeled datasets. It learns from the consequences of its actions. First, I'll compare RL to supervised learning, then dive into its real-world applications, especially in games. I'll walk you through value-based methods like Q-learning and policy-based methods, showing how these approaches are transforming massive language models. In the end, you'll see how three key ways of using RL to fine-tune large language models deliver impressive results.
Open Source Projects
January 24, 2026I still remember the first time I installed a high-tech smart lock at home. It was like stepping into the future. But let's be honest, it's not just about the buzz—it's a practical solution to make life easier and your home safer. With features like fingerprint unlocking and palm vein recognition, these locks are transforming the way we think about security. But how do you set them up effectively? I'll walk you through my process, the mistakes to avoid, and why, despite a few early missteps, I wouldn't look back.
Open Source Projects
January 24, 2026I’ve been knee-deep in the OpenAI ecosystem, and building apps in ChatGPT is like crafting a dynamic espresso shot—fast, efficient, and incredibly rewarding. With Codeex and MCP, I streamline the entire process. OpenAI's tools are game changers for developers eager to integrate AI into their apps. After hours in the trenches, today I'm sharing my workflow that makes app building not just feasible but efficient. From leveraging the OpenAI SDK to a live app creation demo, we’ll cover it all. I promise you, in two minutes, Codeex will already give you a starting scaffold.
Open Source Projects
January 24, 2026I remember the first time I cloned a voice with Qwen TTS—it was like stepping into the future. Imagine having such a powerful tool, and it's open source, right at your fingertips. This isn't just theory; it's about real-world application today. Last June, Qwen announced their TTS models, and by September, the Quen 3 TTS Flash with multilingual support was ready. For anyone interested in voice cloning and multilingual speech generation, this is a true game changer. With models ranging from 0.6 billion to 1.7 billion parameters, the possibilities are vast. But watch out, there are technical limits to be mindful of. In this article, I'll guide you through multilingual capabilities, open-source release, and emotion synthesis. Get ready to explore how you can leverage this tech today.
Open Source Projects
January 23, 2026I've spent countless hours tweaking deep agent setups, and let me tell you, the /remember command is a game changer. It's like giving your agent a brain that actually retains useful information. Let me show you how I use it to streamline processes and boost efficiency. With the /remember command in the deep agent CLI, you can teach agents to learn from experience. Let's dive into how this works and why it's a must-have in your toolkit.
Open Source Projects
January 23, 2026I've been knee-deep in JetBrains IDEs, and integrating Codex has been a game changer for my Kotlin projects. Here's the thing: first, I'll walk you through the setup process, then we'll dive into how it has streamlined my workflow. Whether you're debugging or implementing new features, Codex is here to help. For a multi-platform conference app that runs on mobile, web, and desktop, Codex makes life easier. I'll also show you how we handle localization tasks and how Codex integrates natively with JetBrains products. Simply put, if you haven't yet explored how Codex can boost your productivity, now's the time to dive in.
Open Source Projects
January 23, 2026I've been knee-deep in machine learning since 2012, and let me tell you, diffusion models are a game changer. And they're not just for academics—I'm talking about real-world applications that can transform your workflow. Diffusion in ML isn't just a buzzword. It's a fundamental framework reshaping how we approach AI, from image processing to complex data modeling. If you're a founder or a practitioner, understanding and applying these techniques can save you time and boost efficiency. With just 15 lines of code, you can set up a powerful machine learning procedure. If you're ready to explore AI's future, now's the time to dive into mastering diffusion.
Open Source Projects
January 22, 2026I've been running cloud code locally to boost efficiency and privacy, and Olama has been a real game changer. Imagine handling AI models with 4 billion parameters, all without leaving your desk. I'll show you how I set it up, from model selection to tweaking environment variables, and why it’s a game changer for education and enterprise. But watch out for context limits: beyond 100K tokens, things get tricky. By using Olama, we can compare different AI models for local use while ensuring enhanced privacy and offline capabilities. The goal here is to give you a practical, hands-on look at how I orchestrate these technologies in my professional life.
Open Source Projects
January 22, 2026I started my AI business with just a dollar. Sounds crazy? Well, in 2026, thanks to AI tools, it's not only possible but practical. I orchestrated everything using dropshipping platforms, marketing strategies with influencers, and mailing lists. Every dollar counts, especially when it comes to AI and branding. Leveraging free trials and tools like AutoDS, I turned that initial dollar into thousands in monthly sales. Let me show you how I did it, step by step, so you can embark on this journey too.
Open Source Projects
January 21, 2026I remember the day Eigent AI decided to open source our product. It was a bold move, inspired by Anthropic's co-work release. This decision reshaped our approach to multi-agent architectures. By opening up our architecture, we aimed to leverage community collaboration and enhance our multi-agent systems. The challenge was significant, but the results were worth it, especially in terms of task decomposition and coordination using DAG. If you're curious about how this has shaken up our development process, let's dive into this transformation together.
Open Source Projects
January 21, 2026I remember my first dive into software architecture—it was chaotic but exhilarating. That's when I learned that being a good architect isn't about knowing every detail but about managing complexity and making informed decisions. In this piece, I'll walk you through the core elements of effective software architecture, sharing insights from my journey and lessons from industry veterans like Gregor Hohpe. We'll explore the roles and characteristics of good architects, risk management, and the importance of visual tools. You'll also learn how to adapt to tech changes and why communication and mentorship are key.
Open Source Projects
January 21, 2026I dove into LangSmith Agent Builder expecting a complex setup. Instead, I found a streamlined approach to creating production-ready agents without writing a single line of code. LangChain Academy's new course, Agent Builder Essentials, is a game changer for anyone looking to automate tasks efficiently. We’re talking real-time reasoning and decision-making with no-code agents. Let me walk you through how it works and how it can boost your productivity.
Open Source Projects
January 21, 2026I dove into the LangSmith Agent Builder, and right away, 'Heat' kept popping up. It wasn't just noise; it was a game-changer. Let me walk you through how I harnessed 'Heat' to streamline my workflows. Understanding this feature is crucial for making the most out of LangSmith. My approach, what worked, and what didn't are all laid out here. If you're like me, always chasing efficiency and time savings, this practical dive into 'Heat' might just be a game-changer for you too.
Open Source Projects
January 21, 2026I've spent countless hours in the trenches, fine-tuning AI agents that aren't just smart but truly production-ready. Let's dive into three hidden features that have been game changers in my workflow. You know, AI agents are evolving fast, but making them robust for real-world applications requires digging deeper into lesser-known features. Here's how I leverage these capabilities to enhance efficiency and reliability. We're talking about how I use reasoning agents and streaming thought processes, reconnecting to agent streams after interruptions, and branching conversations with time-traveling capabilities. If you're looking to make your AI agents production-ready, these unique features are indispensable.
Open Source Projects
January 17, 2026I dove into the subagents architecture headfirst, and let me tell you, it's a game changer, but only if you navigate the design decisions like a pro. First, I had to figure out how to orchestrate these subagents efficiently. It's not just about setting them up; it's about making them work for you, not the other way around. With three main categories of design decisions and two crucial tool design choices, understanding the nuances between synchronous and asynchronous invocation is key. If you master context engineering, you can really boost your system's efficiency.
Open Source Projects
January 17, 2026I remember the first time I saw a 4D render—it felt like stepping into the future. But the real game changer was when I got my hands on Opsy Clear's 4D camera rig. This isn't sci-fi anymore, it's here, ready to revolutionize your workflow. Whether you're in the medical field or a YouTube content creator, mastering 4D imaging can truly set you apart. Let me walk you through this tech, from its medical applications to its potential on YouTube, and how it's accessible to everyone, regardless of your project's scale.
Open Source Projects
January 16, 2026I remember the first time I connected a Cerebras system to my AI workflow. The speed was jaw-dropping, but it quickly became clear it wasn't just about speed. It's about orchestrating everything efficiently, from speculative decoding to real-time voice data transfer. With Cerebras's Wafer Scale Engine 3, we're pushing the boundaries of AI inference and real-time applications. In this article, I'll take you through the process of building a real-time AI sales agent using Cerebras hardware, including a comparison with Nvidia GPUs. We'll explore how speculative decoding and Live Kit technology are revolutionizing user experience. Buckle up, because we'll also dive into training AI sales agents with LLMs and expanding into multi-agent systems for specialized support. Let's get started!
Open Source Projects
January 16, 2026I've been diving into Translate Gemma, and let me tell you, it's a real game changer for multilingual projects. First, I set it up with my existing infrastructure, then explored its multimodal capabilities. With a model supporting 55 languages and training data spanning 500 more, it's not just about language—it's about how you deploy and optimize it for your needs. I'll walk you through how I made it work efficiently, covering model variant comparisons, training processes, and deployment options. Watch out for the model sizes: 4 billion, 12 billion, up to 27 billion parameters—this is heavy-duty stuff. Ready to see how I used it with Kaggle and Hugging Face?
Open Source Projects
January 16, 2026I remember the first time I tried to implement a multi-agent system. Overwhelmed by the architecture choices, I made a few missteps before finding a workflow that actually works. Here’s how you can choose the right architecture without the headaches. Multi-agent systems can really change how we tackle complex tasks by distributing workload and enhancing interaction. But pick the wrong architecture, and you could face an efficiency and scalability nightmare. We'll explore sub agents, handoffs, skills, and router architectures, plus criteria for evaluating them. And why sometimes, starting with a single-agent system is a smart move. I'll share where I stumbled and where I succeeded to help you avoid the pitfalls. Ready to dive in?
Open Source Projects
January 16, 2026I remember the first time I faced lagging user interfaces while working with agent tools. It was frustrating, especially when you're trying to impress a client with real-time data processing. That's when I started integrating custom stream events with LangChain. In this article, I'll walk you through setting up a responsive user interface using LangChain, React, and Typescript. We'll dive into custom stream events, the config.writer function, and deploying with the langraph dev server. If you've ever lost time to sluggish tool calls, this tutorial is for you.
Open Source Projects
January 15, 2026I dove into Qwen 3's multimodal embeddings, aiming to streamline my AI projects. The promise? Enhanced precision and efficiency across over 30 languages. First, I connected the embedding models, then orchestrated the rerankers for more efficient searches. The results? A model reaching 85% precision, a real game changer. But watch out, every tool has its limits and Qwen 3 is no exception. Let me walk you through how I set it up and the real-world impact it had.
Open Source Projects
January 15, 2026I still remember the first time I tried Cling Motion Transfer. It was a game-changer. For less than a dollar, I turned a simple video into viral content. In this article, I'll walk you through how I did it, step by step. Cling Motion Transfer is an affordable AI tool that stands out in the realm of video creation, especially for platforms like TikTok. But watch out, like any tool, it has its quirks and limits. I'll guide you through image and video selection, using prompts, and how to finalize and submit your AI-generated content. Let's get started.
Open Source Projects
January 14, 2026I remember the first time I tried running a text-to-speech model on my consumer-grade CPU. Slow, frustrating, like being stuck in the past. But with the TTH model, everything's changed. Imagine achieving lightning-fast TTS performance on regular hardware, with some astonishing voice cloning thrown in. In this article, I guide you through this 2026 innovation: from technical setup to comparisons with other models, and how you can integrate this into your projects. If you're a developer or just an enthusiast, you're going to want to see this.
Open Source Projects
January 14, 2026Ever felt like your inbox was a beast you couldn't tame? I did, until I built an AI email assistant using LangSmith's new Agent Builder. No code, just pure automation magic. I turned chaos into order with an assistant that handles my emails and syncs with my calendar, all with human oversight and customization. In this article, I show you how I leveraged this no-code platform to lighten my daily workload and optimize efficiency. If you're looking to tame your email flow, look no further.
Open Source Projects
January 14, 2026I remember the first time I tried to stream agent messages into a React app. It was a mess—until I got my hands on LangChain and Langraph. Let me walk you through how I set this up to create a seamless interaction between frontend and AI agents. In this tutorial, I'll show you how to connect LangChain and React using Langraph Dev Server. We'll dive into streaming agent messages, using tools like weather and web search, and rendering them effectively in the UI. You'll see how I integrate these messages using the React Ustream hook, and how I handle different message types in the UI. Ready to transform your AI interactions? Let's dive in.
Open Source Projects
January 13, 2026I started using Cloud Code back in 2026, and let me tell you, it’s been a game-changer. At first, I was skeptical—another tool promising to revolutionize coding. But then, I saw the command-level interface in action, and things clicked. Cloud Code is quickly becoming the go-to tool for developers. It's not just about writing code; it's about transforming how we approach development. In this article, I'll dive into why so many people are making the switch and how you can harness its power. We’ll cover the rapid adoption of Cloud Code, its unique interface, and how the ecosystem is expanding. Don't miss this if you want to stay ahead of the curve!
Open Source Projects
January 13, 2026I've been diving deep into DSPI, and let me tell you, it's not just another framework — it's a game changer in how we handle prompt engineering. First, I was skeptical, but seeing its modular approach in action, I realized the potential for efficiency and flexibility. With DSPI, complex tasks are simplified through a declarative framework, which is a significant leap forward. And this modularity? It allows for optimized handling of inputs, whether text or images. Imagine, for a classification task, just three images are enough to achieve precise results. It's this capability to manage multimodal inputs that sets DSPI apart from other frameworks. Whether it's for modular software development or metric optimization, DSPI doesn't just get the job done, it reinvents it.
Open Source Projects
January 13, 2026I've spent months refining how my AI agents learn. It's not just about throwing prompts at them and hoping for the best. No, it's about building a robust learning loop that evolves with every iteration. The challenges in AI agent development are many, and optimizing these prompts is where the real work begins. In this video, I share the techniques and solutions I've uncovered, from the crucial role of human feedback to the importance of evaluator quality. It's a journey into the complex world of prompt optimization, and I show you how I cracked the code.
Open Source Projects
January 13, 2026I've spent countless hours refining workflows, and believe me, the Workflow Development Kit and AI SDK have been game changers. Initially, I was skeptical, but diving into their features and seeing them in action convinced me otherwise. In a world where efficient workflow orchestration is critical, understanding how to leverage these tools can truly set you apart. This isn't just theory—it's about practical implementation that saves time and resources.
Open Source Projects
January 13, 2026Ever tried orchestrating a team of sub-agents with Unix commands and felt like you were herding cats? I’ve been there. With Claude Agent SDK, I finally found a way to streamline decision-making and boost efficiency. Let me walk you through how I set this up and the pitfalls to avoid. Claude Agent SDK promises autonomy and decision-making power for agents across industries, but only if you navigate its complexities correctly. I connect my agents, manage their workload, and secure it all with Unix primitives and bash. But watch out, there are limits you'll need to watch. Ready to dive into the details?
Open Source Projects
January 11, 2026The first time I realized that heat wasn't just a byproduct in robotics but a central theme, it was a game changer. I understood that heat is a tool, a lever to be exploited. In this article, I'll show you how we harness heat in Physical AI, integrate music for engagement, and why energy concepts are critical in modern robotics. We're talking about a true revolution with Physical AI at the core of our robots, and believe me, managing heat is an art. You'll discover how these often overlooked creative approaches are transforming the way we design robotics.
Open Source Projects
January 11, 2026I've been building robots for years, but integrating Physical AI has been a game changer. It's not just about making them smarter; it's about giving them a sense of the physical world. Imagine a robot that perceives heat and reacts accordingly. That's exactly what I've managed to orchestrate in my projects. Join me as I walk you through this journey where Physical AI is redefining how we design robots, making them truly interactive with their surroundings.
Open Source Projects
January 10, 2026I still remember the day I first used Cororo. As a mom juggling feeding schedules, it was a game changer. First, I connect the microflow sensor, which gives real-time data on how much milk is consumed. Then, I switch breasts seamlessly using the app. But watch out, don't underestimate the power of historical analysis. By sharing this data with my pediatrician, I was able to tweak and optimize the process. Trust me, it made a real difference in my daily routine.
Open Source Projects
January 7, 2026Balancing motherhood with self-care isn't just a dream—I've made it my reality. Let me show you how I integrate quick workouts into my daily routine using just a stroller and some tech. As a mom, finding time for myself seemed impossible. But with a few tweaks and a bit of tech help, I've found a way to stay fit and energized. You’ll see that 20 minutes is all it takes to transform your day. Join me for practical tips and new perspectives through exercise.