Hey everyone, Maya here, back at it for agntup.com! Today, I want to talk about something that keeps so many of us up at night, especially when you’re moving beyond that initial “hello world” agent: scaling. Not just scaling up, but scaling smart. We’re well into 2026 now, and the agent deployment scene is buzzing.
How to Set Up Logging with Arize (Step by Step)
In this tutorial, we’re going to set up logging with Arize to ensure our machine learning models are performing as expected. Building logging solutions can seem overwhelming at first, but with structured practices, it becomes manageable — even enjoyable.
Prerequisites
After spending 6 months with LlamaIndex: the pricing model is a puzzle wrapped in a mystery, and you might find it more costly than anticipated.
In 2026, I dug deep into LlamaIndex for a project that demanded AI-assisted document parsing with no small amount of complexity. My team was building a large-scale application for a
Hey everyone, Maya here, back on agntup.com! Today, I want to talk about something that keeps me up at night, something I’ve personally grappled with across multiple projects, and something I see far too many teams getting wrong: scaling our agent deployments. Specifically, I want to dive into the nitty-gritty of scaling stateless agents effectively
How to Optimize Token Usage with Milvus (Step by Step)
Handling token usage efficiently with Milvus can reduce unnecessary compute costs and make your embeddings—and thus your vector search—way faster and smarter. While many folks treat “milvus optimize token usage” as a black box, I’m going to show you exactly how you can cut down
After 3 months using TensorRT-LLM: good for rapid prototyping, frustrating for scaling up.
In 2026, I’ve had the chance to play around with NVIDIA’s TensorRT-LLM for approximately three months. My focus was on a conversational AI application for an internal project at work, specifically aiming to build a chatbot that interacts with users in a
Hey there, fellow agent wranglers! Maya here, back with another deep dive into the nitty-gritty of getting our digital minions out into the wild. Today, we’re not just talking about getting an agent up and running; we’re talking about making it stick. We’re talking about pushing it out of our cozy dev environments and into
Kubernetes vs Render: Which One for Side Projects?
90% of developers expressed frustration with deployment processes in a survey done by Stack Overflow. As someone who has spun up countless side projects, I can confirm that debugging deployment issues can suck the joy right out of coding. This brings us to the heavyweight contenders: Kubernetes
CrewAI vs LangGraph: Which One for Small Teams
CrewAI has accumulated 46,599 GitHub stars while LangGraph sits at 26,907 stars. But let’s get this straight: stars don’t tell the whole story about functionality or practicality. For small teams, picking the right framework can be the difference between a project that flounders and one that flourishes.
Hono vs tRPC: Which One for Startups?
Hono has a growing reputation among developers, but let’s be honest, it’s currently not as popular as tRPC, which boasts features that many startup founders find compelling. Startups need to hit the ground running with tools that minimize overhead while maximizing productivity and speed to market. But how