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Author name: Alex Chen

Alex Chen is a senior software engineer with 8 years of experience building AI-powered applications. He has worked at startups and enterprise companies, shipping production systems using LangChain, OpenAI API, and various vector databases. He writes about practical AI development, tool comparisons, and lessons learned the hard way.

Deployment

TensorRT-LLM in 2026: 5 Things After 3 Months of Use

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

Deployment

My Production Agent Launch: What I Learned

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

Deployment

Kubernetes vs Render: Which One for Side Projects

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

Deployment

CrewAI vs LangGraph: Which One for Small Teams

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.

Deployment

Hono vs tRPC: Which One for Startups

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

Deployment

Best LlamaIndex Alternatives in 2026 (Tested)

After a thorough evaluation spanning 8 months: LlamaIndex is decent for quick prototypes but feels like an overhyped solution for serious projects.

Context
For the last 8 months, I’ve been using LlamaIndex in various projects that required intelligent document processing and chatbot functionalities. My teams and I have tested it across small to medium-sized applications,

Deployment

Mistral API in 2026: 5 Things After 6 Months of Use

After 6 months of using Mistral API in production: it’s useful for quick prototypes, but frustrating for large-scale applications.

So, what’s the deal with Mistral API in 2026? Having spent half a year using it for a medium-sized chatbot project involving customer service automation, I’ve gathered enough insights to share. The scale of the project

Deployment

My Guide to Scaling Cloud Agent Deployments Affordably

Hey there, fellow agent wranglers! Maya here, back at agntup.com, and boy, do I have something on my mind today. We talk a lot about the magic of agents – the autonomy, the problem-solving, the sheer coolness of having little digital minions doing your bidding. But let’s be real, the dream can quickly turn into

Featured image for My Kubernetes Scaling Secret for Unpredictable Agent Workloads
Deployment

My Kubernetes Scaling Secret for Unpredictable Agent Workloads

Hey there, fellow agent wranglers! Maya Singh here, back with another dive into the nitty-gritty of agent deployment at agntup.com. Today, I want to talk about something that keeps me up at night almost as much as figuring out what to binge next on my streaming service: scaling our agent deployments in Kubernetes.

Specifically, I

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