Best Practices

LLM Observability: A Developer’s Honest Guide

I’ve seen 3 production agent deployments fail this month. All 3 made the same 5 mistakes. If you’re developing with large language models (LLMs), you know that observability can feel like trying to find your keys in the dark—frustrating, inefficient, and quite frankly, annoying. You need clarity in how

After three months using DSPy in production, I can tell you the costs nobody talks about.

DSPy pricing in 2026 is something you need to scrutinize before jumping in headfirst. As a senior developer who has been around the block a few times, I’ve seen too many tools promise the moon and then choke on

PydanticAI vs LlamaIndex: Which One for Small Teams?

47,823 GitHub stars for LlamaIndex vs 15,628 for PydanticAI. Forks are 7,056 for LlamaIndex and just 1,797 for PydanticAI. Surely LlamaIndex is the obvious choice, right? Not necessarily. The numbers don’t tell the full story, especially if you’re a small development team looking for ease of use,

After 3 months with Milvus in production: it’s decent for prototyping, frustrating for scaling.

So, here I am, three months deep into working with Milvus for a project focused on vector similarity search. For context, I started using Milvus back in January 2026 and threw it into a mid-sized application that involves a recommendation system.

Hono vs Elysia: Which One for Small Teams?

Hono has about 90,000 GitHub stars, while Elysia lags behind at around 15,000. But here’s the kicker—stars don’t deploy apps. For small teams deciding on a web framework, what really matters are performance, ease of use, and community support. In this piece, I’ll peel back the layers

After testing ChromaDB for over six months: it’s okay for small scale projects but becomes a hassle when faced with real-world demands.

ChromaDB has made its mark in the world of vector databases, especially for those venturing into AI and machine learning. I jumped on the ChromaDB bandwagon, using it for a recommendation engine on

n8n vs Make vs Zapier: Automation Showdown
n8n boasts a staggering 179,975 stars on GitHub, while Make and Zapier claw at 38,000 and 38,000, respectively. But stars don’t equate to true usability or feature depth. Let’s dissect how they stack up against each other.

Tool

GitHub Best Practices Fly.io vs Render: Which One for Startups Alex Chen / March 19, 2026 Fly.io vs Render: Picking the Right Tool for Startups In 2023, there were more than 9,000 startup launches in the U.S. alone. With such intensity in the startup ecosystem, choosing the right platform to host your application is crucial. Fly.io and Render are two options that have been gaining traction among developers, but what do Best Practices Semantic Kernel vs Haystack: Which One for Small Teams Alex Chen / March 19, 2026 Semiotics in Software: Semantic Kernel vs Haystack for Small Teams In the realm of building AI solutions, small teams often face the daunting task of selecting the right framework that not only fulfills technical requirements but also fits their agility needs. Perhaps you’ve heard that LangChain commands a massive 130,068 GitHub stars, while Haystack trails Best Practices How to Implement Webhooks with llama.cpp (Step by Step) Alex Chen / March 19, 2026 How to Implement Webhooks with llama.cpp: Step by Step We’re building a system that allows various applications to communicate through webhooks using llama.cpp, a library designed for running OpenAI’s language model locally. Webhooks are essential for creating real-time applications that need instant updates without polling APIs, a necessity for almost every modern web service. Prerequisites Scroll to Top