TGI vs llama.cpp: A Showdown for Small Teams
Start with this: TGI from Hugging Face has 10,811 GitHub stars, while llama.cpp lags behind. But let’s be real—stars don’t mean squat if the tool doesn’t get the job done. In a world where small teams need efficiency but lack the luxury of extensive resources, the choice
Listen Up: Picking Up Where I Left Off
I remember my first time contributing to the OpenClaw project. It was exhilarating and terrifying all at once. I had zero clue about what lay behind those hundreds of files. But once I cracked open the code and started fiddlin’ with plugins, it felt like discovering a
Hey everyone, Kai Nakamura here from clawdev.net! It’s been a minute since I dove deep into the nitty-gritty of what makes our AI dev world tick, and today, I’ve got something that’s been on my mind for a while. We talk a lot about building models, training data, and optimizing algorithms, but what about the
How to Add Vector Search with Claude API: Step by Step
Today, we’re going to tackle a highly demanded aspect of modern applications: adding vector search capabilities using the Claude API. If you’re aiming to provide quick and accurate search results from large datasets, vector search is where you want to be.
Prerequisites
Express vs tRPC: Which One for Production?
Express has over 57,000 GitHub stars. tRPC, on the other hand, doesn’t even crack the 10,000 mark, and honestly, stars don’t ship features. Let’s break down these two frameworks and see which is worth your time and energy for production applications. The ongoing debate in the development community
You know that feeling when a software platform you’re working with doesn’t have that one feature you desperately need? That’s basically how I ended up knee-deep in OpenClaw plugin development. There I was, itching to tweak a few things and after hitting a wall one too many times,
If you’ve ever spent 3 hours debugging an OpenClaw config only to realize you forgot a comma, welcome to the club. Configuring OpenClaw can feel like decoding an alien language, but once you crack the code, it’s like finding a secret menu at your favorite fast food joint — lots more options than you thought.
Hey everyone, Kai Nakamura here, back on clawdev.net! It’s March 20, 2026, and the AI dev world is, as always, buzzing. I’ve been thinking a lot lately about how we, as individual developers and smaller teams, can really make a dent in this fast-moving space. We’re not Google or OpenAI, right? We don’t have infinite
Embedding Model Selection Checklist: 10 Things Before Going to Production
I’ve seen 5 production deployments fail this month alone, all due to common mistakes when choosing the right embedding model. It’s insane to me that in 2023, developers still overlook critical aspects of embedding model selection, leading to wasted resources and failing projects. The embedding
Claude API vs Groq: Which One for Small Teams
Claude API currently enjoys 85,000 GitHub stars. Groq’s library, however, has not made a similar splash and has no GitHub data available. It’s vital to recognize that stars aren’t the metric that determines any product’s success in your project—functionality is what ships the features.