Railway vs Fly.io: The Showdown for Startups
As of now, 2023, numerous startups are on the hunt for the right cloud platform to build and deploy their applications efficiently. How do you choose between two strong contenders like Railway and Fly.io? With Railway boasting a plethora of integrations and Fly.io offering impressive edge capabilities, it’s
March 23, 2026
The Algorithmic Mirror: What AI Reveals About Our Own Agency (and How to Not Break It)
I woke up this morning to a notification from my “smart” coffee maker – a gentle reminder that my usual Monday blend, a dark roast I’ve been loyal to for years, was running low. It also
It’s March 2026, and I’m still trying to figure out if I’m an agent or just a really complicated Roomba. That’s probably not the opening you expected from a tech blog, but honestly, it’s where my head is at these days. The world of AI has moved beyond just chatbots and image generators; we’re talking
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
Alright, let’s talk about something that’s been nagging at me, something that keeps popping up in my Slack channels and late-night thought spirals: the slow creep of AI into our decision-making processes, specifically when it comes to hiring. Not the big, obvious stuff like resume parsing – we’ve all seen that – but the subtle,
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.
It’s 2026, and I’m still trying to figure out if my smart thermostat is judging my excessive use of the “boost” button. Seriously, the way it subtly shifts its display from a cheerful blue to an accusatory orange when I crank it past 22 degrees feels like a passive-aggressive swipe from a digital entity. And
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