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I did not start out trying to build something impressive. If I am being honest, I just wanted to build something that actually worked… without trying to squeeze money out of people for basic features
This article was originally published on Ciro Cloud. Read the full version here. Deployment failures cost enterprises an average of $300,000 per incident. Most could be prevented with the right platf
The Problem Nobody Talks About There are 3 billion smartphone users in emerging markets. Millions of government apps serving citizens in Pakistan, India, UAE, Nigeria, Kenya, Brazil, and be
We've all been there. Your app is sending requests to a third-party API, something's going wrong, and all you can see in your browser's Network tab is a bunch of opaque responses that tell you absolut
Alright, let’s talk about AI coding. If you’ve been using ChatGPT, Codex, Claude… whatever your weapon of choice is — you’ve probably felt this already. Sometimes it’s insane. Like… how did it just wr
If you still think of GitHub Copilot as "the thing that autocompletes your code," you're about two years behind. That's not a criticism - the product has changed faster than most people's mental model
Founders rarely fail because they lack tools. They fail because context leaks everywhere. An investor call happens on Monday. A customer complaint lands on Wednesday. A hiring candidate mentions a sa
What happens if we take a scientific approach to analyzing the most common claims about GraphQL vs REST? You might be thinking that you know the answer to most of these claims, and even I thought I di
Jibun Corp's AI Hub Reaches 35 Providers: Adding SiliconFlow and Novita AI We just crossed 35 providers in our unified AI Hub feature. Today we're adding two more OpenAI-compatible inferenc
As RFID deployments grow more sophisticated, so does the software stack that powers them. You might have one AI model for serial number generation, another for error correction, a third for read range
All Data and AI Weekly #238-20April2026 ( AI, Data, Agentic AI, Cortex Code, NiFi, Iceberg, Polaris, Streamlit, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstruct
The new Claude Opus 4.7 tokenizer is silently eating your budget. I ran the same prompts through both 4.6 and 4.7 last week. Identical code, identical context. 4.7 used 33-50% more tokens depending o
I was spending $45/month on the Claude API. Not crazy money, but it bugged me because I knew most of my tokens were going to simple tasks that didn't need Opus-level reasoning. here's what worked.
Yesterday, my homelab server suddenly became unresponsive. It started with a flurry of Discord notifications, the universal signal that something has gone seriously wrong. I found all services offlin
How to Get Zillow Data Using a REST API in 2026 (No Scraping Required) Getting property data from Zillow has always been a headache for developers. The official Zillow API was deprecated in
Every factory has two kinds of knowledge. There's the kind that lives in binders — official manuals, error code sheets, maintenance schedules. And then there's the other kind: the stuff that lives in
In Part 2, I had a working REST API with two endpoints. You could create entries and query them. But anyone could hit the API — no login, no tokens, no protection. This post is about the day I decide
Less Than Six Hours From Idea to Dev Release: Building a Drupal Module With AI, Deliberately Last night, during a Chattanooga Drupal User Group call, Mike Herchel invited Pameeela to share
TL;DR: An LLM gateway sits between your application and LLM providers, handling routing, failover, cost controls, and observability. I tested five gateways against ten evaluation criteria. Bifrost won
Episode 1: Follow the Yellow Brick Road "Toto, I've a feeling we're not in Kansas anymore."— Dorothy Gale, The Wizard of Oz (1939) The Grey Skies of Kansas 🌩️ Kansas is a trad