The math isn't complicated. It's just that nobody runs it until they get the bill. An AI agent handling a 10-turn workflow — reading files, calling tools, revising output — doesn't cost 10x a single query. Because transformer inference processes the entire context on every call, cost compounds with each additional turn. The tenth turn carries everything that preceded it: the original file reads, e
Today I started learning Python, and I explored some fundamental concepts that helped me understand how Python actually works behind the scenes. Python is a high-level, interpreted programming language. Being high-level means it is easy to read and write, as it is closer to human language and abstracts away hardware complexity. This makes it very different from low-level languages like assembly or
In this guide we’ll build a Decentralized, Autonomous Vacation Booking System in Python using the Protolink library. The original post can be found on medium (Level-up-coding). The landscape of AI agents is shifting. We are moving away from monolithic scripts driven by a single giant model, towards Multi-Agent Systems (MAS) where specialized, autonomous agents collaborate to solve complex problems
The Nightmare of Parsing Invoices If you’ve ever tried to extract structured data from an invoice or receipt, you know exactly how painful it is. You write a perfect regular expression to extract the total amount from one vendor. It works beautifully. Then, a new vendor comes along with a slightly different format, and your regex silently fails, breaks your pipeline, and leaves you cleaning up
Most agency onboarding fails before the kickoff call happens. Not because the team isn't good. Not because the client is difficult. Because nobody collected the right context upfront, and the kickoff call becomes the place where everyone discovers what they don't know yet. The intake form is the fix. Not a 3-question "tell us about your project" form. A real one. Here's the framework we use — 27 q
Every few years the industry rediscovers that programming languages are not religions. Then we immediately behave like they are religions. Someone posts a benchmark. Someone else says memory safety. Someone says developer experience. A distributed systems person appears from under a bridge and whispers “Erlang solved this in 1998.” A startup founder announces they are rewriting their CRUD app in R
Or: how we learned that “eventually” isn’t good enough when you’re bleeding file descriptors Or: how we learned that “eventually” isn’t good enough when you’re bleeding file descriptors Deterministic cleanup means knowing exactly when resources are freed — the difference between memory chaos and predictable system behavior in production environments. So our video transcoding service was… how d
Our goal has always been to be the go-to blockchain node platform across any chain and environment. Today, that includes the nodes you run on your own hardware. Running your own Ethereum infrastructure should be the basic right of every individual and household. Nodes should be easy. The catch? Self-hosting has always meant complexity. Manual setup, client updates, nodes falling out of sync, moni