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
I wanted to figure out how people build payment systems without losing everyone's money. It turns out, my first attempt was a great way to lose a lot of it. I started with what felt like a simple Go service. One endpoint, one database table, and a third-party provider to handle the actual charging. The plan was straightforward: Decode the request. Call the provider to charge the user. Save the res
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It's 3am UTC. Someone in your Discord pastes a transaction hash and the message: "did i just get drained??" What happens next is mechanical. A moderator opens the block explorer, scrolls past gas limits and method calls and log topics, decodes the transfer, translates 0xa9059cbb into "this was an ERC20 transfer," cross-references the destination address, then types something like "looks like you s
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
CLMA vs Web Chat: Putting Iterative Verification to the Test Posted on May 6, 2026 · #CLMA #MultiAgent #CodeGeneration #EventSourcing #Comparison #Python All code is open source on GitHub: github.com/kriely/CLMA This is a companion piece to Building CLMA: A Self-Verifying Multi-Agent Framework from Scratch. In that article, I described the framework. Here, I put it to the test — head to head aga
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
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