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 spent weeks optimizing: performance Lighthouse scores bundle size lazy loading SEO structure …while completely ignoring the thing users actually saw first: The link preview. Not the website itself. The preview card inside: Telegram Discord LinkedIn X Slack Facebook Reddit And after building more browser-based developer tools, I realized something important: A broken or low-quality Open Graph
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
If this is useful, a ❤️ helps others find it. I've shipped multiple apps with AI features. My AI infrastructure cost: $0/month. Here's exactly how — every tool, every limit, every workaround. Free tier: 500 req/day (Gemini 2.5 Flash), no credit card Best for: Strong reasoning, document analysis, code debugging Get it: aistudio.google.com 2. Ollama — Local LLMs Free tier: Unlimited
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
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