Introduction It's Black Friday. In the space of a single second, your e-commerce platform processes 4,000 orders, updates inventory counts, triggers fulfillment workflows, and debits customer accounts. Every one of those operations lands in your OLTP database, fast, atomic, precise. None of it, in that same second, tells you that customers are abandoning their carts at three times the normal rat
This blog was originally published on Descope. OpenAI's Custom GPTs offer a powerful way to create AI agents that can interact directly with your APIs through natural language conversations. Imagine you have a deployed FastAPI application that implements DevOps tools such as triggering CI/CD workflows, getting deployment logs, usage analytics, and other operational tasks. While integrating your AP
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
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161 verified AI package hallucinations across 8.5M indexed — open dataset TL;DR: DepScope is a free MCP server + REST API that AI coding agents call before installing packages. We index 8.5M+ packages across 19 ecosystems and track 45K+ vulnerabilities in real time. We also publish a verified open corpus of LLM-hallucinated package names — every entry cross-validated daily, CC-BY-NC-SA. Cite us
An opinionated list of Python frameworks, libraries, tools, and resources
A LinkedIn recruiter pitched me a remote "Software Engineer at a DEX" project this week. Reasonable comp range, tech stack squarely in my wheelhouse. After a couple of friendly exchanges, she asked me to "review the codebase before the technical interview" and sent me a GitHub repo link plus a Calendly invite for the call. The repo was malware. It didn't get me, but it's something developers shoul
You've likely heard that "Data is the new oil". But raw oil is useless without a refinery. In the world of Big Data, Apache Spark is that refinery. Whether it's millisecond-level fraud detection or processing terabytes of logs, Spark's ability to handle massive scale with in-memory speed is why it remains a core skill for every ML & Data Engineer. Here are 5 real-world problems and exactly how Spa