AI agents are blowing up in the enterprise right now. But shipping secure, production-grade integrations for those agents is a whole other beast. Security and compliance nightmares crop up fast. Building out admin portals, managing authentication flows, syncing tons of customer data-all while keeping engineering sane? It’s not fun. That’s why I went deep on the latest generation of secure integrat
Cuando una aplicación necesita leer un archivo, escribir en una conexión TCP o esperar datos de un disco, el kernel de Linux ofrece tradicionalmente dos caminos: bloquear el proceso hasta que la operación termine, o usar interfaces como epoll y Linux AIO para manejar múltiples operaciones concurrentes. Durante casi tres décadas, esas fueron las opciones dominantes. Pero desde la versión 5.1 del ke
When Google announced the Manifest V3 deadline, the developer community had a lot to say — most of it negative. The service worker model was rightly criticized as a regression for ad blockers and complex extensions. I've now migrated 18 extensions from MV2 to MV3, or built them MV3-native from the start. The commonly documented issues (no persistent background pages, limited webRequest) are real.
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
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
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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