Generate a CycloneDX SBOM and deterministic, audit-ready risk report from your package-lock.json. You run npm audit. It says “47 vulnerabilities.” Cool. Which ones actually matter? The one in your production bundle? You don’t know. So you either: Ignore everything → ship anyway Either way, you lose signal. The real problem isn’t vulnerabilities — it’s decision-making Most tools answer: “What is wr
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
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