Where It All Began: 2019 re:Invent AWS CDK had just gone GA that year with TypeScript and Python support. At re:Invent 2019, I saw AWS present how to contribute to CDK for the first time. There was no AI back then — everything was manual. Clone the entire monorepo, figure out the Lerna project structure, manually build dependent packages, write L2 constructs, write tests, submit a PR. Every step
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
The Challenge: Beyond the "Lift and Shift" Fatigue The real fear isn’t migration itself—it’s operational fragmentation: different tools, different processes, and different failure modes between the data center and the cloud. After deep-diving into the Nutanix ecosystem, I realized that the goal shouldn't be just moving VMs, but achieving operational symmetry. This is where Nutanix Cloud Clusters
First Release of LDL 0.1 — A Small Library with a Big Soul. One API for 30 Years of Computer History Hello, developers! I'm excited to announce the first public release of the LDL library. LDL (Little Directmedia Layer) is more than just a cross-platform library — it's a bridge between different eras of software development. It lets you write code that runs just as well on Windows 95 as it do
Lo sviluppo software nel 2024 non riguarda più solo la scrittura di righe di codice sintatticamente corrette. È diventato un esercizio di gestione della complessità, orchestrazione di sistemi e, sempre più spesso, integrazione intelligente dell'AI. In questo articolo, esploreremo i pilastri che definiscono l'ingegneria del software moderna e come rimanere rilevanti in un ecosistema che cambia ogni
You've heard about Hermes Agent - the open-source, self-improving AI assistant that remembers what matters, builds reusable skills, and can live on your own infrastructure. It sounds brilliant. And it is. But then comes the practical question: where should you actually run it? You have two main paths. You can roll up your sleeves and set up a VPS yourself - install everything, configure the messag
macOS tar destroys files on Linux: I validated it in my real Railway pipeline and documented the 3 cases nobody mentions There's a Hacker News thread that resurfaced this week with 107 points about a 2024 article: tar on macOS creates archives that Linux can't extract cleanly. The community reacted the way it always does — "use GNU tar", "install gtar with Homebrew", "this has been known for yea
Tar en macOS destroza archivos en Linux: lo validé en mi pipeline real de Railway y documenté los 3 casos que nadie menciona Hay un hilo en Hacker News que resurfaceó esta semana con 107 puntos sobre un artículo de 2024: tar en macOS crea archivos que Linux no puede extraer limpiamente. La comunidad reaccionó como siempre: "usá GNU tar", "instalá gtar con homebrew", "esto es conocido desde hace