Bachelor's degree in Computer Engineering from University of Buenos Aires. Specialized in Programming, Project Management, and R&D in web technologies.
AI tools have become a standard part of how software gets built. Code assistants, RAG pipelines, LLM-powered features—they’re everywhere. And as teams integrate AI into software engineering workflows, a quiet problem has been building: most teams aren’t treating AI-assisted development with the same security rigor they’d apply to everything else. A thread on r/devsecops put…
It’s 5:00 PM. You’ve been “on” all day—standups, incident chatter, stakeholder pings, a surprise roadmap question, and a calendar invite you didn’t accept but couldn’t ignore. You close your laptop exhausted… and slightly uneasy, because the one thing you needed most—an uninterrupted block of deep work—never happened. For tech leaders, that feeling isn’t just a…
The question most developers are quietly asking isn’t “will AI replace me?” It’s something more practical: what do I need to know to stay valuable as AI in engineering reshapes my role? That’s the right question. And the answer isn’t “learn to use Copilot.” It’s significantly broader than that. According to PwC’s research on GenAI…
Most developers aren’t losing to AI. They’re losing to developers who’ve figured out how to use it well. That’s the real split happening in engineering teams right now. Not “humans vs. AI” — but engineers who’ve integrated AI into their daily routines in a deliberate, disciplined way, and engineers who still treat it as an…
You’ve probably seen it before: a team ships a feature on time, under budget, exactly to spec — and nobody uses it. Or a PM writes a perfectly reasonable brief that engineering then spends two sprints re-scoping because the spec missed half the technical constraints. Both scenarios cost time, money, and trust.These aren’t execution failures.
Is there a software engineer shortage in 2026? Yes, for senior engineers in AI, cloud, and security. What the latest data shows and how teams hire around it.
Security engineers ($150K–$247K), data architects and ML engineers lead 2026. See US salaries and nearshore hiring costs for the 11 highest-paying coding jobs.
Every CTO knows the moment: you’re about to greenlight a new build (or a major rebuild), deadlines are tight, stakeholders want confidence, and the team is pushing for choices that will determine the next 2–5 years of delivery. You’re trying to balance speed-to-market with scalability, stability, security, and—now—AI readiness. The pressure is real because the…
Generative AI is no longer a “nice-to-have” for engineering teams. It’s quickly becoming part of the default toolchain—alongside your IDE, CI/CD, and observability stack. The reason is simple: when used well, generative AI for developers reduces friction across the software development lifecycle and helps teams ship faster without requiring a linear increase in headcount. Adoption…
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