vFunction

Most modernization challenges aren’t new. They’re the ones that never got resolved. What’s the real blocker you’re carrying forward?

Your modernization plans for 2026 is already being limited by decisions you made years ago. Most organizations enter the new year talking about AI acceleration, cloud optimization, and faster delivery. But underneath those goals sits the same constraint: applications that were never designed to move this fast. Your teams don’t lack ambition. They lack architectural clarity. Developers spend weeks navigating dependencies they didn’t create. Architects debate diagrams that don’t match production reality. Leaders approve roadmaps without visibility into what’s actually slowing things down. And none of that shows up cleanly in a KPI. As 2026 approaches, this gap becomes impossible to ignore. 🛑 You can’t scale AI initiatives on architectures that seem like black boxes. 🛑 You can’t modernize faster when complexity is invisible. 🛑 And you can’t fix what you can’t see, especially at runtime. The teams that will move faster in 2026 aren’t doing more modernization. They’re doing smarter modernization, grounded in architectural intelligence that lives inside the workflow, not in a slide deck. That’s why we created The 2026 Application Modernization Buyer’s Guide. Not as a prediction. As a reality check. If you're resetting priorities for the year ahead, this is where to start 👇

That quiet week between holidays and planning season is usually when the real questions surface. What’s actually slowing our teams down? What modernization work keeps getting pushed? And what are we carrying into next year that we don’t need to? If application complexity and architectural debt are on your 2026 list, this is a good place to start. vFunction’s use cases show how teams are modernizing from the architecture up, not just moving workloads around. Take a look when you have a moment: 👉 https://lnkd.in/ec39n6d4

It was the closest race yet when it came to the top programming language of the year. 👀 So, which are you using more often: TypeScript or Python?

Cut your organization's cloud waste, boost governance, and fast‑track AI adoption with Azure's native tools and strategic pricing. Ground in real-world insights, a newly commissioned Forrester TEI study from Microsoft found: • 35% reduction in cloud spend in Year One • $4.9M in direct savings from Microsoft Cost Management, Azure Advisor, and the Azure pricing calculator • $3.8M in additional savings from Azure Savings Plans, Reservations, and Azure Hybrid Benefit • 24% productivity lift by Year Three as FinOps teams refocus on higher‑value initiatives like AI 🔗Read the blog: https://msft.it/6044tU8Qa

Holiday wish list 👀 ✨ Cleaner architecture ✨ Faster modernization ✨ Less technical debt to carry into the new year vFunction brings architectural intelligence directly into the developer workflow, giving modernization teams real context, not static diagrams or guesswork. If modernization is on your 2026 resolution list, this is where it gets real 👇

You've GOT to read this. It's a great one. In 2026, architectural modernization and GenAI converge. Here’s where our CEO and Co-founder Moti Rafalin believes the playbook is heading 👇

Matt Garman called the idea of AI displacing junior employees “the dumbest idea.” He’s right, but not for the reason most people think. The real risk isn’t fewer people writing code. It’s more code being written faster than the architecture can sustain. GenAI is exceptional at producing code. It is not exceptional at understanding: 🔴 system-wide structure 🔴 runtime dependencies 🔴 architectural boundaries 🔴 long-term operational impact Without architectural clarity, AI doesn’t simplify systems, it accelerates: ❌ dependency sprawl ❌ duplicated logic ❌ hidden coupling ❌ technical debt at scale Junior engineers don’t become obsolete in this world. They become more critical, if they’re working from a shared, accurate understanding of how the system actually behaves, not just what’s written in a repo or diagram. That’s why modernization in 2026 is about bringing architectural reality into everyday development decisions. You can’t sustainably scale AI-assisted development on top of architecture you can’t see, measure, or govern. Move fast without that foundation, and speed becomes the liability. — Architecture first. AI second. Velocity that lasts. Coverage by Sasha Rogelberg for Fortune.

Lift-and-shift got you to the cloud, but modernization is how you actually unlock the value. This guide covers the patterns teams are using to shift to AWS-native services without destabilizing core systems, plus how to leverage available AWS incentives and funding. It also includes a practical decision matrix (Lambda vs. ECS vs. EKS) that is helpful for anyone navigating that transition. Read the full breakdown on the vFunction blog: https://lnkd.in/eav_3bRD