An opinion piece by Mihai Chihaia, Chief Revenue Officer at dvloper.io Artificial intelligence is rapidly changing the way software is built. Generative models can now write code, generate tests, document applications, and automate an increasing share of tasks that, until recently, required a developer’s direct involvement. But if
Part of the dvloper.io team spent VMware Explore 2026 in Las Vegas. Here is what we did there and the Private AI and agent themes we brought back.
SharePoint is often seen as a place to store documents, publish announcements, and share information. For this project, we wanted to take it further. The goal was to create a central platform for internal ISO compliance information and the processes that sit around it. Employees needed a clear place to
At the end of August, our team, together with our strategic joint venture partner AxelCore, will be in Las Vegas for VMware Explore 2026, where we'll be meeting with customers, partners, and members of the VMware community to discuss the future of enterprise private cloud. Every year, VMware Explore brings
In today's fast-paced tech landscape, traditional education often falls short of preparing developers for the realities they'll face in production environments. Our Core Competencies Academy bridges this gap—not by lecturing from a textbook, but by immersing learners in authentic, end-to-end application development with experienced mentors guiding every step. From
Building a support agent that survives the restart
Your AI assistant works. That’s not the problem. The problem is that nobody is actually using it. It passes the demo, the answers are solid, and stakeholders sign off. It looks like a success. Then it goes live, and usage quietly drops. People tried it, found it helpful enough,
Key European Cybersecurity Events — January to March 2026 The first quarter of 2026 marked an intense period of engagement for our teams across Europe. Our people participated as speakers, presenters, and technical contributors in four major cybersecurity events — spanning Greece, Italy, and Romania — all tied to EU-funded projects in which
In most enterprise deployments, the model is not the limiting factor. The failure appears at the system level, once the AI is exposed to real operational conditions. In a controlled demo, inputs are predictable, context is bounded, and retrieval pipelines operate on clean, well-structured data. Latency is stable, and responses
The model is a commodity. The layer that determines whether your enterprise agent survives production is the ontology underneath.
The problem every growing engineering organization eventually runs into At some point, every team stops being able to remember everything it has already learned. The knowledge is there sitting in ten thousand Jira tickets, buried in comment threads, resolution summaries, and carefully-written post-mortems of incidents from years ago. All of
Dvloper is entering Phase 3 of a strategic AI collaboration with a Fortune 10 infrastructure leader, evolving an enterprise assistant into a more advanced agentic system designed to reason across complex internal knowledge and support real operational workflows in production environments. Enterprise AI rarely fails during training. It fails in