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
My time at the dvloper.io academy was a transformative experience designed to bridge the gap between basic programming knowledge and enterprise-level software development. The primary objective of the program was to familiarize students with real-world applications, full-stack development, and professional workflows, all within a structured Agile methodology emphasizing continuous
At dvloper.io, we believe that code quality is not just a nice-to-have. It is the foundation of sustainable software development. As our portfolio grew to include complex platforms like JIRA AI, NationalHR, and Backstage.io, we faced a common challenge: how do we maintain consistent code quality standards across
The ESTEEC Olympics Hackathon has officially concluded, and the results were nothing short of impressive. While the energy of a hackathon is often about the "game", this event was rooted in a much larger mission. It served as a promotional platform for the Cyberguard project—a major European initiative where
We’re proud to share that several members of our team won the NASA Space Apps Challenge 2025, the world’s largest global hackathon for innovation using NASA data. Their project, AiRo, stood out for its bold approach to one of the most pressing issues of our time: air quality
In today's fast-paced IT operations and development environment, teams are drowning in tickets, runbooks, and scattered knowledge across JIRA, and countless documentation repositories. What if you could transform your entire incident history, knowledge articles, and runbooks into a single, secure AI brain – in less than a day? Meet the AI
While testing Skyvern with different integrations, our teammate Serena ran into some unexpected authentication issues when connecting it to Bitwarden. She not only solved the problem, but also improved Skyvern so others won’t face the same roadblocks. Here’s what she had to say. The Problem: Vague Authentication Errors