Insights

Latest insights

Notes on software engineering, AI in production, and enterprise security from the dvloper.io team.

May 18, 20261 min read

Your AI Works. Your Team Doesn’t Use It.

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, and then returned to their usual way of working. No complaints. No escalation. Just silence. This is usually where most companies get it wrong. The issue is labeled as adoption. More training is proposed. Internal nudge

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May 5, 20264 min read

Q1 2026 Events Highlights

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 we are active consortium partners. Here is a summary of what took place and how we contributed. 1. CYBERGUARD — 1st General Assembly Meeting 29 January

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April 29, 20261 min read

Your AI Works in the Demo. The System Fails Under Load.

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 are evaluated in isolation. Under these conditions, the system performs as expected. Production introduces a different set of constraints. Queries are less structured a

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April 24, 20268 min read

The LLM Is the Easy Part: Why Ontology-Driven Agents Are the Only Ones That Survive Production

The model is a commodity. The layer that determines whether your enterprise agent survives production is the ontology underneath.

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April 15, 20265 min read

JiraAI: Turning a Decade of Jira Tickets Into an Answer Engine Your Team Can Actually Trust

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 it is searchable, technically. None of it is findable in the way a human actually asks questions. New team members spend their first weeks asking questions

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March 17, 20264 min read

From Assistant to Agent: Phase 3 of an Enterprise AI System at Fortune-10 Scale

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 production. That reality has shaped our collaboration with a Fortune 10 infrastructure leader, where the goal was never to build another impressive assi

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March 9, 20262 min read

A Month-by-Month Skill Growth Retrospective

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 delivery and iterative improvement. The curriculum followed two-week sprints, with tasks building on each other and

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February 16, 20263 min read

Elevating Code Quality with SonarQube at dvloper.io

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 diverse teams and technologies? SonarQube became our answer, a powerful static code analysis platform that has transformed how we approach quality assurance. In this article, I will sha

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November 27, 20252 min read

Retrospective on the ESTEEC Olympics Hackathon

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 our team holds key development responsibilities. The Cyberguard Connection Cyberguard (funded by the European Commission’s Digital Europe Programme) is dedicated to "Fortifying SOCs Agai

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