VirtusLab's Articles

Artificial Intelligence|Published: Mar 25, 2026

AI and the Future of Monorepos: An interview with Piotr Kukiełka

For years, the industry moved away from monorepos toward microservices and smaller repositories. Recently, however, the conversation has started to shift again - and AI may be one of the reasons. As AI tools become part of everyday development workflows, the way engineers interact with large codebases is changing. Piotr Kukiełka shares his perspective on how large codebases work in practice and why AI might influence how companies think about monorepos.

Artificial Intelligence|Published: Mar 24, 2026

Secure by design for Agentic AI in Insurance

Learn how insurers can secure AI agent platforms through threat modeling frameworks like OWASP, MAESTRO, and MITRE ATLAS. This guide covers prompt injection risks, trust boundaries, and compliance with DORA and EU AI Act.

Artificial Intelligence|Published: Jul 22, 2025

VirtusLab's Guide to Agentic Programming on the JVM Part 1

Explore how MCP transforms JVM tools like WildFly and Ghidra into LLM-driven operations, diagnostics, and reverse engineering servers. Discover how agents can now run diagnostics, decompile malware, and even query applications—all via chat.

Cloud Engineering|Published: Dec 11, 2024

What is platform engineering and its role in modern IT

Platform engineering builds Internal Developer Platforms (IDPs) to simplify infrastructure management, improve developer experience (DX), and boost productivity through self-service capabilities.

Backend Engineering|Published: Nov 13, 2024

Deep dive into Bazel queries: from basics to advanced use cases

This article will guide you through a notable subset of Bazelʼs querying features backed by examples. These are useful for debugging, exploration, and tooling. We’ll start with basic Bazel queries with target patterns, then we will move on to demonstrating Bazel aquery and cquery.

Frontend Engineering|Published: Oct 31, 2024

Understanding micro frontend architecture: benefits, challenges, and best practices

The micro frontend architecture gives engineering teams flexibility in developing and maintaining different parts of the application. However, this comes with drawbacks, such as an increased total size of the code and an additional layer of complexity. In this article, we will go through the pros and cons of this architecture and share our recommendations for implementing it in your project.

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Frontend Engineering|Published: Aug 31, 2024

What is the best micro frontend framework right now? Insights from our experience

There is more than one way to build a micro frontend architecture. The most sensible, and popular, is via the appropriate framework. If you're short on time, here's our quick take: single-spa is likely the framework you'll want for your project right now. It is light, fast and reliable.

Cloud Engineering|Published: May 15, 2024

How to create a reference architecture with Kubernetes on Azure an extensive guide

From complexity to confidence. Read our extensive guide to navigate the complex environment of Kubernetes on Azure.

Cloud Engineering|Published: Mar 28, 2024

Reference Architecture: A roadmap to efficiency and scalability

Reference architecture is a how-to guide packed with company-approved strategies, filling knowledge gaps. This is a roadmap to creating one.

Data Engineering|Published: Sep 27, 2023

What is data mesh? Redefining data platform architecture

Data Mesh has been founded on four key principles that revolutionized data management. It focuses on decentralization, domain-oriented teams, data-as-a-product, self-serve platform, and federated governance.