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Microservices Architecture Style: Pros & Cons

Microservices architecture structures applications as a set of small, independent services that each handle one business function. Teams can deploy, scale, and update each service without changing the rest of the application. This guide explains the core concepts, benefits, design patterns, and implementation steps for microservices architecture.
  • Monika Stando
  • June 25
  • 28 min
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How RAG Architecture Changed: From PDF Chatbots to Context Engineering

Naive RAG built on vector search and mechanical chunking is now an antipattern in production systems. The question has shifted from which vector database to choose to how to deliver the right context from the right source with the right controls. This article explains what drove that shift and what a mature retrieval architecture looks like today.
  • Piotr Piotrowski
  • July 03
  • 14 min
  • PropTech
  • Hicron's Expert View

How to Design Authorization Model for Facility Management Systems

Drawn from work on a production facility platform serving multiple vendors, this article describes early authorization symptoms, a proactive stress test of the current model, and a cleaner design framework built on three separate dimensions: operational scope, organizational relationships, and explicit policies for cross-boundary visibility and management rights.
  • Maciej Roszyk
  • June 26
  • 20 min
  • Software development
  • Hicron's Expert View

Formula Parsing Architecture for Domain Excel Add-Ins

Drawn from work on a production Excel add-in with custom domain functions, this article describes how string-based formula handling carried the first release, where it started to fail as the roadmap grew, and how a compiler-style pipeline with an abstract syntax tree restored roadmap velocity; turning features that previously required fragile string logic into localized tree operations.
  • Maciej Roszyk
  • June 25
  • 25 min
  • Software development
  • Hicron's Expert View

What Developers Should Focus on in the AI Era?

AI makes code cheaper to produce and judgment more valuable. This article argues that the modern developer should invest in business understanding, transferable concepts, and trade-off thinking; not in collecting languages and frameworks.
  • Maciej Roszyk
  • June 24
  • 8 min
  • Software development
  • Hicron's Expert View

What Is the Production Control Stack?

The Production Control Stack is a three-layer system that keeps AI-generated code safe for production. Each layer operates at a different moment in the delivery cycle and each catches a different category of failure. Learn how checklists, tests, and observability keep AI-generated code safe for production. A three-layer system for the new era of software delivery.
  • Piotr Piotrowski
  • June 11
  • 13 min
  • Hicron's Expert View
  • Software development

The AI Code-Production Gap: Guidance for Engineering Teams

AI can write code that compiles and passes its tests, yet still miss the production context that makes software safe to run. The real gap sits between code that simply works and code that is genuinely production-ready: able to be deployed, observed, secured, and rolled back at an accepted level of risk. Closing it.
  • Piotr Piotrowski
  • June 10
  • 11 min
  • Hicron's Expert View
  • Software development

Responsible AI Engineering: Building Production-Ready Systems

Artificial intelligence accelerates software development, but it does not automatically generate production-ready systems. Teams mistake a local, compiling feature for a system that can handle real-world traffic. This comprehensive guide breaks down the true meaning of "production-ready" in the era of AI agents. Explore how to bridge the gap between AI-generated code and enterprise-grade system resilience through rigorous quality gates, strategic architecture, and a fundamental shift in engineering paradigms.
  • Piotr Piotrowski
  • June 09
  • 10 min
  • Software development
  • Hicron's Expert View

Cognitive Guardrails for AI Agents in Software Development: TDD, DoR, and DoD 

Integrating AI agents into development workflows requires strong engineering structures to prevent costly errors from unstructured outputs. Cognitive guardrails provide these necessary boundaries for autonomous systems, shifting the focus from model intelligence to structural precision. By implementing Test Driven Development (TDD) and strict Definition of Ready/Done protocols, organizations can stabilize AI workflows and ensure predictable outcomes.
  • Piotr Piotrowski
  • May 19
  • 11 min
  • Hicron's Expert View
  • Software development

Why Frameworks Matter In AI Software Development?

Artificial intelligence tools write basic code with extreme speed. Problem framing is now the primary bottleneck for engineers. Developers need to specify exactly what they want built. Clear specification previously acted as an administrative overhead. Clear specification now acts as your primary point of leverage.
  • Piotr Piotrowski
  • May 08
  • 8 min
  • Hicron's Expert View
  • Software development

The Autonomy Ladder of AI in Software Development

The autonomy ladder of AI in software development defines how AI assists engineers. It ranges from basic code completion to fully autonomous systems. Software development shifts from writing code to designing context. Engineers now focus on setting constraints and reviewing AI decisions.
  • Piotr Piotrowski
  • May 07
  • 15 min
  • Hicron's Expert View
  • Software development

How AI is Changing the Software Development Life Cycle (SDLC)

The evolution of software engineering is driven by shifting economic bottlenecks, and we are now experiencing a paradigm shift where the SDLC is moving away from manual typing toward a model where engineers delegate tasks to AI. Understanding this transition from basic autocomplete to autonomous agents is essential for adapting to the new realities of software engineering. This change redefines the core work of software professionals.
  • Piotr Piotrowski
  • May 06
  • 13 min

Testimonials

What our partners say about us

Hicron Software proved to be a trusted partner with unmatched technical expertise, delivering a scalable and user-friendly web application that was pivotal to our successful U.S. market expansion.

Mikko Hyvärinen
Director of Software Portfolio at iLOQ

Hicron’s contributions have been vital in making our product ready for commercialization. Their commitment to excellence, innovative solutions, and flexible approach were key factors in our successful collaboration.
I wholeheartedly recommend Hicron to any organization seeking a strategic long-term partnership, reliable and skilled partner for their technological needs.

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Günther Kalka
Managing Director, tantum sana GmbH

After carefully evaluating suppliers, we decided to try a new approach and start working with a near-shore software house. Cooperation with Hicron Software House was something different, and it turned out to be a great success that brought added value to our company.

With HICRON’s creative ideas and fresh perspective, we reached a new level of our core platform and achieved our business goals.

Many thanks for what you did so far; we are looking forward to more in future!

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Jan-Henrik Schulze
Head of Industrial Lines Development at HDI Group

Hicron is a partner who has provided excellent software development services. Their talented software engineers have a strong focus on collaboration and quality. They have helped us in achieving our goals across our cloud platforms at a good pace, without compromising on the quality of our services. Our partnership is professional and solution-focused!

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Phil Scott
Director of Software Delivery at NBS

The IT system supporting the work of retail outlets is the foundation of our business. The ability to optimize and adapt it to the needs of all entities in the PSA Group is of strategic importance and we consider it a step into the future. This project is a huge challenge: not only for us in terms of organization, but also for our partners – including Hicron – in terms of adapting the system to the needs and business models of PSA. Cooperation with Hicron consultants, taking into account their competences in the field of programming and processes specific to the automotive sector, gave us many reasons to be satisfied.

 

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Peter Windhöfel
IT Director At PSA Group Germany

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