Blog & Articles

From FOMO to Focus

AI is on every agenda – but where do you start? Many companies launch multiple AI initiatives in parallel, driven by the fear of missing out. The result: scattered resources, lack of prioritization, and unclear business impact. AI Opportunity Mapping provides a solution: it systematically guides you from vague AI visions to concrete, prioritized use cases with real business value. In five steps, teams develop AI opportunities in a structured way and make well-founded decisions. The result: focus instead of FOMO, clarity instead of chaos.

Speed vs. Skill

Every AI coding tool promises the same thing: unprecedented speed, effortless productivity, freedom from tedious work. The pitch is compelling. But what if feeling more productive and being more capable aren’t the same thing? Research shows that automation makes us feel more productive while eroding our skills. Let’s examine this tension through the lens of cognitive psychology.

Menschenlesbare Datenformate mit Jackson verarbeiten

Jackson kann mehr als nur JSON

Context Engineering: Managing AI-Generated Code Complexity

AI tools make developers more productive at writing code, but can overwhelm code reviewers with massive changes. Learn practical strategies for managing context in AI-assisted development to keep your code comprehensible, your reviews manageable, and your team’s productivity genuinely improved. Small scope was always good practice—with AI, it’s essential.

Prompts als Programm in GPT-5

All Caps, Gebettel und Geschrei – Schnee von gestern. GPT-5 befolgt brutal jede Instruktion, selbst in versteckten Nebensätzen. Und verhungert, wenn wir nicht genau sagen, was wir wollen. Welche Konsequenzen hat das für Prompt Engineering und Agentenentwicklung?

Swiss Army Knife for Salesforce: LLM with In-Memory Database

Git Clarity: Building Meaningful Commits and Linear History

Feeling overwhelmed by Git’s complexity? Discover a streamlined workflow that centers on creating single, comprehensible commits. Learn how this approach leads to clearer code reviews, fewer merge conflicts, and a beautiful linear commit history that tells the story of your code. This isn’t just about Git commands—it’s about aligning your tools with how your brain works.

Achieving Digital Sovereignty with Standard Software

In the context of IT system landscapes, digital sovereignty is often equated with autarky— complete independence from third parties. By that logic, , a company developing and operating all applications in-house would be the ultimate example of digital sovereignty. But does this idea really hold up?

Managing Geopolitical Risks with Enterprise Architecture

Modern Legacy (dank KI)

Die Diskussion über Softwaremodernisierung wird derzeit stark von Lösungen rund um künstliche Intelligenz (KI) in der Softwareentwicklung geprägt. KI gestützte Code-Vervollständigung, Agentic Software Engineering und weitere Werkzeuge versprechen, Entwicklungsprozesse massiv zu beschleunigen. Der Gedanke liegt nahe, diese Werkzeuge direkt am bestehenden Code einzusetzen: Refactorings, Redokumentation oder sogar generierter Code für neue Funktionen in vorhandenen Legacy Systemen. Technisch ist hier bereits viel möglich und auch die Buzzword-Industrie ist hier wieder massiv unterwegs. Doch diese Code-nahen, KI-getriebenen Ansätze können für Unternehmen, die sich mit einem Dschungel aus Legacy Systemen auseinandersetzen, zu kurzsichtig sein. Eine Modernisierung, die von Anfang an nur auf Code zielt, führt schnell zu Modern Legacy: Systeme, die dank KI-Unterstützung technisch hochmodern und vorbildlich dokumentiert wirken, deren eigentlicher Zweck aber längst fragwürdig ist.

Modern Legacy (thanks to AI)

The discussion around software modernization is currently dominated by solutions involving artificial intelligence (AI) in software development. AI-assisted code completion, agentic software engineering, and other tools promise to massively accelerate development processes. The obvious thought is to apply these tools directly to existing code as well: refactorings, re-documentation, or even generated code for new features in legacy systems. Technically, much of this is already possible, and the buzzword industry is once again in full swing. Yet these code-centric, AI-driven approaches can be shortsighted for organizations tangled in a jungle of legacy systems. A modernization that focuses solely on code quickly leads to modern legacy: systems that appear technically advanced and well documented thanks to AI, but whose actual purpose has long become questionable.

A Governance Framework for Digital Sovereignty

The Path to Heterogeneous Cloud Platforms

Digital transformation brings both challenges and opportunities for businesses. To create future-proof and flexible IT infrastructures, more and more companies are adopting multi-cloud or hybrid cloud strategies. This isn’t just about cost reduction, but also about aligning innovative services from different providers with regulatory requirements - particularly in the area of data protection. This article shows how targeted integration strategies can help you leverage the benefits of multi-cloud to optimize your existing infrastructure, reduce technical dependencies, and ensure long-term business success.

Data Inventories in the EU Data Act: The Democratization of IoT Devices

Starting in September 2025, the EU Data Act (Regulation (EU) 2023/2854) will require companies that collect or process data from connected devices to maintain comprehensive data inventories.

Digital Sovereignty: Why Architecture Matters and How to Make Your Company Resilient

Think Locally: On-Premise LLMs as Drivers of Competitive Advantage

Consider this scenario: Your organisation has integrated AI tools into critical business processes, your legal team has carefully reviewed data processing agreements, and your IT department has configured systems to comply with GDPR requirements. Then, a foreign court issues an order that overrides all these protections, requiring your AI provider to indefinitely retain data that should be deleted—including potentially sensitive corporate information shared by your employees.

EU Data Act: The Beginning of the End for Cloud Monoculture?

What has the EU ever done for us? …well, aside from free movement, no roaming charges, consumer protection, the single market, Erasmus, and more. But also: excessive bureaucracy, slow decisions, overregulation down to the much-mocked bottle cap – a favorite symbol for anyone blaming Europe for every innovation shortfall.

Digital Sovereignty as Self-Understanding

Software Analytics going crAIzy!

I’ve long been an advocate of treating software like data and analyzing it accordingly with tools like Python, pandas, Jupyter Notebook, Neo4j, and jQAssistant. In the era of AI and code transformation tools, seeing software as data gets more and more important when you want to improve your software system at a large scale. This blog post is a short interim report from me about my efforts taking software analysis to the next level.

Digitale Souveränität – Ein Definitionsversuch

Der Begriff Digitale Souveränität trägt die Wolkenwende. Beim Versuch einer Definition ist es unvermeidlich, verschiedene Perspektiven einzunehmen. Weniger, was das Digitale angeht – hier stehen ganz klar Informationstechnologie und Software im Fokus. Souveränität allerdings ist als Begriff eine andere Größenordnung.

Digitale Souveränität: Warum die Architektur zählt und wie Sie Ihr Unternehmen resilient machen

The Sovereignty Trap: Between Tiananmen and Trump

We talk a big game about values and privacy, yet depend on AI that either denies historical atrocities or could cut us off tomorrow. Is this what Europe gets for dropping the ball on high tech infrastructure?

Mobile Portale mit HATEOAS und Self-Contained Systems

Bei INNOQ setzen wir seit Jahren erfolgreich auf Self-Contained Systems und vertikalisierte Ansätze. Teams können unabhängig entwickeln, Services lassen sich separat deployen und skalieren - eigentlich ein perfektes Setup. Doch ein Problem blieb hartnäckig bestehen: Wie baut man Portale, die Daten aus verschiedenen SCS elegant zusammenführen?

Updating OWASP’s Microservice Security Cheat Sheet: Practical Considerations & Recommendations

From Data Graveyards to Knowledge Landscapes

Europe is sitting on a wealth of public data—but much of its potential remains untapped. The challenges are well known: fragmented portals, incompatible interfaces, and growing reliance on non-European platforms that slow innovation. While new industrial data spaces are emerging—enabling secure and sovereign exchange of sensitive information—public and industrial data ecosystems remain largely siloed. This article explores how Artificial Intelligence (AI) and the Model Context Protocol (MCP) can help bridge that gap and accelerate Europe’s shift from Open Data to Open Knowledge—supporting digital sovereignty and delivering greater value to society.