Articles
Agent harness: Why 90% AI agents fail and how you can do better
Executive Summary 90% of developers change the AI model when their agent makes mistakes. This is the wrong strategy. The AI agent is not the model. The agent is the harness - the software infrastructure that makes the model productive. This harness consists of...
Master prompt for AI coding: the ultimate system prompt
The quality of your AI-supported software development stands and falls with a single factor: the system prompt. While development teams in companies work with AI IDEs such as Cursor, Windsurf or Cline on a daily basis, many overlook a fundamental fact: these...
Claude Skills vs. MCP: The ultimate guide to efficient AI workflows
Forget everything you thought about AI automation. Anthropic has released Claude Skills, a feature that changes the way we design AI agents. And no, it's not marketing hype - it's a real paradigm shift in the way we...
Google Antigravity: When AI no longer assists, but orchestrates
Software development has changed fundamentally in recent years. But what Google presented on November 18, 2025 with Antigravity marks a qualitatively new step: developers become architects, while autonomous AI agents take over the operational...
CARS Certification: Certified Agile Requirements Specialist
In many agile projects, there is a strong focus on frameworks such as Scrum or SAFe - but the content, which is what it's all about, often falls by the wayside. Scrum in particular has a clear division of responsibilities: the Scrum Master takes care of the process, the...
What is requirements engineering? Basics, benefits and the future with AI
Requirements engineering is probably one of the most important - and at the same time most underestimated - success factors in IT projects. When projects get out of hand, the reason is rarely the technology. In most cases, something much simpler is missing: a...
Career turbo IREB CPRE: How the requirements engineering certificate increases your job opportunities
If you work in projects, you know: Requirements are the key to any successful product. Nevertheless, practice shows that many projects fail precisely here - because requirements are unclear, contradictory or not documented at all...
AI for development teams: deciding between Langdock and Bedrock
252,500 lines of code. 2.5 million tokens. 7.80 euros per complete analysis. These figures will determine whether your development team is still competitive in 2025 or whether it will sink into the digital dust. While your competitors are already developing with the help of AI, you are still struggling with...
GPT-5: New functions and for all users
On August 7, 2025, OpenAI made GPT-5 available to the general public. The new version offers significant advances in the areas of programming, mathematics and complex logical reasoning. For the first time, the system itself decides whether a query...
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