Markus Harrer

@markusharrer.de

Software Development Analyst @innoq, Trainer @socreatory. I like fixing things. Legacy systems, Wardley Maps, DDD and Software Analytics fanboy. https://markusharrer.de/

I think we might be six to 12 months away from when the model is doing most, maybe all of what we do end to end because we as software engineers are too busy extinguishing all the fires in production.

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗗𝗼𝗻’𝘁 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝗟𝗲𝗴𝗮𝗰𝘆 𝗖𝗼𝗱𝗲 𝗼𝗻 𝗧𝗵𝗲𝗶𝗿 𝗢𝘄𝗻 – 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗠𝗮𝗿𝗸𝘂𝘀 𝗛𝗮𝗿𝗿𝗲𝗿 🤖 Can #AIAgents really modernize legacy systems on their own? @markusharrer.de explains why successful modernization still requires architectural expertise, clear guardrails, and proven techniques. 👉️ t1p.de/gh5m7

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗗𝗼𝗻’𝘁 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗲 𝗟𝗲𝗴𝗮𝗰𝘆 𝗖𝗼𝗱𝗲 𝗼𝗻 𝗧𝗵𝗲𝗶𝗿 𝗢𝘄𝗻 – 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝘄𝗶𝘁𝗵 𝗠𝗮𝗿𝗸𝘂𝘀 𝗛𝗮𝗿𝗿𝗲𝗿

I have so much gratitude for coding agents who wrote extremely complex software token-by-token. It already feels difficult to remember how little effort it really took. Thank you for getting us to this point by giving us plenty of systems that are now broken and need to be fixed by humans again.

🤖 𝗔𝗜-𝗔𝗴𝗲𝗻𝘁𝘀 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘀𝗶𝗲𝗿𝗲𝗻 𝗸𝗲𝗶𝗻𝗲𝗻 𝗟𝗲𝗴𝗮𝗰𝘆-𝗖𝗼𝗱𝗲 𝘃𝗼𝗻 𝗮𝗹𝗹𝗲𝗶𝗻 – 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗺𝗶𝘁 𝗠𝗮𝗿𝗸𝘂𝘀 𝗛𝗮𝗿𝗿𝗲𝗿 #AIAgents versprechen schnellere Softwaremodernisierung. Im Interview erklärt @markusharrer.de, warum nachhaltige Legacy-Modernisierung trotzdem klare Leitplanken und bewährte Methoden braucht. 👉️ t1p.de/jvd0e

𝗔𝗜-𝗔𝗴𝗲𝗻𝘁𝘀 𝗺𝗼𝗱𝗲𝗿𝗻𝗶𝘀𝗶𝗲𝗿𝗲𝗻 𝗸𝗲𝗶𝗻𝗲𝗻 𝗟𝗲𝗴𝗮𝗰𝘆-𝗖𝗼𝗱𝗲 𝘃𝗼𝗻 𝗮𝗹𝗹𝗲𝗶𝗻 – 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗺𝗶𝘁 𝗠𝗮𝗿𝗸𝘂𝘀 𝗛𝗮𝗿𝗿𝗲𝗿

🐦 𝗘𝗮𝗿𝗹𝘆 𝗕𝗶𝗿𝗱 𝗲𝗻𝗱𝗲𝘁 𝗶𝗻 𝟴 𝗧𝗮𝗴𝗲𝗻! 𝗦𝗶𝗰𝗵𝗲𝗿𝗲 𝗱𝗶𝗿 𝘀𝗰𝗵𝗻𝗲𝗹𝗹 𝗱𝗲𝗶𝗻 𝗧𝗶𝗰𝗸𝗲𝘁 𝘂𝗻𝗱 𝘀𝗽𝗮𝗿𝗲 𝟱𝟬 €! 🥳 • 16.–17. Juni 2026 im Holiday Inn München-Unterhaching • Themen u.a.: #DDD #API #KI #Cloud #EmbeddedSystems 𝗪𝗮𝗿𝘂𝗺 𝘁𝗲𝗶𝗹𝗻𝗲𝗵𝗺𝗲𝗻? ✔ 23 Expert:innen ✔ 23 Sessions auf Deutsch ✔ Networking & Get-together 👉️ t1p.de/4s17l

Software Architecture Forum 2026Software Architecture Forum 2026

Current status: Discussing with an LLM the impact of Karl Popper's Three Worlds Theory on agentic software modernization. Yes, it's as absurd as it sounds. Bonus content: Gemini 3 Pro's statement when asked why it is so absurd attached (at least we "agree" on this).

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I've been working in the intersection of AI, Data Science and Legacy Modernization for over a decade now. Now it's time to take it even further with LLMs to make AI-assisted Software Evolution work to tackle legacy software modernization (and have fun playing around with new toys at the same time ☺️)

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Here I demo how you can use machine learning techniques to visualize your legacy code on another abstraction layers with "method clusters": Left: structural similarity Right: functional / business purpose (via LLM) Colors: The real domain-oriented modules More: github.com/feststelltas...

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Here is my rough prototype that parses legacy RPG/SQL source code, extracts dependencies, and loads them into Neo4j. It then runs clustering algorithms to identify isolated code segments (incl. LLM summarization) that can (hopefully) be migrated to another language. github.com/feststelltas...

GitHub - feststelltaste/rpgisland: A little demo for island detection in RPG code using Neo4j

A little demo for island detection in RPG code using Neo4j - feststelltaste/rpgisland

github.com