🤖 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

🐦 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

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).

The one and only AI benchmark I really care about: Did AI do my dishes? feststelltaste.github.io/DishEval/

I still don't get for what I should use OpenClaw.

If I were working on a book about agentic software modernization, this kind of content would certainly be a part of it: youtu.be/UabBYexBD4k

After using the software modernization strategy overviews in workshops and training sessions, I've significantly updated the companion website: Check it out: feststelltaste.github.io/littlestmode... All materials are available under Creative Commons BY-SA 4.0. #SoftwareModernization #LegacySystem

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"Make people dependent enough and then? Make it shitty!" A Day in the Life of an Ensh*ttificator youtu.be/T4Upf_B9RLQ

« Three architectural principles are gaining consensus: "token efficiency" as a design constraint (code structure), explicit over implicit everywhere (types, error handling), and co-location of related code. [they] aren't new, but AI has given them renewed urgency. » www.cjroth.com/blog/2026-02...

I spent the last days writing a lengthy blog post about my AI journey on a brownfield modernization project, focusing on the last six months of it where I heavily used Claude Code, and how my workflow changed completely. Enjoy! www.yduman.dev/posts/six-mo...

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 ☺️)

Now updated with new colors and without misleading numbers.

Why does working with AI agents in legacy systems feel so much harder than in all those vibe coding demos on YouTube? 🤔 Part of the answer: 😊 Popular language + Greenfield ☘️ = "AI heaven" 😯 Niche language + Brownfield 🟫 = "AI hell" More about this topic: markusharrer.de/blog/2026/02...

AI assistants that write emails, shop online, or book travel may feel convenient — but they’re often insecure by design. In her blog post, Joy Heron offers an important reality check on the current hype. 📖 Read now: www.innoq.com/en/blog/2026...

Wake me up once your AI agents are actually fixing legacy systems, not just analyzing them.

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...

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...

Probably the two most common Bing searches in Microsoft Edge are: 1. "Firefox" 2. "How to change the default browser in Outlook"

Dependency cruiser is nice. An elegant way to express and enforce architectural constraints. github.com/sverweij/dep...

It's not just "Human 🧒 vs. AI 🤖" these days when you're thinking about transforming legacy code on a larger scale. That is why I visualized a part of the refactoring tools landscape using my favorite thinking tool: PowerPoint 🧡

Why We've Tried to Replace #Developers Every Decade Since 1969 https://www.caimito.net/...

How to turn architecture guidelines into executable rules using Quarkus, JQAssistant, and graph-based analysis www.the-main-thread.com/p/quarkus-jq...

Only if you maintain it! Otherwise, it’s just a data transform. Data, of course, is the real liability.

Hey, my talk "6 Safe Refactorings for Untested Legacy Code" that I gave at @confooca.bsky.social 2025 is available online! How cool is that? 😄 So here it is: I'm presenting you with 6 moves you can use in VS Code to refactor untested code ✊ www.youtube.com/watch?v=5YEm...

We have started preparing our 2026 edition 🤫 In the meantime, you can find all the talks from previous editions on our YouTube channel: www.youtube.com/@mendercon/v... Stay tuned to learn more about what's coming 😉 #MenderCon #LegacyCode

And it's up! All together now... 🎶 Somebody told me the user provider should use an adaptor to proxy the query factory builder... 🎶 www.youtube.com/watch?v=p03o...

Certainly I am not the only one to notice, but "ai" is right there in "naive."

"Starting now, you’ll be able to make a career out of un-LLM-ifying applications." Psst 🤫, don't tell everyone! www.oreilly.com/radar/job-fo...

jMolecules 2.0 – Stereotypical https://odrotbohm.de/202...

The modernization progress illusion is an almost universal pattern I've observed over the past decade. You can make quick progress early by building new things outside the legacy or extracting pieces on the edges that have few dependencies. Quick wins, low risk. 1/4

Am Mittwoch spricht @markusharrer.de ab 12.15 Uhr beim INNOQ Technology Lunch über sieben Heuristiken für gute System-Schnitte und deren Einfluss auf Architekturentscheidungen. Jetzt noch anmelden 👇

I went through some of the links I internally shared over the past few months about AI-assisted legacy modernization and decided to compile a list dedicated to this fascinating field. github.com/feststelltas...

Just published under Creative Commons BY-SA: the complete slide deck from my 2022 Software Analytics workshop. A deep dive into how data can help us understand and improve software systems. I believe this is becoming even more relevant in the age of AI. speakerdeck.com/feststelltas...

Tomorrow, Oct 28, there will be an AmA session with yours truly about legacy modernization with AI. It will be in German, and you can be part of it! More infos: fragezeit.innoq.com

Bullshitbait - Promote miracle solutions to provoke lengthy refutations and cleanup by others.

Could it be that some consulting firms deliberately flood the C-level with so much bullshit that other consultancies are forced to waste their time cleaning up the mess, leaving them unable to address the issues that actually matter?

#WardleyMaps mit Markus Harrer @markusharrer.de HEUTE 13:00 CEST #SoftwareArchitektur im #Stream Mehr Informationen und Möglichkeit für Fragen: software-architektur...#WardleyMaps

#WardleyMaps mit Markus Harrer @markusharrer.de Freitag 2025-10-17 13:00 CEST #SoftwareArchitektur im #Stream Mehr Informationen und Möglichkeit für Fragen: software-architektur...#WardleyMaps

New blog post: 🔎 Software Analytics goes crAIzy 🤖 How software analytics (in the era of AI and LLMs) is no longer just about spotting problems but about implemented solutions in code. www.innoq.com/en/blog/2025... #AI #SoftwareAnalytics #LegacySystems

With all the GenAI buzz we tend to forget the value of 100% correct deterministic tools. Thank you Rust clippy!

Quality isn’t one-size-fits-all! @markusharrer.de ’s talk on evolutionary software quality shows how to achieve the right quality at every stage with ISO 25010 & Wardley mapping. Watch now & subscribe! youtu.be/babuZSG8zMI #amaberlin

When you find hundreds of issues in many different variations using static code analysis which you would normally have to fix by hand but thanks to Python & Pandas (and JPype, javaparser & ASM; don’t ask 😂) you still have all the data available and can now generate OpenRewrite recipes from it: 🤯

TIL you can use Git as Code Clone Detector: If you rename some classes, add them and Git mixes those renames up, you automatically have identified some code clones 🤣😂😅🙂😭

We’re not sure who needs to hear this, but ‘blueberry’ has two b’s.