DishEval Benchmark The only eval that actually matters.

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.

Is RAG Still Needed? Choosing the Best Approach for LLMs YouTube video by IBM Technology

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

🤬

A Day in the Life of an Ensh*ttificator YouTube video by Forbrukerrådet - Norwegian Consumer Council

"Make people dependent enough and then? Make it shitty!"

A Day in the Life of an Ensh*ttificator

youtu.be/T4Upf_B9RLQ

Building An Elite AI Engineering Culture In 2026 | Chris Roth AI accelerates high-performing orgs and unravels struggling ones.

« 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...

Disagree. ML is a subdiscipline of AI.

What are your tools and approaches you're working on?

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 ☺️)

Yes, models evolved great in recent times and the data from the study is unfortunately very dated (Q1 2025 when I'm not mistaken). That means pre Claude Code / Agentic AI era. I hope someone will provide some fresh data in the near future.

Now updated with new colors and without misleading numbers.

I don't build AI into legacy systems. I use AI engineering for building analysis and modernization tools on greenfield using Python/pandas/Neo4j/OpenRewrite for analyzing legacy systems.

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.

The picture looks different for 754 Java files, 8711 methods, and 82830 SLOCs. But there are still method clusters (that don't fit the package structure at first glance).

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...

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

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"

GitHub - sverweij/dependency-cruiser: Validate and visualize dependencies. Your rules. JavaScript, TypeScript, CoffeeScript. ES6, CommonJS, AMD. Validate and visualize dependencies. Your rules. JavaScript, TypeScript, CoffeeScript. ES6, CommonJS, AMD. - sverweij/dependency-cruiser

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 🧡

Transform Legacy Systems into Strategic Assets: Code Modernization with AI YouTube video by Anthropic

That was exactly the feeling I had after hearing this from a Claude Code developer 😅
www.youtube.com/watch?v=8qtS...

Don't worry. Claude Code uses "agentic search" (which is using, well, glob and grep under the hood).

Why We've Tried to Replace #Developers Every Decade Since 1969

https://www.caimito.net/

Stop Hoping Your Architecture Holds: Enforcing Quarkus Design Rules with JQAssistant

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.

6 Safe Refactorings for Untested Legacy Code — Nicolas Carlo YouTube video by ConFoo Developer Conference

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...