Tech Enthusiast. Nature Lover. Computer Geek. rsyslog lead developer.
Or maybe not.
If you are fighting low-quality AI code, or you think the whole thing is just marketing noise, here is a radical idea: fix the environment instead of blaming the tool. Doing AI right is not rocket science. It is mostly common sense. And, as so often, discipline.
I keep repeating this because it matters. There are three simple pillars that make AI code generation actually work. I can prove it, I do it every day.
Continue reading “AI slop. AI is hype. AI will replace us all.”We are in “pushing new features out” mode since mid-2025. Observability Stack, Open Telemetry support, enhanced ETL tooling, centralized ratelimiters, CI improvements, AI components, much better doc, and, and and – a wealth of new features. Together with community contributors, that’s close to 900 commits. Big and small, some very big!
It’s strange – we have great new tools, but many folks are using them in such a sloppy way, that the tools get discredited. And this also tends to boil down that serious users get into trouble. You probably guess what I am talking about: AI tooling.
I am for sure nobody who jumps on the latest hype. So I resisted AI quite long for complex things. Until it was ready, which for me was around summer 2025. That was for coding. For some doc writing it was ready earlier (and I used it to cover my weak spots). Now, AI has evolved to also help with video and audio.
Continue reading “AI Slop – or Human Laziness?”Remember – I am for quite a while in this business. Have you ever wondered why I took up that work on logging. Which, btw, was perceived as “pretty boring” on those days without real cyber attacks. I took the time to record one of my usual and “highest-quality” videos to tell you the story. I hope you enjoy.
Continue reading “How a Missing Windows Feature in 1995 Led to WinSyslog and rsyslog | 30 Year Throwback”You know, I like efficient processes. After all, that was one reason that I wrote rsyslog. Which, btw, nowadays is increasingly useful and cost-saving as an ETL/ingestion issue for its speed. So no surprise, I also like efficient workflows.
We strongly believe in CI. Especially with AI code generation, it is your ultimate safeguard. However, CI is costly, and AI review usually runs max once per CI run.
So I have paired that review with some local test execution and review. Nowadays of course AI assisted. I usually use CLI tools for their efficiency. As part of the post-build process, I make the AI run various checks. The last one is a full review. I often use cubic for that, because it provides very good results to me.
Continue reading “Using Local AI Review to Save CI Time, Money, and Nerves”If you want the CS summary: it is at the end.
I keep seeing the same take pop up: “AI is overhyped. Mostly money burning.” Sure. There is hype. There is also a whole lot of low-effort “vibe coding” that produces low-quality output at impressive speed.
But there is also something else: if you treat AI as a serious engineering tool and you are willing to do the unglamorous work, it can make measurable difference and boost productivity and quality.
So here is a concrete case study: agentic code work in rsyslog.
Continue reading “AI Code Generation in a 200k LOC C Codebase: What Actually Worked in rsyslog”I know many people know I am with Adiscon. They also know we do both open source and closed source software. That combination often raises eyebrows, and I occasionally get the same question: how do we manage this without open-core games, dual-licensing traps, or hidden agendas?
So I decided to write it down, plainly.
Continue reading “How We Run Open Source and Closed Source at Adiscon”I finally visited the Alhambra in Spain this year.
I had been to that part of Spain in my youth, in my twenties, but I did not manage to visit the Alhambra back then. And somehow I also never made it back in between. So it was fantastic for me to finally be there.
The ultimate promise of AI agents in software development is autonomy. We want to be able to hand off a task and have the agent execute it reliably. However, in my recent experiments with AI-driven code generation, I’ve hit a recurring roadblock: The Context Wall.
I needed to download VMware Workstation Pro for a new test environment. That now requires a Broadcom account. Registering that account did something that, in practice, pushes users toward weaker security – and it is also counter-productive for a “free download” funnel.
