Get my new course "AI Engineering Fundamentals" now with the biggest discount possible: 👉 lukaslechner.com/ai-engineer…

If you’re intrigued by Omarchy (especially the idea of going more keyboard-only) but aren’t ready to switch operating systems, installing @raycast is a great in-between step. Lately, I use it to: - manage my windows and workspaces - quickly access my password (Bitwarden extension) - control music (Spotify extension) - quickly create a PR (Github extension)

Do you know the struggle of switching between windows of the same application on a Mac? Struggle no more! @raycast has this awesome "search windows" feature. So your other window is now just one hotkey away!

Props to @langfuse for their excellent docs and learning materials! 👏 If you’re trying to wrap your head around concepts like LLM observability, monitoring, and evaluations, these resources are well worth checking out: 🎓 Academy: langfuse.com/academy 🛠️ Workshop: langfuse.com/workshop 📚 Guides: langfuse.com/guides

We have basically agreed on "With AI, you have to become a generalist..." And while I think that is true, I think people who are highly specialized in a certain topic are really valuable, too. As an example: Someone with deep knowledge about Coroutines/Flow will write better concurrent code than AI (for very complex use-cases) So when you learn something, you should either learn only the fundamentals or, if you wanna go deeper, go really, really deep. What do you think?

After 8 Years, I left Android Development! 😱 Here is why: 👉piped.video/watch?v=IqMOIAc3…

I think every Software Developer will at some point need to integrate an LLM into one of their applications. This will become a must-have skill similar to performing API calls or working with a database. What do you think?

Do you want to become an AI Engineer, which is the #1 fastest-growing job role right now? Then a good start would be to grab my new course "AI Engineering Fundamentals - Build Real LLM Apps in Python" 👉 udemy.com/course/ai-engineer…

So I "quit" my job (actually, my freelancing project was winding down) at the end of 2025, and now I try to make a living by creating tech courses (AI Engineering). Lots of people say that "Courses are dead", but I have a different opinion. I wonder if I should share more of that journey here on X? Anybody interested?

From Android to AI Engineering 👨‍💻 Many Android Devs know me as the "Coroutines & Flow Guy", since I have the most popular udemy course on that topic. What few people know is that I haven't worked as an Android Dev for more than 3 years now. Why? Because in early 2023, I decided to transition to Backend Development simply because there is much greater demand and higher earning potential. I quickly secured a long-running freelance contract as a Backend Developer for a big e-commerce business here in Austria. I was really happy in that project, and I envisioned working there for many years. However, things can change quickly, and within a day, the company announced that it would completely shut down the service my team was working on by the end of 2025. One part of me was really sad because I really liked the project. But another part of me was excited because I had always wanted to find out if I could live off online courses, and now I "got" my chance. My initial plan was to create courses around how to become a Backend Developer. However, I didn't feel I could sell enough courses, since there are already so many courses out there and many Devs already have the knowledge my courses would teach. I needed a new field, which is rather new, highly in demand, and for which not many people yet have the skills. So I did another round of research and came across "AI Engineering", which is all about building applications on top of LLMs. Initially, I dismissed it because I thought this was just about how to use the OpenAI API. But boy was I wrong... ... because while it's easy to build demos and prototypes that integrate LLMs, bringing them to production is what AI Engineering is all about. There is a fundamental difference to classical software: LLMs are non-deterministic. The same input can produce different outputs every time. This creates entirely new challenges: how do you even know if your system is still working correctly after you change a prompt or switch to a newer model? The answer is evaluations, or "evals" for short. Evals are the unit tests of AI Engineers, and building good evals is one of the most important skills in this new field. Furthermore, you need to master completely new concepts, such as RAG (Retrieval-Augmented Generation), and new frameworks, such as LangChain and LangGraph. Everybody is talking about how AI will replace lots of white-collar jobs. But who is going to build all the automations? Right, the AI Engineer. So AI Engineering is probably one of the most future-proof fields in Software Development. So I decided to go all in on AI Engineering and started working on my first course. Today, after 6 months of hard work, I can proudly announce that "AI Engineering Fundamentals" is out now on udemy! 👉 udemy.com/course/ai-engineer… For a very short timespan, you can get the course for only $9.99!

Not bad, GPT 5.4 😂

This setting is crucial for agentic coding in IntelliJ / Android Studio. Otherwise, your agents could read outdated files that are only in memory and not yet written to disc!

I am going to be at KotlinConf 2026! Join me! kotlinconf.com/ Who is also attending?

My team is looking for an Android Developer to help us with our awesome grocery delivery app! rewe-group.jobs/en/jobs/REF2… #androiddev #Kotlin #JetpackCompose

We want the UI of our Android and iOS apps to be more dynamic & controllable by our backend, but we struggle to find the proper degree of flexibility. Anybody with experience, tips or links to good resources here? Every kind of help is appreciated :) #AndroidDev #iosdev

My Backend for Frontend needs to know which features a mobile client supports. I am thinking about using http headers in request that indicate which features are supported. Is this a good idea or are there other best practices? #AndroidDev

Not so sure about that 😆 But thanks for the feedback 🙂

Always great to see that people find my course useful 🙂