@AlemTuzlak Food used to be fantastic, haven't flown it for a while. Also russias Aeroflot used really good with service and food.
All other european airlines have completely turned to shit. Noticably saving on every corner :(
๐ Introducing @openclaw inside any app
Your personal agent automating work or controlling software with generative UI, human-in-the-loop and self-modification.
Includes frameworks and surfaces like:
- Slack/Teams
- React/React Native
- Angular
- Vue
Powered by the AG-UI protocol.
GitHub: https://t.co/I2qxuoJJmA
@openclaw@steipete@vincent_koc@obviyus
๐ Introducing Open Tag
A better, open-source Claude Tag.
Works with any model, any agent harness, and fully custom agents.
Bring any Agent to Slack, MS Teams with Generative UI, Streaming, and much more!
Clone the repo and get it running in minutes
https://t.co/USvVWYpgUQ
Powered by the Channels SDK & AG-UI
@AlemTuzlak True, but I have to admit there are often enough coming good arguments out of that, and I'm just angry that my friends skipped acquiring the experience over years lmao.
@michaelg_me@adamlyttleapps Security aspects are a non-issue for most people (until they become an issue). But, for plenty of people those things don't ever become real issues, too.
You might believe you should spend less time thinking about code because of AI.
I strongly disagree! Weโre watching this play out live where tons of AI generated code becomes a liability.
At the end of the day, an engineer needs to be responsible / on call for code that gets shipped to production. If you donโt understand the system youโre trying to debug, youโre probably going to have a bad time.
Yes, AI can help with all of this, if you set up the proper systems. You can have agents triage prod logs, look at errors, etc. You can speed up parts of the investigation, but an engineer needs to make the call. There might be serious customer or financial implications from that change.
I expect the trend continue for trimming dependencies, vendoring code so you can modify it directly, preferring simpler systems with fewer abstractions, and spending waaaay more time thinking about system design and code maintenance.
Iโve said this before, but itโs a great time to get familiar with CS fundamentals and some of the history behind what great software looks like. Many parts will be different in the coming years as AI progresses, but also a lot more than people realize will stay the same.