My First Days at Athereon: Decoding the “AI First” Thing
Okay, so I’m still getting my bearings here in Berlin. It’s amazing, honestly, but also… overwhelming. I landed the job at Athereon – a Java development place – and it’s already been a whirlwind. My interview with Max was actually really helpful, and he explained a lot of things about their approach, something they call “AI First.” Honestly, when I first heard it, I was a bit lost. Let’s break it down.
What Exactly Does “AI First” Even Mean?
Max explained that “AI First” basically means they’re trying to use tools like GitHub Copilot and Cursor as early and as much as possible in their development process. The goal isn’t to replace developers – that’s the key thing I think – but to make us faster and better at writing code. It sounds a bit… futuristic, right?
He gave me a chance to contribute to how they use these tools, which was really cool. I’ve tinkered with Copilot a little before, mostly for simple things like generating comments. But I was curious to see how it would work in a real team environment.
Coffee and Code: Initial Discussions
My first morning was all about getting to know the team. We had this stand-up meeting – Stand-up Meetings – which is basically a quick check-in where everyone briefly shares what they worked on yesterday, what they’re planning to do today, and if they’re blocked on anything. It’s really common in Germany, actually, to have a lot of quick, focused conversations.
“Guten Morgen, alle!” Max greeted the team, and someone shouted, “Guten Morgen, Max! Wie geht’s?” (Good morning, everyone! How are you? – literally, “How’s it going?”). It was a friendly start.
Then Max started talking about the “AI First” thing again, and he asked if I had any specific areas where I thought these tools could be really useful. I said, “Ich denke, für die Boilerplate-Code könnte es sehr hilfreich sein, richtig?” (I think it could be really helpful for boilerplate code, right?). He nodded enthusiastically. Apparently, a lot of the work involves generating standard code snippets – you know, things that are always the same, like setting up a new database connection or creating a basic class structure. It’s like having a super-efficient assistant for those tasks.
Recognizing the Importance of Critical Thinking
He then stressed the importance of not just blindly accepting everything the AI suggests. He used an example, saying, “Es ist wichtig, dass wir die Vorschläge der KI kritisch hinterfragen.” (It’s important that we critically evaluate the suggestions from the AI). “Don’t just copy and paste!” He emphasized. It’s not about letting the AI do all the work; it’s about using it to help us do our work. We need to make sure the code is correct and safe.
I quickly realized that this wasn’t just about efficiency; it was about being responsible. It reminded me of when I was learning German – I had to constantly check my grammar and pronunciation! Same principle here.
Teamwork and Feedback – Das ist wichtig! (That’s important!)
After the initial explanation, Max talked about how the team works together. He said, “Wir müssen uns gut mit den Kollegen abzustimmen.” (We need to coordinate well with our colleagues). It’s all about open communication and giving each other feedback. They have regular stand-ups and also informal meetings – sometimes over a Kaffee (coffee) – to brainstorm and solve problems.
“Wie können wir das verbessern?” someone asked (How can we improve this?). There was a lot of back-and-forth, lots of discussion, and a lot of – thankfully – helpful input.
My First Attempt – A Slight Hiccup
I tried using Copilot to generate a unit test for a simple function. It produced something, but it wasn’t quite right. I had to spend more time tweaking it than I anticipated. Max pointed out, “Das ist normal. Die KI ist noch nicht perfekt!” (That’s normal. The AI isn’t perfect yet!). It was a good reminder that it’s a tool, not a magic bullet.
Moving Forward – A Collaborative Approach
The thing that really struck me was how open and collaborative the team is. It’s not about following instructions; it’s about sharing ideas and working together. They really emphasized that everyone’s opinion matters, even if it comes from the AI. They want to build the best solutions together.
I’m still learning so much, but I feel like I’m starting to understand the Athereon culture. It’s definitely a different approach than what I’m used to, and I’m excited to see how it all unfolds. I think I’m going to enjoy this! Now, time for another Kaffee – I have a feeling I’ll need it!
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