Nicolai Ort
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title, weight, tags
| title | weight | tags | |
|---|---|---|---|
| Tech is broken and AI won't fix it | 5 |
|
{{% button href="https://www.youtube.com/watch?v=CAPtQnH4rPY" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}}
Recruitment & Staffing
The background for this talk is a very bad experience in this sector
- "We want someone opinionated" -> No you don't
We don't know how to recruit engineers
- How many rounds of interviews?
- Technical tests?
- Not allways show your real worlds skills
- Many different kinds that usually don't fit (telling a junior)
- Other fields don't do this
- Is there an accurate feedback loop?
- The anwer to the qustion "how was the interview process" usually depends if there is an result and the kind of result
- Many just try to follow fang
- Plot twist you are not fang, you are a small company
- Mostly tests resilience and not really technical skills
We're not very good at training for the future
- Many companies "only recruit senior engineers"
- Junior engineers are sometimes viewed as a cost center
- But they are important:
- Force seniors to explain stuff better
- Force collobaration
- Are a bit like the usual clueless customer
Teamwork
- Depending on the team size and skillset the requirements for leadership change (Lead Engineer vs Engineering Manager)
- Don't hang up on stuff like "this is our team's senior/junior engineer" - everyone servers a role that changes depending on context (everyone is )
Agile is broken
- The core of agile is about
- Individuals&Interaction > Process&Tools
- Working Software > Documentation
- Customer collaboration > Contract negotiation
- Responing to Change > Following a plan
- Agile never planned for all of the meetings
- If you have to have standups: Keep them short with rules
Bias
- Everyone has biases and uncontious biases
- Example: The doctor test "I went to the doctor" -> Most people assume a man
- AI results in the same stereotype "Draw a doctor" -> While man with glasses
- Reality usually contradicts these biases
Coding
- In the old days we copied from stackoverflow, now we let ai do the copying
- If GenAI uses LLM it bases everything on past code, will we reach a point where noting is new?
What can we do
- Be an empathetic human (by gut feel or just by asking others)
- Develop engineers
- Never say something is shit
- Treat AI as an unreliable colleague (never assume it's allways right or wrong)