If you make an effort to use the new tools effectively, the gains are wild. Don't fall into a grumpy luddite trap, the train is leaving the station and you'll struggle to catch up if you don't learn and grow.
Not using AI for software development in 2027 will be like only knowing how to program via punchcard in 2010.
It's new. It's different. It's hard. It's your job. Learn how to use it effectively, embrace the new abundance mindset.
Children will jump on any train, that's why I'm in computers, and why there's an AI cheating crisis right now so severe that nobody is learning anything in schools.
> If you make an effort to use the new tools effectively, the gains are wild. Don't fall into a grumpy luddite trap, the train is leaving the station and you'll struggle to catch up if you don't learn and grow.
Correct, in fact you can tell most AI detractors aren't thinking about this from a _computer science_ point of view. You'll have many people claiming "why prompt an LLM when you can write it and commit it yourself in 45 minutes?" True, you could. But that's a purely _serial_ workload. LLMs are effectively data-independent and they can.. work in _parallel_. Meaning instead of working on a single task, you can juggle multiple simultaneously. So even if you're as fast or faster on a one-on-one basis, you _cannot physically_ be faster than 10 separate sessions running in parallel, working on wholly separate tasks. And that's actually where most 10x gains come from. See Amdahl's/Gustafson's laws.
His comment sucks but it is indeed a skill issue. Not the skill of "agentic coding" or whatever but the skill of having and communicating good ideas. A lot of engineers/people are bad at that, and are struggling to produce anything of value with AI coding.
