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I'm almost 4 years into my career as a software engineer. Before widespread LLM adoption I had to do a lot of research when writing code.

When replacing SWEs in the future gets discussed, a lot of people say things like "Oh someone has to review the code" and "they'll always need to be a human in the mix". But when are these humans supposed to acquire this knowledge?

Claude Code can help me create things a lot faster. I can vibe code stuff that would take me a lot of time to learn and build. But I understand none of it. When people talk about productivity, it seems like most gloss over the fact that those who already know how to do things & have experience are going to be the most productive. Yet I often hear no discussion as to how people should be bridging the knowledge gap.

I am sure others make a deliberate effort to learn while they leverage these tools, but human beings are lazy. With the constant pressure to increase velocity & productivity at all costs, people aren't going to prioritize learning things. At work I already see SWEs & people in technical roles taking the path of resistance:

- Asking copilot in agent mode to run a command instead of literally typing it themselves

- Suggesting a mermaid diagram for a large legacy system written in COBOL is accurate because "that's what the LLM said"

- Making the statement that "we really won't need to understand data structures & algorithms in the future, those problems are already solved"

Doesn't it seem like the era of AI is devaluing knowledge or talent and dressing it up as though it's making people more productive in ways they otherwise wouldn't be?

Comments URL: https://news.ycombinator.com/item?id=46926098

Points: 1

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Article URL: https://jcob-sikorski.github.io/me/writing/from-zero-to-hello-world-spring-boot

Comments URL: https://news.ycombinator.com/item?id=46926097

Points: 1

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Article URL: https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower

Comments URL: https://news.ycombinator.com/item?id=46926094

Points: 7

# Comments: 1

Article URL: https://itcanthink.substack.com/p/how-to-fake-a-robotics-result

Comments URL: https://news.ycombinator.com/item?id=46926092

Points: 1

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Article URL: https://www.aljazeera.com/opinions/2026/2/5/its-time-for-the-world-to-boycott-the-us

Comments URL: https://news.ycombinator.com/item?id=46926085

Points: 3

# Comments: 0

I wanted semantic search for TLDR pages, but also wanted it to work offline with no backend. This project runs entirely in the browser using client-side vector search:

Demo: https://jslambda.github.io/tldr-vsearch/

More information: https://jslambda.github.io/articles/semantic-tldr.html

Comments URL: https://news.ycombinator.com/item?id=46926084

Points: 1

# Comments: 1

Article URL: https://yukicapital.com/blog/the-ai-ceo-experiment/

Comments URL: https://news.ycombinator.com/item?id=46926070

Points: 2

# Comments: 0

Article URL: https://code.claude.com/docs/en/fast-mode

Comments URL: https://news.ycombinator.com/item?id=46926043

Points: 3

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Article URL: https://www.dosdays.co.uk/topics/game_cracks.php

Comments URL: https://news.ycombinator.com/item?id=46926030

Points: 3

# Comments: 0

Samsung's hardware and AT&T's software combine for a kid-focused phone.&

Article URL: https://www.historytoday.com/archive/history-matters/contagious-taste-cancer

Comments URL: https://news.ycombinator.com/item?id=46925672

Points: 1

# Comments: 0

Article URL: https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-since-great-recession/

Comments URL: https://news.ycombinator.com/item?id=46925669

Points: 1

# Comments: 0

Article URL: https://koreajoongangdaily.joins.com/news/2026-02-07/business/finance/Crypto-exchange-Bithumb-mistakenly-hands-out-195M-in-Bitcoin-to-users-in-Random-Box-giveaway/2518495

Comments URL: https://news.ycombinator.com/item?id=46925668

Points: 1

# Comments: 0

Article URL: https://haskellforall.com/2026/02/beyond-agentic-coding

Comments URL: https://news.ycombinator.com/item?id=46925661

Points: 1

# Comments: 0

Article URL: https://www.loom.com/embed/e26a750c0c754312b032e2290630853d

Comments URL: https://news.ycombinator.com/item?id=46925642

Points: 1

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Article URL: https://www.openbsd.org/policy.html

Comments URL: https://news.ycombinator.com/item?id=46925631

Points: 1

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Article URL: https://www.youtube.com/watch?v=4uzGDAoNOZc

Comments URL: https://news.ycombinator.com/item?id=46925592

Points: 1

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Article URL: https://ieeexplore.ieee.org/document/11316905

Comments URL: https://news.ycombinator.com/item?id=46925582

Points: 1

# Comments: 0