Raw LLM Responses
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in
srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
7465225976520…
in
Interesting AI can make us job less so alternative can we go back to primitive f…
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in
This resonates deeply. AI’s greatest value may not be replacing researchers, cli…
7466315995339…
in
Anthropic engineers shipping 8x more code proves that software development is sh…
7468667584205…
in
Clara Hawking- " But more importantly, it frames schools not merely as places of…
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in
Rebecca Human AI Trust Leader Yes and no 🙂 I think that, as you stated, AI can "…
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in
What stands out is how quickly the stack is converging around three core capabil…
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The real risk isn't AI taking our jobs, it's humans outsourcing their judgment s…
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Comment
This is the correction phase of the AI hype cycle that many experienced engineers expected. AI absolutely boosts productivity, but “replace engineers” was always a flawed framing. Engineering is not just code generation — it’s architecture, trade-offs, debugging ambiguous failures, domain understanding, operational ownership, and long-term maintainability. What many companies underestimated:• Token economics at enterprise scale• Context-window inefficiencies on large codebases• Human review overhead• Hallucination-driven rework• The cost of bad architectural decisions generated confidently at high speed The real winning model is likely to be:Small, highly skilled engineering teams + AI augmentation — not AI replacing teams entirely. The companies getting the best ROI from AI today are usually the ones using it as a force multiplier for senior engineers, not as a wholesale substitute for engineering judgment.
LinkedIn
Workplace & Jobs
Principal Software Engineer | Distributed Syste…
2026-05-26T15:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | human_autonomy |
| Secondary value | none |
| Alignment target | workers |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of human engineering judgment and the limitations of AI in replacing engineers, highlighting the need for human autonomy in decision-making. |
| Target justification | The speaker is primarily concerned with the impact of AI on engineering teams and the importance of using AI as a force multiplier for senior engineers, indicating a focus on workers. |
| Coded at | 2026-06-11T08:17:50Z |
Raw LLM Response
```
{
"value_primary": "human_autonomy",
"value_secondary": "none",
"target": "workers",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of human engineering judgment and the limitations of AI in replacing engineers, highlighting the need for human autonomy in decision-making.",
"target_justification": "The speaker is primarily concerned with the impact of AI on engineering teams and the importance of using AI as a force multiplier for senior engineers, indicating a focus on workers."
}
```