Raw LLM Responses
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in
I'm surprised Laura the AI director is called it chatGPT when it's actually open…
7466823924958…
in
Amanda Kasmira Brown, I am glad this encyclical endorses all those who have work…
7466138765304…
in
As a career coach with the unemployed, clients most miss adding value, work rela…
7468738211868…
in
Here is Anthropic’s response... Claims to be skeptical of: “8x more code per qua…
7468814125037…
in
Very clear and practical framing. What I like about this analogy is that it sepa…
7464795251770…
in
100% - It’s all about the value system that the AIs are introduced into. The who…
7465840804289…
in
Tao is right that AI lowers the cognitive friction of exploring crazier paths. T…
7466223599805…
in
The plug it in bit...I work with lots of clients who understandly aren’t comfort…
7466841862264…
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."
}
```