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# AI Agents don't think like humans do

**[NeetCode](https://daily.dev/sources/neetcode)** · 1 min read · 1 upvotes · 0 comments

## Summary

A developer recounts debugging a production issue where a GCP load balancer failed to autoscale because a specific zone ran out of VM capacity. Using an AI coding agent to help investigate, they found it took longer to reach the obvious fix (spreading VMs across multiple zones) because the LLM kept suggesting overly complex solutions instead of the simple one. The takeaway is that AI agents operate as text-prediction engines rather than genuine reasoners, so human understanding of fundamentals still matters when debugging infrastructure issues.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=qbWGG5LuFv4>

## Questions this post answers

### Why would a GCP load balancer fail to autoscale even though autoscaling is configured?

Autoscaling can fail to add instances if the target zone or region runs out of available machine capacity, even though the load balancer and autoscaler configuration are correct. A practical fix is to avoid locking the managed instance group to a single zone and instead spread it across multiple zones (A, B, C, D) within the region so capacity exhaustion in one zone does not block scaling.

_Debugging cloud autoscaling failures gets easier with practical GCP capacity fixes surfaced on daily.dev._

### Are AI coding agents reliable for debugging infrastructure problems like cloud autoscaling failures?

Not fully; AI agents can speed up investigation but often fail to suggest the simplest fix, instead proposing more complicated solutions, because they function as text-prediction engines rather than reasoning systems. In one case, an agent helped narrow down a GCP zone capacity issue faster than manual debugging, but a human still had to identify the straightforward multi-zone fix.

_Developers weighing how much to trust AI agents in debugging follow these real-world takes on daily.dev._

---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#gcp](https://daily.dev/tags/gcp)

[View this post on daily.dev](https://daily.dev/posts/ai-agents-don-t-think-like-humans-do-1rhgjqnaj)

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