GPT-6.1 Sol turned a specific UI bug into a frustrating babysitting session
A developer encountered a specific UI bug in a timeline feature where tapping the 'End' marker scrolled to 'Begin' but tapping 'Begin' did not scroll to 'End'. Despite all necessary handlers and state logic existing, GPT-6.1 Sol failed to identify the asymmetry in the execution path. The user, paying $200/month for ChatGPT Pro, expressed frustration at having to 'babysit' the AI, desiring autonomy through understanding the problem rather than autonomous patching.
This report details a specific instance where GPT-6.1 Sol failed to debug an asymmetric UI issue, unlike its expected capability to trace execution paths.
时间与来源
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发布当时偏移：UTC+02026年10月9日 18:14 UTC
收录当时偏移：UTC+02026年10月9日 20:00 UTC
- 发布
- 2026年10月9日 18:14
- 收录
- 2026年10月9日 20:00
- 来源类型
- 开发者社区
- 档位
- 社区
- 信源状态
- 正常
档位是按信源手工设定的编辑判断，不是逐条打分。
I had a very specific UI bug: a timeline with Begin/End markers. With the connector visible, tapping either marker should scroll to the other end. End → Begin worked fine, but Begin → End didn't.
All handlers and state logic already existed. All I needed GPT-6.1 Sol to do was trace the execution path and see where that asymmetry broke.
Instead, it felt like dealing with an agent from a year ago:
It wandered off into completely unrelated date-editing code.
Once it found the handler, it jumped to a theory about lazy rendering and started rewriting the scrolling implementation before checking what actually happened when I tapped Begin.
When I pushed back on the massive diff, it apologized for "over-engineering," reverted it, and immediately jumped to another blind guess.
A wrong hypothesis is totally fine. What’s exhausting is treating an unverified hunch as an absolute diagnosis, editing code around it, and defending it with confidence. I had to drag a flagship model back to basic debugging discipline: What did you observe? What are you inferring? Why are you changing code before checking what actually happens?
The eventual fix was a tiny adjustment to target positioning. Getting there felt like mostly babysitting.
I’m paying $200/mo for ChatGPT Pro. I want autonomy that comes after understanding the problem, not autonomous patching in place of understanding it.