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From my own experience, AI has made me a better engineer. It automates the repetitive work so I can spend more time solving the interesting problems. It’s less about replacing people and more about amplifying what they’re capable of.
Do you have your own harness set up for this or did you use / modify something extant?

I'm still not sold on fully agentic workloads despite being pitched it constantly, but I do orchestrate multi model workflows myself for research work. I know advancements have been made but I haven't really gotten amazing results and it still requires babysitting.

The 'Auto' mode that e.g. Claude Code added a couple months ago is way more beneficial than the crazy multi agent workflows for what I'm doing, but I feel like there is some opportunity here that I just haven't been able to narrow my focus around enough so would love some pointers if you've got something working in a repeatable way.

Agentic systems need guardrails. That’s not an argument against using them. It’s an argument for deploying them correctly.
This is EXTREMELY worth reading and understanding, and not specific to OpenClaw but to these tools in general: https://arxiv.org/abs/2603.12277

There were updates made on June 27th, it's actively being researched and parts of this seem kind of intractable. The sandbox solution does help though, yes.
 
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