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is the point of this to actually assign tasks to an AI to complete end to end? Every task I do with AI requires atleast some bit of hand holding, sometimes repr
by asdev 1y ago
is the point of this to actually assign tasks to an AI to complete end to end? Every task I do with AI requires atleast some bit of hand holding, sometimes reprompting etc. So I don't see why I would want to run tasks in parallel, I don't think it would increase throughput. Curious if others have better experiences with this
- nmca 1y agowith a bad ai it is pointless, with a good ai it is powerful. codex-1 has been quite good in my experience
- masterj 1y agoThe example use-cases in the videos are pretty compelling and much smaller scope. “Here’s an error reported to the oncall. Give a try fixing it” (Could be useful even if it fails) Refactor this small piece I noticed while doing something else. Small-scoped stuff that likely wouldn’t get done otherwise. I wouldn’t ask LLMs for full-features in a real codebase but these examples seem within the scope of what they might be able to accomplish end-to-end
- sagarpatil 1y agoI am working with a 3rd party API (Exa.ai) and I hacked together a python script. I ran a remote agent to do these tasks simultaneously (augment.new, I’m not affiliated, I have early access) Agent 1: write tests, make sure all the tests pass. Agent 2: concert python script to fastapi Agent 3: create frontend based on fastapi endpoints I get a PR, I check code and see if it works and then merge to main. All three PR’s worked flawlessly (front end wasn’t pretty).