I agree you cannot trust unsupervised LLM output for mission critical M2M use cases, but (imho) it will help you move faster to create and maintain integrations with human supervision (code->SVN->test harness part of CICD->human review [1] and editing + proposed fixes for failure detection via Sentry [2] or similar). My apologies I did not make that more clear further up subthread.
To determine if this creates a positive value creation trajectory, some implementation and caretaking of the code generation pipeline is necessary.
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I agree you cannot trust unsupervised LLM output for mission critical M2M use cases, but (imho) it will help you move faster to create and maintain integrations with human supervision (code->SVN->test harness part of CICD->human review [1] and editing + proposed fixes for failure detection via Sentry [2] or similar). My apologies I did not make that more clear further up subthread.
To determine if this creates a positive value creation trajectory, some implementation and caretaking of the code generation pipeline is necessary.
[1] https://medium.com/@rgranadosd/using-ai-to-build-our-apis-wi...
[2] https://docs.sentry.io/product/issues/issue-details/ai-sugge...