Press Space to continue
AI code generation overlooks deployment and observability
Press Space to continue
The chatter about generating code with AI tools feels stuck at the "basic" level of... well, codegen, plus (perhaps) reviews and testing. I hear close to little talk about the things that come right after generating code: deploying, canarying, o11y, SLOs, error budgets etc
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