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Actually providing examples of real tasks given to the AI and the subsequent results would break the illusion and give people opportunities to question the hype
by bakugo 1y ago
Actually providing examples of real tasks given to the AI and the subsequent results would break the illusion and give people opportunities to question the hype. Can't have that.
We'll just keep getting submission after submission talking about how amazing Claude Code is with zero real world examples.
- johnfn 1y agoReally, zero real world examples? What about this? https://news.ycombinator.com/item?id=44159166 https://news.ycombinator.com/item?id=44159166
- vincent_builds 1y agoAuthor here. It's fair enough. I didn't give real-world examples; that's partially down to what I typically work on. I usually work in brownfield backend logic in closed-source applications that don't showcase well. Two recent production features: 1. *Quota crossing detection system* - Complex business logic for billing infrastructure - Detects when usage crosses configurable thresholds across multiple metric types - Time: 4 days parallel work vs ~10 days focused without AI The 3-attempt pattern was clear here: - Attempt 1: DB trigger approach - wouldn't scale for our requirements - Attempt 2: SQL detection but wrong interfaces, misunderstood counter vs gauge metrics - Attempt 3: Correct abstraction after explaining how values are stored and consumed 2. *Sentry monitoring wrapper for cron jobs* - Reusable component wrapping all cron jobs with monitoring - Time: 1 day parallel vs 2 days focused Nothing glamorous, but they are real-world examples of changes I've deployed to production quicker because of Claude.