A certain development team is now using Claude to help new team members get started with the codebase. When engineers encounter unclear implementation details, they directly ask Claude, "Why is it written like this here?" It can automatically search through git history and related code logic to provide explanations. As a result, the onboarding time for new engineers is significantly shortened. From repeatedly reviewing documentation and asking senior developers to understanding core logic in just a few sentences, the efficiency improvement is quite noticeable. This AI-assisted development process is quite helpful in expanding team size and accelerating iteration speed.

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LiquiditySurfervip
· 14h ago
Now the senior developers are really going to lose their jobs, haha
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LayoffMinervip
· 14h ago
It should have been like this a long time ago, so you don't have to ask people and wait half a day for a reply.
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ColdWalletGuardianvip
· 14h ago
Now senior developers are really going to lose their jobs; asking Claude is much faster than asking a person.
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PriceOracleFairyvip
· 14h ago
ngl this is just onboarding liquidity into developer efficiency... claude's basically acting as a price oracle for code knowledge now, cutting out the middleman (senior devs lmao). the real arbitrage here is time saved vs institutional knowledge gatekeeping. curious tho — does it actually catch those nasty cross-chain correlation bugs or just surface-level stuff?
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TokenTaxonomistvip
· 15h ago
nah this is just claude doing what it was literally designed to do... let me pull up my spreadsheet on actual onboarding metrics though, because "明显缩短" without baseline data is taxonomically incorrect imo
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