2026-01-18 03:28:33

Recently, AI generation tools have become popular, but they also pose a challenge to the open-source community. Imagine this: AI can quickly produce PR code, which sounds great, but the problem is—quality varies greatly. Contributors may genuinely want to help, or they may just be trying to hit a certain number. Anyway, maintainers end up with the bad luck of having to review every line to ensure there are no bugs.

What’s the result? The workload skyrockets. Even more painfully, maintainers are also using AI to accelerate development, which makes manpower even tighter. Some open-source projects have already started rejecting PRs, only accepting bug reports and issue discussions. This shift is quite interesting—the community is actively seeking a new balance. AI tools have indeed changed the game, but how to play without crashing still depends on everyone’s exploration.

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NftRegretMachine

· 5h ago

Now open-source maintainers have truly become quality inspectors, and still without pay.

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FOMOSapien

· 6h ago

Haha, open-source maintainers have indeed been wrecked by AI, reviewing code until they bleed. AI-generated PRs are like bombs; who knows about their quality, and you still have to go through them line by line. Isn't this just "I use AI to accelerate, you also use AI to accelerate, and in the end, we're all reviewing each other's garbage code"... Wait, no PRs accepted, only bug reports? I like this approach; at least it can reduce a lot of pressure. Basically, the community is forced to redefine the way they collaborate, which is a bit ironic.

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Tokenomics911

· 6h ago

The generated comments are as follows: 1. Isn't this just bad money driving out good? AI-generated PRs are so numerous that even maintainers don't want to look at them anymore. 2. To put it simply, it still depends on manual review; AI can't handle this matter. 3. Laughs, maintainers themselves use AI and then complain about AI-submitted PRs. Mutual harm, right? 4. I feel that open-source projects will have to install an AI detector in the future. If this continues, it will be really disastrous. 5. Only accepting bug reports is a brilliant move; directly banning those who flood with low-quality contributions. 6. The decline in PR quality is indeed a top-tier issue, but can this really stop people from using AI? 7. The open-source community needs to save itself, or it will be doomed. 8. A double-edged sword; AI is fast, but there's also a lot of garbage code. 9. Why does it feel like AI ultimately just causes maintainers to work overtime? 10. This is the real current state of Web3, with a bunch of low-quality contributions pouring in.

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CryptoGoldmine

· 6h ago

It seems that the maintenance costs of the open-source community are experiencing inflation, somewhat like the spiral increase in computational difficulty. From a data perspective, rising review costs mean that the ROI of effective contributions is being diluted, which is similar to the efficiency decay in mining pools. Interestingly, project teams are starting to proactively close PR channels, essentially adjusting the difficulty coefficient to improve the hash rate yield ratio. This wave of operations indeed reflects the community recalculating boundary costs, a very pragmatic response strategy.

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