The influx of low-quality applications and web pages is becoming hard to ignore lately. A lot of it stems from developers relying on AI-assisted coding tools without proper quality control. Here's the thing—AI for coding is real and spreading fast, but it's creating a paradox. When you use AI to generate content, the output is often mediocre, repetitive infoFi slop. Yet somehow, the same tool applied to code generation is treated differently. Why? Because shipping fast beats shipping right for many. The problem isn't AI itself; it's the execution gap between those who use it as a productivity lever versus those who treat it as a replacement for actual engineering. We need to call this what it is—code generation without rigor. Until devs add real oversight and testing into their workflow, expect more bloat on-chain and more abandoned projects cluttering the space.
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FastLeaver
· 01-09 11:50
It's so realistic. Nowadays, many projects go live immediately after AI generation without any testing at all.
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BrokeBeans
· 01-07 02:04
Rapid iteration is indeed a poison, but no one wants to slow down
AI-generated code is just a semi-finished product, and if it really goes live, it still needs manual intervention
This is the reason why Web3 is so chaotic right now; a bunch of trash projects are built this way
Testing? What's that, sounds so expensive
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FlashLoanLord
· 01-06 12:52
Speed first, quality second, this is the current curse.
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AlwaysMissingTops
· 01-06 12:46
This is exactly what bothers me the most—rapid iteration has turned into rapid unfinished projects...
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To be honest, the current scene is ruined by a culture of rushing work. Skipping testing and talking about engineering is just not acceptable.
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AI-generated code isn't scary; what's scary is that no one wants to spend time reviewing it. This attitude is the main reason for the accumulation of garbage projects on the chain.
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The root of the problem isn't the tool itself but what’s in the minds of the people using it... Rapid deployment > Quality assurance. It's a miracle that this logic has persisted until now.
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On-chain garbage projects are increasing, and this definitely has a lot to do with AI cutting corners. Code generation without strict review is just digging a hole.
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It feels like the entire Web3 is flooded with these shoddy products. Where has the developer's sense of responsibility gone?
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AI tools themselves are not the problem, but when they become an excuse to avoid testing and code review, that’s a disaster.
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GasGuzzler
· 01-06 12:46
Rapid iteration and quality control, indeed hard to achieve both at the same time.
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PaperHandSister
· 01-06 12:34
Hmm... That's why there have been so many on-chain scam projects lately. Developers using AI to cut corners really makes things easier.
The influx of low-quality applications and web pages is becoming hard to ignore lately. A lot of it stems from developers relying on AI-assisted coding tools without proper quality control. Here's the thing—AI for coding is real and spreading fast, but it's creating a paradox. When you use AI to generate content, the output is often mediocre, repetitive infoFi slop. Yet somehow, the same tool applied to code generation is treated differently. Why? Because shipping fast beats shipping right for many. The problem isn't AI itself; it's the execution gap between those who use it as a productivity lever versus those who treat it as a replacement for actual engineering. We need to call this what it is—code generation without rigor. Until devs add real oversight and testing into their workflow, expect more bloat on-chain and more abandoned projects cluttering the space.