After New Year's Day, we restarted testing and iterating the trading bot. Over the past half month, we continuously refined trading strategies, made constant adjustments, and updated the code version by version. But during this process, you will notice an awkward phenomenon—project code quality is gradually declining.
Initially, it remained tidy, but as we kept making changes, it started to become cluttered, with various patches stacking up, eventually turning into a 💩 mountain. To be honest, I used to complain about others' 💩 mountain code at the company, and now it's my own project built from scratch that falls into the same pattern. This is a common routine of code decay.
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NotSatoshi
· 01-10 01:13
Changing it just turns into a sh*t mountain, it's fate.
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OnlyUpOnly
· 01-10 00:38
Code rot is really a problem; even the ones you build yourself can't escape it, haha.
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metaverse_hermit
· 01-09 07:31
Haha, this is the curse of development. The cost of rapid iteration is increasingly messy code.
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CoffeeNFTrader
· 01-08 14:51
Haha, this is karma. I used to criticize others, and now I can't escape it myself.
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Changing things repeatedly just leads to failure. It's a common problem... We need to find a way to refactor.
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So true. Code before deadlines is always like this—get it running first, then worry about quality.
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It’s always like this. Rapid iteration and code quality are indeed mortal enemies.
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This is the toughest test—either stop to refactor or keep digging the hole deeper.
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So modularization is key. Otherwise, any later changes will be a disaster.
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I totally agree. As the bot's logic complexity increases, it easily turns into spaghetti code.
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Have you ever thought about doing regular code reviews to catch the early signs of decay?
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I think setting checkpoints is crucial. Don’t let it keep deteriorating.
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Stacking patches like a Jenga tower is really a killer; disciplined refactoring is necessary.
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LiquidationWizard
· 01-08 14:50
Haha, really, it's almost time to maintain 💩 mountain code myself.
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That's why I never complain about others' code, because sooner or later it'll be my turn.
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Tinkering with it turns into a mess—such a familiar feeling, brother.
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When applying patches, you should realize the problem is serious; it's too late.
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Code debt piles up, and in the end, no one can pay it off.
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I used to think others' code was outrageous, and now I’m the same—ironic.
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BlockImposter
· 01-08 14:49
Haha, you got me. That's the fate of development.
Rapid iteration easily leads to technical debt, and by the time you want to refactor, it's too late.
Me too. The initial architecture design was quite elegant, but after a few sprints, it turned into a mess.
That part about patching like stacking blocks is so true—fix one bug and introduce five new ones.
Code quality and trading profits are inversely related, right? Haha, let me try the reverse approach.
Huh? Could it be that the worse the code is, the more coins you earn? I'll give it a try.
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BearMarketSurvivor
· 01-08 14:48
This is so real, constantly changing into a mess, and then having to refactor in a vicious cycle.
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probably_nothing_anon
· 01-08 14:44
Haha, this is fate. Fast forward to the refactoring hell.
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nft_widow
· 01-08 14:39
This is the reality, the cost of rapid iteration is 💩 mountain accumulation
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DegenApeSurfer
· 01-08 14:37
Haha, this is the reality—it's the cost of rapid iteration.
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I totally understand patch stacking; I initially thought I could refactor later, but it became increasingly difficult to fix.
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As expected, no one can escape this curse; technical debt always has to be paid back.
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The easiest trap to fall into when building a trading bot is frequent strategy adjustments—you're doomed.
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Laughing to death, from criticizing others to falling into the same trap yourself—that's called a causal loop.
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Doing a major refactor early might be more cost-effective than constantly patching.
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Relatable, this is why some people spend three months completely rewriting from scratch.
After New Year's Day, we restarted testing and iterating the trading bot. Over the past half month, we continuously refined trading strategies, made constant adjustments, and updated the code version by version. But during this process, you will notice an awkward phenomenon—project code quality is gradually declining.
Initially, it remained tidy, but as we kept making changes, it started to become cluttered, with various patches stacking up, eventually turning into a 💩 mountain. To be honest, I used to complain about others' 💩 mountain code at the company, and now it's my own project built from scratch that falls into the same pattern. This is a common routine of code decay.