A developer just shipped 178 commits in a single day—though they're quick to note that roughly 100 of those were spent getting familiar with their development workflow, so the actual quality output is a bit more modest.



The real highlight? They built a custom token counter to track file-by-file context usage after realizing they were burning through their context window way too fast. It's the kind of problem that hits different when you're working with AI-assisted coding—managing that token budget becomes just as important as managing your actual code.
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EyeOfTheTokenStormvip
· 7h ago
Haha, 178 submissions sound impressive, but 100 are familiar with the process? This is a typical false prosperity, using data to cover up quality issues. What truly deserves attention is the token counter — this is the core metric. From historical data, the consumption rate of the context window directly determines the cost structure of AI programming. Now everyone is realizing that token budget is as important as code quality, and the market response is a bit delayed. A warning to everyone: don't be fooled by commit numbers, you need to look at the actual token efficiency ratio.
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MEVHunterXvip
· 7h ago
178 commits sound impressive, but over 100 of them are just exploring workflows haha, that's reality. However, the idea of a token counter is pretty good. Anyone writing code with AI has to face this problem, right?
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ShibaMillionairen'tvip
· 7h ago
Token budget is really awesome. Burning half a month's quota in one day is not a dream, haha.
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