2026-01-10 00:23:08

Trace-based agent optimization sounds straightforward in theory, but the implementation complexity is often underestimated. Those starting their journey in this space should know: a basic implementation from ~18 months ago revealed critical scaling vulnerabilities quickly. The practical lesson? Begin minimal, test thoroughly, then incrementally layer on sophisticated features. This iterative approach helps identify failure points before they cascade at scale. The gap between concept and execution remains the real challenge.

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StableGeniusDegen

· 11h ago

It's that same argument of "start simple and then get more complex." It sounds easy, but in reality, it's probably the most prone to pitfalls.

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Gm_Gn_Merchant

· 14h ago

It's easiest to talk about strategies on paper, but once you get into the actual implementation, you'll realize how complex it really is... The people involved 18 months ago probably suffered some losses.

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RugDocDetective

· 01-10 00:53

The WoCao theory is way off from reality, I knew it would turn out like this

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EthMaximalist

· 01-10 00:46

Another "simple theory, complex practice" pitfall. Trace-based optimization really needs to start with minimization; otherwise, discovering scaling issues after 18 months is too late.

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MidnightSnapHunter

· 01-10 00:37

Oh my, it's the same old rhetoric about the gap between theory and implementation—it's a tired and familiar argument.

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Lonely_Validator

· 01-10 00:36

Well, this approach sounds reliable. I previously suffered losses because I wanted to do it all at once. Now I always start by setting up the minimal framework and getting it running before proceeding.

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BrokenYield

· 01-10 00:32

tbh the "begin minimal" crowd always gets wrecked when their prototype hits real liquidity. seen this movie 18 months ago, seen it last month... systemic risk doesn't care about your iterative roadmap, ngl

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SchrodingerPrivateKey

· 01-10 00:32

It's the same old routine of "Armchair Strategy vs. Real Hell." Trace-based stuff sounds simple, but in practice, it's a mess.

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