The current approach to intelligent agent development may be going astray. Many teams try to use a universal robot to handle everything—perceiving the market, making decisions, managing risks—but the result is often bulky and not precise enough.



The real opportunity lies in modularization. Instead of piling on features, it's better to use specialized intelligent agents to divide tasks and collaborate. Imagine this architecture: one agent dedicated to market sentiment analysis, another focused on trading execution logic, and an independent one responsible for risk control. The collaboration of these three lightweight, focused units can actually unleash greater efficiency.

This modular stacking approach offers a new perspective for Web3 developers. It's not about larger monoliths, but more flexible combinations.
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ForkMastervip
· 2025-12-20 19:44
Oops, someone finally said it. That team of big and comprehensive agents, to put it plainly, haven't figured out what they actually want to do. As a result, their code is bloated and prone to vulnerabilities and audit issues. I've been using the modular approach for a long time, and isolating the risk control module is really key—this way, even if there are bugs in the transaction execution layer, at least it won't cause a total collapse. The three kids I’m raising now have grown up alongside the contract code, and this kind of division of labor and collaboration is much more developer-friendly. If project teams truly want to do reliable analysis, instead of piling on features, they should first improve their security awareness.
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ChainMaskedRidervip
· 2025-12-20 10:06
I agree with this idea, but the real challenge is coordination. How to manage three agents acting independently?
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SchrodingerWalletvip
· 2025-12-20 06:35
That's a good idea. Indeed, the path of single giant beasts is not feasible. In the past, many projects did the same, resulting in code bloat and bugs everywhere.
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BearMarketSurvivorvip
· 2025-12-19 03:40
That's right, single-body giants should have been eliminated long ago.
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CascadingDipBuyervip
· 2025-12-17 21:57
The modular division of labor should have been played like this a long time ago; monolithic robots are indeed a pit. --- So the key still depends on who can coordinate these lightweight components well. --- Another seemingly new but actually very basic idea, why does it take another several teams half a year to figure it out. --- Agreed, a well-executed combination punch can crush the mediocre all-in-one solutions. --- The real question is how many can actually implement this architecture; most are just talking. --- This idea is somewhat similar to microservices; the Web3 ecosystem should have done this a long time ago. --- Lightweight + professional + coordination, we've found a way, and should continue to deepen in this direction.
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MEVSandwichMakervip
· 2025-12-17 21:55
It sounds like the microservices architecture, just moved to the agent and sold again?
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AirdropHermitvip
· 2025-12-17 21:55
Modularization is indeed interesting; I'm already tired of the monolithic approach.
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AirdropChaservip
· 2025-12-17 21:54
Modularity is truly the way to go; a large all-in-one AI agent is really disappointing.
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ILCollectorvip
· 2025-12-17 21:51
I agree with this approach. I've seen too many all-in-one AI agent projects before, and they all get stuck at the execution layer. You're right, modular division of labor is indeed the right path. The monolith is too heavy. Really, microservices should have been adopted long ago. But the problem is... who will coordinate these three modules? That seems to be the real challenge.
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