A founder of a startup recently shared an interesting phenomenon—after introducing AI coding tools, the entire team's way of collaboration has been completely transformed.
The most intuitive change is that the boundaries of roles have become blurred. Designers now start submitting code improvement suggestions themselves, eliminating the need to wait for engineers. Product managers and team members without technical backgrounds can quickly build prototypes to validate ideas, without being blocked by technical barriers. And engineers? They have more energy to focus on more challenging tasks—running experiments, optimizing architecture, exploring new technological directions.
He used a vivid analogy: the whole team is like having an electric assist system installed, reducing those inefficient repetitive tasks, and significantly speeding up exploration. The cycle from idea to execution shortens, feedback loops become tighter, and everyone can feel that sense of acceleration.
This kind of change is highly significant for startup teams—not just a simple tool upgrade, but a reconstruction of the entire collaboration model.
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ContractSurrender
· 01-14 08:03
Now all positions can be self-service, and engineers can finally slack off and work on architecture haha
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PancakeFlippa
· 01-14 06:45
Damn, this is what AI really does—it's not about stealing jobs but directly reducing the complexity of collaboration workflows.
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Honestly, I find it a bit hard to accept designers writing their own code; it seems engineers need to adjust their mindset.
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The analogy of an electric assist system is brilliant, but the problem is that as the pace quickens, people also get tired. Tight feedback loops mean problems come faster.
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This is what Web3 should be thinking about—don't just focus on token prices. Benchmarking this kind of team operation model is more worthwhile.
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Tsk, non-technical backgrounds can also prototype, so are layoffs really that far off? Haha.
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Really? It depends on the quality of AI tools. Mountains of garbage suggestions are pointless.
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Wait, is blurred role definition really a good thing? Or does it turn everyone into amateurs, leading to a lack of professionalism?
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I have a feeling that this logic is very eye-catching when telling stories in the capital markets, but how much of it is truly implementable?
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ApeDegen
· 01-11 15:45
Now designers and product managers can write code themselves. Will engineers become unemployed? Haha
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The analogy of the electric assist system is excellent, but in real scenarios, there must be a bunch of people resisting it.
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Sounds good, I just want to know how the code quality is... Anyone can submit changes, and technical debt might pile up rapidly.
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Wow, this is what AI should be doing—not replacing humans but making collaboration smoother. I really respect this idea.
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Wait, engineers are actually busier? Optimizing architecture is also a tough job; we don't want everyone to end up exhausted.
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For startups, it's suitable. For large companies, trying this approach might just cause chaos.
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Fuzzy roles sound great, but in reality, who is responsible for the final code? That's a problem, right?
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GweiObserver
· 01-11 15:44
Really? The designer submits code improvements themselves... This was unthinkable before, but now AI solves it instantly. It feels like engineers can finally breathe and work on something interesting.
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The analogy of the electric assist system is quite spot on. Startup teams need to move fast, and now they've directly eliminated those tedious handover processes. With a tighter feedback loop, the iteration speed has increased.
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Blurred role boundaries... At first glance, it might seem a bit chaotic, but in reality, it's just lowering the barriers to entry. Product managers can validate prototypes themselves without being stuck waiting on technical teams. This is true efficiency improvement.
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The key question is, how long can this mode last? It's great to accelerate with tools in the early stages, but in the long run, the team composition needs to be adjusted; otherwise, there will be pitfalls later.
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I'm curious about the specific business of this startup. Switching to a different track might have a very different effect.
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Reconstructing collaboration methods sounds very advanced, but basically, AI takes over those trivial tasks, freeing up human resources to focus on core things. But this also means that the requirements for basic work are actually higher.
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ruggedNotShrugged
· 01-11 15:41
Haha, not really. Now designers can modify the code too. Are engineers going to lose their jobs?
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ForkTongue
· 01-11 15:37
Hey really, now designers can also modify the code? It feels like engineers' jobs are a bit uncertain.
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LongTermDreamer
· 01-11 15:30
This is what I mean. Looking back after three years, the dividends from these AI tools are really about productivity liberation. Eliminating those repetitive tasks allows the team to truly focus on innovation... It seems that startup companies now are a bit behind if they don't use AI tools?
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AirdropHermit
· 01-11 15:26
Wow, this is truly a real productivity revolution, not just a marketing gimmick.
I really get the part about designers submitting code themselves; finally, no more being stuck with the tech guys.
But on the other hand, if this development continues, will engineers really become unemployed? Or does the threshold just become higher...
The analogy of electric assist is apt, but it still ultimately comes down to execution.
A founder of a startup recently shared an interesting phenomenon—after introducing AI coding tools, the entire team's way of collaboration has been completely transformed.
The most intuitive change is that the boundaries of roles have become blurred. Designers now start submitting code improvement suggestions themselves, eliminating the need to wait for engineers. Product managers and team members without technical backgrounds can quickly build prototypes to validate ideas, without being blocked by technical barriers. And engineers? They have more energy to focus on more challenging tasks—running experiments, optimizing architecture, exploring new technological directions.
He used a vivid analogy: the whole team is like having an electric assist system installed, reducing those inefficient repetitive tasks, and significantly speeding up exploration. The cycle from idea to execution shortens, feedback loops become tighter, and everyone can feel that sense of acceleration.
This kind of change is highly significant for startup teams—not just a simple tool upgrade, but a reconstruction of the entire collaboration model.