I repeatedly watched our projects miss deadlines, cut corners in SDLC, and eventually get rebuilt
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I learned that as software gets easier to build, coordination becomes the bottleneck.
At my previous work, I repeatedly watched our projects miss deadlines, cut corners in the SDLC, and eventually get rebuilt - not because engineers couldn’t build them, but because teams discovered too late that reality had diverged from the plan.
I also noticed smaller teams consistently moved faster. Not necessarily because they had better engineers, but because context travelled faster: everyone knew what changed, what was blocked, what had been tried, and why.
After years building AI-native systems for enterprises and leading engineers, I’ve seen the same pattern repeatedly: engineering slows down when context gets fragmented and feedback arrives late.
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adding another engineer can eventually slow the team down, more people also means more context that has to stay in sync
Meridian
@gleblapkovsky Exactly. AI has made building faster, but keeping everyone aligned has become harder.
@akarsh_hegde yes if we add more and more people in team then every one have their own ideas and work methods. so handle them all is very difficult.