Too much code, too little shipped: Why AI needs a software factory
At TechSparks 2026, Tushar Mathur explained that while AI accelerates code generation, it does not necessarily speed up the overall software development lifecycle. He suggests moving toward systems that manage the entire lifecycle to avoid piles of unreviewed pull requests.
Key points
- AI increases code volume but can slow down delivery due to review bottlenecks.
- Traditional SDLC focuses on writing code, but bottlenecks have shifted to testing.
- Mathur proposes an AI-native 'software factory' model.
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