Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate?
The reason is that writing code was never the rate limiter. Defining the right requirements, integrating with complex systems, and maintaining software under real-world c
Technical Analysis
Agentic AI has revolutionized coding, but why aren't products improving as fast? The truth is, writing code isn't the bottleneck. The real challenges lie in defining requirements, integrating complex systems, and maintaining software in real-world conditions. This shift highlights the broader issues in software engineering beyond just code generation. #ArtificialIntelligence #AI #MachineLearning #Tech #OpenAI
Key Points
Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before.
- Yet, a difficult question I’ve increasingly heard from business leaders is: if we’re shipping code faster than ever, why aren’t our products improving at the same rate?
The reason is that writing code was never the rate limiter.
- Defining the right requirements, integrating with complex systems, and maintaining software under real-world c
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