Why AI’s speed is forcing tech leaders to rethink product strategy
By Bharani Subramaniam, CTO – India and the Middle East, Thoughtworks
The prevailing excitement around AI in software development rests on a single, largely unquestioned assumption: that these tools make engineers more productive by default.
But as development timelines shrink, turning what used to be a 10-day coding sprint into a single day of execution, a different reality is emerging. AI isn’t just accelerating code generation; it is radically compressing the decision-making process, creating a new kind of cognitive overload for our engineering teams.
Before AI, the actual implementation of code was the primary bottleneck in the software development lifecycle (SDLC). Developers had weeks to collaborate, test with users, understand the data, and weigh the trade-offs of their design, before or as they were coding.
Today, AI has obliterated that buffer. The cognitive load hasn’t increased because they have to remember more lines of code; it has increased because they...
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