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Srikanth C argues AI shifts software development time from writing code to writing detailed blueprints
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Illustration only Photo by Anders Jildén on Unsplash
Srikanth C observes that using AI for software development shifts time from writing code to upfront system design, writing detailed blueprints, and refining development setups.
For engineers, the bottleneck in AI-assisted development is no longer typing code but effectively communicating context, managing context windows, and establishing robust feedback loops. The author notes that developers are now implementing in words instead of code, requiring strong explanation skills.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Prompting AI requires significant time, whether providing detailed instructions upfront or refining outputs afterward.
Context window limitations prevent feeding large codebases or dense specifications directly to models.
Developers must establish feedback loops through tests and tooling to improve the signal-to-noise ratio in growing codebases.
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