The Second Wave of AI Coding: From Assistants to Architects

Will the next great software developer even be human? AI coding tools are making that question harder to answer.

AI-powered coding is entering its second wave, with startups like Cosine, Poolside, and Zencoder creating models that don’t just autocomplete code; they understand, debug, and optimize it.

These tools aim for a deeper level of “correctness,” replicating the logic and decision-making of human developers. By capturing the steps coders take, what’s being called “breadcrumb data,” models are being trained to go beyond finished code to master the process itself.

Some firms, like Merly, argue that AI coding systems should evolve into autonomous creators, requiring humans only to assist. With major players seeing software generation as a stepping stone to artificial general intelligence (AGI), the way we build and maintain software is being fundamentally redefined.

Is the rise of autonomous coding assistants an opportunity to supercharge human creativity—or the start of a new era of job displacement?

Read the full article on MIT Technology Review.

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