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AI coding 'vibe' is fast, but refinement takes time and tokens

The process of AI-assisted coding, referred to as "vibe coding," is rapid for the initial generation phase. However, the subsequent stages of refining the code, such as reviewing, iterating, hardening, security scanning, performance profiling, ensuring accessibility, and documentation, require significant time and computational resources. Skipping these crucial post-generation steps results in a mere prototype rather than a production-ready application. AI

IMPACT Highlights the significant effort required for AI-generated code to move beyond prototype to production-ready status.

RANK_REASON The item discusses the process and challenges of AI-assisted coding, offering an opinion on its development lifecycle.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI coding 'vibe' is fast, but refinement takes time and tokens

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1 / 100
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Commentary
The item discusses the process and challenges of AI-assisted coding, offering an opinion on its development lifecycle.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    @ jz vibe coding is the fast part, it's the post-vibe reviewing, iterating, hardening, security scanning, performance profiling, accessibility, documenting, etc

    @ jz vibe coding is the fast part, it's the post-vibe reviewing, iterating, hardening, security scanning, performance profiling, accessibility, documenting, etc. that takes time and way more tokens. If you skip those steps it's just a prototype. # llm # ai # vibecoding