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User values AI-assisted code based on trust and function, not origin

By PulseAugur Editorial · [1 sources] ·

A user on Mastodon expressed indifference to whether software is created by humans or AI, emphasizing that functionality and trustworthiness are the primary concerns. They highlighted Large Language Models (LLMs) as a tool that significantly accelerates their solo software development by bridging the gap between conceptualization and working code. The user stressed that AI-generated code, like any software, must still be rigorously reviewed and tested to earn trust, asserting that well-vetted AI-assisted code can be less risky than poorly documented human-written code. AI

IMPACT AI's role in software development is shifting focus from origin to verifiable quality and functionality.

RANK_REASON User opinion piece on AI-generated code.

Read on Mastodon — fosstodon.org →

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

User values AI-assisted code based on trust and function, not origin

COVERAGE [1]

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

    I don’t care whether software was written by a human, an # AI , or a mix of both. What matters is that it does what it’s supposed to do-and that I have enough v

    I don’t care whether software was written by a human, an # AI , or a mix of both. What matters is that it does what it’s supposed to do-and that I have enough visibility to trust it’s safe to use. For me, # LLMs have been the thing that made it possible to build the software I ne…

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