English(EN) The models are fine, our toolings and methods are shit.

开发者抱怨AI编码工具差，尽管模型能力强

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 18:42

一位拥有13年以上经验的开发者对当前AI编码助手的状况表示沮丧，尽管他承认像Qwen3.8 27b这样的模型能力很强。据开发者称，核心问题不在于模型本身，而在于将它们集成到开发工作流程中的工具和方法不足。他认为，当前系统难以向AI代理提供足够的上下文，导致错误和效率低下，使得在重要项目上进行手动编码更为可取。 AI

影响强调了AI开发工具中的一个关键差距，表明改进上下文管理和代理集成对于在专业编码中更广泛的应用是必要的。

排序理由用户对AI工具局限性的观点文章。

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户对AI工具局限性的观点文章。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, opinion; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 2 days old; Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/freehuntx · 2026-09-07 18:42

模型没问题，我们的工具和方法都是垃圾。

<div class="md">I've hit again a point where me as a developer have to take a break from all this slop shit. Im a Developer for 13+ years and i loved it. But i fell for the slop trap. First it started with copilot and to be honest, that w…

本文如何被排名

报道来源 [1]

模型没问题，我们的工具和方法都是垃圾。

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