Martin Fowler 在他最近的片段中讨论了大型语言模型（LLM）用于编程的理想语言。他建议，抽象级别应选择为允许最精确地表达程序语义，而不是默认使用低级编程语言。 AI
影响 提出了一种更精确的 LLM 编程方法，可能提高代理能力。
排序理由 由知名人士发表的关于人工智能能力的观点文章。
在 Mastodon — mastodon.social 阅读 →
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Martin Fowler 探讨 LLM 编程语言抽象
本文如何被排名
- Signal score
- 2 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 由知名人士发表的关于人工智能能力的观点文章。
- 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
- 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
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
-
在其最新片段中（https://martinfowler.com/fragments/2026-10-04.html），@mfowler 整理了一些关于 LLM 应使用的语言的思考，以进行
In his latest fragments ( https:// martinfowler.com/fragments/202 6-10-04.html ), @ mfowler pulled together some thoughts on the language LLMs should use to program in. I'd add this quote from Dijkstra to the mix: “The purpose of abstracting is not to be vague, but to create a ne…