English(EN) How I build with AI: a 9-step loop, from first question to weekly review

开发者分享9步AI构建循环，强调人类决策

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-18 14:44

一位开发者概述了一个结构化的9步流程，用于构建AI驱动的功能，强调清晰的沟通和决策。该流程涉及AI协助研究和起草，而人类开发者则保留对关键决策和最终实施的控制权。这种方法关键在于给AI提供具体指令，例如先提供示例、避免行话，并以清晰、分步的方式呈现信息，必要时辅以视觉辅助。 AI

影响通过关注清晰的指令和人类监督，为开发者提供了一个更有效地利用AI进行工作流程的框架。

排序理由开发者分享使用AI工具的个人工作流程。

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: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 开发者分享使用AI工具的个人工作流程。
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, other; 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。

dev.to — LLM tag TIER_1 English(EN) · Yu Han Tey · 2026-10-18 14:44

我如何构建AI：从第一个问题到每周回顾的9个步骤循环

I build memory for an AI assistant: what it remembers about each user, and how that memory gets updated. I build it mostly with AI. AI can read twenty papers in the time it takes me to read one. So speed is no longer the bottleneck. My understanding is. S…