Generated: 2026-04-03T20:31:35+08:00
Template: plan
Evidence count: 20
raw capture -> structured synthesis -> writeback -> lint.raw/2026-03-07-blog-第-3473-期-这就是如何利用大型语言模型来帮助我编写代码的方法-c33013.md (score=61)raw/2026-03-07-blog-django-创造者-simon-willison-分享-我如何使用-llm-帮我写代码-5365b2.md (score=60)raw/2026-03-27-2026-03-27-autoresearchclaw-全自主研究管线.md (score=46)raw/ 目录 - 用 LLM 增量"编译"成一个 wiki——就是一个目录结构里的 .md 文件集合 - Wiki 包含：所有 raw/ 数据的摘要、反向链...raw/2026-04-03-2026-04-03-karpathy-llm-knowledge-bases-个人知识库构建方法.md (score=33)note ask --mode synth --writeback for one topic.wiki/topics.[blog-import]: 12migrated: 8research: 1llm: 1knowledge-base: 1agent: 1raw/2026-03-07-blog-第-3473-期-这就是如何利用大型语言模型来帮助我编写代码的方法-c33013.md · score=61 · --- title: "【第 3473 期】这就是如何利用大型语言模型来帮助我编写代码的方法" url: --- # 【第 3473 期】这就是如何利用大型语言模型来帮助我编写代码的方法 前言 分享如何利用大型语言模型（LLMs）来辅助编写代码，强调了这一过程的困难性和非直观性，并提供了一系列实用的技巧和经验。今日前端早读课文章由 @Simon Willison 分享，@飘飘翻译。 译文从这开始～～ 在讨论如何使用大型语言模型（LLM）编写代码时，总会有开发者表示他们的体验并不理想。他们常常疑惑自己是不是做错了什么 ------ 为什么有些人能取得不错的成果，而自己却收效甚微？ 使用 LLM 编写代码既困难又不直观。要真正掌握它的优...raw/2026-03-07-blog-django-创造者-simon-willison-分享-我如何使用-llm-帮我写代码-5365b2.md · score=60 · --- title: "Django 创造者 Simon Willison 分享：我如何使用 LLM 帮我写代码" url: --- # Django 创造者 Simon Willison 分享：我如何使用 LLM 帮我写代码 近段时间，著名 AI 科学家 Andrej Karpathy 提出的氛围编程（vibe coding）是 AI 领域的一大热门话题。简单来说，氛围编程就是鼓励开发者忘掉代码，进入开发的氛围之中。更简单地讲，就是向 LLM 提出需求，然后「全部接受」即可。 当然，这种使用 LLM 编程的方法过于简单粗暴，或许并不适合用来开发一些更加复杂和精细的项目。近日，探索和发表数据的开源工具 Datasette 的...raw/2026-03-07-blog-my-llm-coding-workflow-going-into-2026-015408.md · score=52 · --- title: "My LLM coding workflow going into 2026" url: --- # My LLM coding workflow going into 2026 AI coding assistants became game-changers this year, but harnessing them effectively takes skill and structure. These tools dramatically increased what LLMs can do for real-world coding, and many developers (myself...raw/2026-03-27-2026-03-27-autoresearchclaw-全自主研究管线.md · score=46 · # AutoResearchClaw：从想法到论文的全自主研究管线 > 项目：aiming-lab/AutoResearchClaw > 来源： > Stars：8,896 · Forks：945 · Language：Python · License：MIT > 更新：2026-03-26 > 标签：autonomous-research, multi-agent-debate, self-evolving, openclaw --- ## Chat an Idea. Get a Paper. Fully Autonomous & Self-Evolving. --- [](docs/showcase/SHOWCASE.md) *...raw/2026-03-07-blog-how-to-turn-claude-code-into-a-domain-specific-coding-agent-9e2421.md · score=41 · --- title: "How to turn Claude Code into a domain specific coding agent" url: --- # How to turn Claude Code into a domain specific coding agent Authored by: Coding agents are great at writing code that uses popular libraries on which LLMs have been heavily trained on. But point them to a custom library, a new version o...raw/2026-03-07-blog-conversation-llms-and-the-what-how-loop-9b04fc.md · score=39 · --- title: "Conversation: LLMs and the what/how loop" url: --- # Conversation: LLMs and the what/how loop Unmesh The primary challenge of software development is to build systems that survive change. People new to programming, and people who don't code for a living but hire those who do, often think of programming as a...raw/2026-03-07-blog-how-to-write-a-good-spec-for-ai-agents-000c9c.md · score=38 · --- title: "How to write a good spec for AI agents" url: --- # How to write a good spec for AI agents **TL;DR: Aim for a clear spec covering just enough nuance (this may include structure, style, testing, boundaries) to guide the AI without overwhelming it. Break large tasks into smaller ones vs. keeping everything in ...raw/2026-03-07-blog-how-to-not-be-overwhelmed-by-ai-a-developer-s-guide-to-using-e8aaeb.md · score=36 · --- title: "How to Not Be Overwhelmed by AI – A Developer’s Guide to Using AI Tools Effectively" url: --- # How to Not Be Overwhelmed by AI – A Developer’s Guide to Using AI Tools Effectively If you're a developer, you'll likely want to use AI to boost your productivity and help you save time on menial, repetitive task...raw/2026-04-03-2026-04-03-karpathy-llm-knowledge-bases-个人知识库构建方法.md · score=33 · # LLM Knowledge Bases — Karpathy 的个人知识库构建方法 > 作者：Andrej Karpathy > 类型：方法论 / 工作流 > 日期：2026-04-03 --- ## 核心理念 用 LLM 构建个人知识库。大部分 token 消耗不是在操作代码，而是在操作知识（以 Markdown 和图片形式存储）。 ## 完整工作流 ### 1. Data Ingest（数据摄入） - 将源文档（文章、论文、仓库、数据集、图片等）索引到 raw/ 目录 - 用 LLM 增量"编译"成一个 wiki——就是一个目录结构里的 .md 文件集合 - Wiki 包含：所有 raw/ 数据的摘要、反向链...raw/2026-03-07-blog-context-engineering-bf3dc3.md · score=31 · --- title: "Context Engineering" url: --- # Context Engineering ### TL;DR {#tldr} Agents need context to perform tasks. Context engineering is the art and science of filling the context window with just the right information at each step of an agent's trajectory. In this post, we break down some common strategies --- *...raw/2026-03-28-如何从零开始实现一个-ai-agent-框架-理论-实践.md · score=27 · # 如何从零开始实现一个 AI Agent 框架（理论+实践） > 公众号: 腾讯云开发者 > 发布时间: 2026-02-26 08:46 > 原文链接: --- 关注腾讯云开发者，一手技术干货提前解锁👇 > 人类最重要的 affordance 是“手”，而 AI 最重要的 affordance 可能是“代码”。 > > Shunyu Yao 年初火爆现在热度依旧的OpenClaw为AI Agent带来了新的想象。如果说2025是AI Agent智能体元年，想必2026将会是AI Agent真正商用化的开端，而AI Agent商用化的前提是各行各业开始落地实际商业领域的AI Agent。 作为一名程序员/工程师，思考的更多的可能是...raw/2026-04-03-2026-04-03-karpathy-llm-knowledge-bases-个人知识库构建方法-1.md · score=27 · # LLM Knowledge Bases — Karpathy 的个人知识库构建方法 > 作者：Andrej Karpathy > 类型：方法论 / 工作流 > 日期：2026-04-03 --- ## 核心理念 用 LLM 构建个人知识库。大部分 token 消耗不是在操作代码，而是在操作知识（以 Markdown 和图片形式存储）。 ## 完整工作流 ### 1. Data Ingest（数据摄入） - 将源文档（文章、论文、仓库、数据集、图片等）索引到 raw/ 目录 - 用 LLM 增量"编译"成一个 wiki——就是一个目录结构里的 .md 文件集合 - Wiki 包含：所有 raw/ 数据的摘要、反向链...raw/2026-03-30-2026-03-30-top-ai-papers-of-the-week-1.md · score=26 · # 🥇Top AI Papers of the Week > 作者：DAIR.AI (@dair_ai) > 简介：Democratizing AI research, education, and technologies. New AI learning portal: > 日期：2026-03-29 > 来源： > 互动：286 likes · 51 retweets · 410 bookmarks · 43027 views --- The Top AI Papers of the Week (March 23 - March 29) ## 1. Hyperagents Self-improving AI systems p...raw/2026-03-30-2026-03-30-top-ai-papers-of-the-week.md · score=26 · # 🥇Top AI Papers of the Week > 作者：DAIR.AI (@dair_ai) > 简介：Democratizing AI research, education, and technologies. New AI learning portal: > 日期：2026-03-29 > 来源： > 互动：286 likes · 51 retweets · 410 bookmarks · 43027 views --- The Top AI Papers of the Week (March 23 - March 29) ## 1. Hyperagents Self-improving AI systems p...raw/2026-03-25-daily-digest-445e01.md · score=23 · # daily-digest ## 09:30 # Daily Digest — 2026-03-25 Source notes: - - - - - - ## New items - Decision artifacts (3 operating calls) — — Converts yesterday’s reading into three concrete bets: closed-loop harnesses, platform-level context governance, and infra→memory→routing build order. - **Morning Pack: Claude Code...raw/2026-03-07-blog-claude-code-anthropic-s-agent-in-your-terminal-24f0af.md · score=22 · --- title: "Claude Code: Anthropic's Agent in Your Terminal" url: --- # Claude Code: Anthropic's Agent in Your Terminal *Last few days for - most of the have been announced! Limited tix for are available, and you can also get discounted tickets via and ! The AIE Expo has but we have opened a for the Hackathon (winners ...raw/2026-03-07-blog-ai-coding-长文分享-如何真正把工具用起来-从原理到实践-92cd26.md · score=21 · --- title: "AI Coding 长文分享：如何真正把工具用起来，从原理到实践" url: --- # AI Coding 长文分享：如何真正把工具用起来，从原理到实践 阿里妹导读 本文从原理到实践系统地分享了如何高效使用AI编程工具。涵盖其底层机制（如Token计算、工具调用、Codebase索引与Merkle Tree）、提升对话质量的方法（如规则设置、渐进式开发）、实际应用场景（如代码检索、绘图生成、问题排查），并推荐了结合AI的编码最佳实践，包括文档、注释、命名规范和安全合规，旨在帮助不同经验水平的开发者真正把AI工具用好。 一、引言 本文在编写时尽量考虑了不同业务、不同经验、对 AI 编程抱有不同态度的同学的需求...raw/2026-03-07-blog-从-react-到-ralph-loop-ai-agent-的持续迭代范式-6e1b1b.md · score=21 · --- title: "从 ReAct 到 Ralph Loop：AI Agent 的持续迭代范式" url: --- # 从 ReAct 到 Ralph Loop：AI Agent 的持续迭代范式 痛点：AI 编程助手为何总是"半途而废"？ 在使用 AI 编程工具时，开发者经常遭遇以下困境： 过早退出：AI 在它认为"足够好"时就停止工作，而非真正完成任务 单次提示脆弱：复杂任务无法通过一次提示完成，需要反复人工干预 重新提示成本高：每次手动重新引导都在浪费开发者时间 上下文断裂：会话重启后，之前的所有进展和上下文全部丢失 这些问题的本质是：LLM 的自我评估机制不可靠 --...raw/2026-03-24-daily-digest-784daf.md · score=20 · # daily-digest ## 09:31 # Daily Digest — 2026-03-24 ## New items - Decision Artifacts Daily — [[decision-artifacts-daily.md]](file:///Users/hexudong/documents/notes/2026-03-24/decision-artifacts-daily.md) Distills three strategy calls: execution-chain beats raw model IQ, MCP is the hedge layer, and enterprise moat ...raw/2026-03-07-blog-understanding-spec-driven-development-kiro-spec-kit-and-tess-874e6f.md · score=18 · --- title: "Understanding Spec-Driven-Development: Kiro， spec-kit， and Tessl" url: --- # Understanding Spec-Driven-Development: Kiro， spec-kit， and Tessl I've been trying to understand one of the latest AI coding buzzword: Spec-driven development (SDD). I looked at three of the tools that label themselves as SDD tools ...