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The user said they would send the article directly to Claude Code and ask it to replicate the system described in the article.
The article shares a set of prompt techniques for performance optimization with Claude: rewrite code using data-oriented design (DOD), flatten hash tables into arrays, replace pointers with array indices, convert AoS to SoA, and even delete all caches entirely — to truly squeeze hardware performance instead of using caches to mask slow designs.
Addy Osmani shares a Claude Code tip: typing "ultrathink" while Claude works raises the effort for the rest of that turn, a feature recently re-enabled in the CLI by Anthropic's Adam Wolff.
swyx 分享 Andrej Karpathy 在其最新项目 Hackertube 中使用 Claude Opus 5.5 的 medium effort 设置，并认为对 effort level 的偏好如同 tabs vs spaces，应按需调整；他还引用自己主张低 effort 加批评迭代循环胜过超高 effort 设置的观点。
A user tested Opus 5.5 for AI video editing, saying it can generate a CapCut-like workspace and produces basically usable results, while other models are essentially unusable.
Addy Osmani shares prompting and workflow tips for Claude Opus 5.5, arguing users are overprompting newer models and outlining how to leverage autonomous verification, subagents, cloud sessions, and Projects in Claude Code.
本论文提出一种 POS-signature 检索策略，用于依存句法分析的 in-context learning 示例选择，结果显示其在 UD English Web Treebank 测试集上的标注附着分数优于语义相似度检索基线。
该论文提出 RE-ZS-CoT 框架，通过整合领域专家角色来增强大语言模型的零样本链式推理，并在 20 个 LLM 和 7 个基准上评估，最高提升达 44 个百分点。
EDMA提出了一种基于逻辑熵的多模态问答方法，将答题过程形式化为熵减迭代，并量化各模态对答案的贡献，在多个MMQA基准上显著优于Chain-of-Thought等基线。
HyperHat's founder shares results from a benchmark of 60 engineers directing AI coding agents, finding that specification quality, mechanism verification, and review behavior—not prompting tricks—separate strong engineers, and that most people miss partial agent failures.
The post introduces Dan Koe's "Human 3.0" life upgrade model, recommending that you hand over four dimensions of life — mind, body, spirit, and career — to AI as a life coach for self-review and improvement.
提出 Tool-Augmented Strategic Agent (TASA)，通过总结和利用优化轨迹、结合策略引导的自适应工具规划，提升 LLM 基于提示的组合优化（OPRO）的可追溯性与解质量。
An anecdotal comparison of Qwen 3.8 Flash-Next and GLM 5.3 Flash, noting QFN feels more conversational and collaborative while GLM tends to skip discussion and immediately start implementing, plus a request for prompting tips to make GLM more interactive.
A guide shared by an Anthropic Claude team member (English translation), proposing that we raise our ambition when using AI along four dimensions — speed, altitude, depth, and range — with practical methods and prompt techniques.
Matt Pocock 讨论为 /grill-me 技能添加 GRILL.md 配置文件，让用户能自定义规划阶段的审查重点（如安全性、模块策略）以及逐项或整体提问的方式。
Kent C. Dodds 值半开玩笑地指出，教人使用 AI 的一大半工作其实就是提醒他们："你问过你的 agent 这个问题了吗？"
该论文通过一个查询匹配的 SQL-pandas 基准进行受控实验，发现可见思维链（CoT）并非普遍的准确率提升手段，其效果取决于 persona、目标语言、模型配置与内部推理设置，因此推理策略应与模型和任务联合选择，而非采用通用默认方案。
Matt Pocock shares guidance on when to use /grill-with-docs, /wayfinder, or one-shot prompting for AI coding agents, advising one-shot for tiny diffs and starting with /grill-with-docs before escalating to /wayfinder for larger tasks.
Matt Pocock argues that as AI models improve, they also get better at using skills — and that good skills should communicate user intent while staying out of the model's way.
Matt Pocock shares a 'prompt of the day': a /wait-what command designed to collect questions an AI agent has accumulated in its context window after running autonomously for hours.