https://blog.chuanxilu.net/en/tags/claude/Recent content in Claude on Chuanxilu for Skilled Homo sapiensHugoen-USFri, 05 Jun 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/06/opencode-triple-config-switch/Fri, 05 Jun 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/06/opencode-triple-config-switch/Three parallel OpenCode configs from real pain points—omo full version, oms slim version, clean mode. Environment variable switching for the right tool in each scenario.https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-graduation/Sat, 30 May 2026 07:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-graduation/Final part of the AI Path L0→L1 Upgrade Guide series. Use the L1 graduation checklist to assess your four weeks of progress, then preview the two paths from L1 to L2: API-based automation or autonomous execution AI.https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-week4/Tue, 26 May 2026 07:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-week4/Part 4 of the AI Path L0→L1 Upgrade Guide. Build a prompt library, pick the right tool for each job (with separate maps for international and Chinese users), and learn a tiered approach to knowledge management, because not every AI output is worth saving.https://blog.chuanxilu.net/en/posts/2026/05/ai-tip-which-ai-to-use/Fri, 15 May 2026 06:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/ai-tip-which-ai-to-use/Tried ChatGPT, Claude, Gemini, DeepSeek, still not sure which one to use? A scenario-based framework to find the right fit.https://blog.chuanxilu.net/en/posts/2026/05/anthropic-alignment-to-prompt-design/Thu, 14 May 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/anthropic-alignment-to-prompt-design/Anthropic discovered that teaching models "why" works better than teaching them "what": misalignment dropped from 22% to 3%. This insight from safety training applies to everyday prompt design too.https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-week1/Mon, 11 May 2026 08:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/05/ai-path-l0-l1-week1/First part of the AI Path L0→L1 Upgrade Guide series. LLMs aren't search engines; they generate answers rather than retrieve them. Understand the difference between working memory and long-term memory, learn the strengths of mainstream platforms, and build the cognitive foundation for the next 4 weeks of practice.https://blog.chuanxilu.net/en/posts/2026/04/managing-context-length-in-ai-coding-sessions/Sat, 18 Apr 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/04/managing-context-length-in-ai-coding-sessions/Someone in a group chat complained that GPT-5.4 performed worse than Doubao, ByteDance's chatbot: the model would give irrelevant answers without even reading the question. After asking some follow-up questions, I learned they had fed it many documents and the conversation had gone on for a long time. This probably wasn't the model's problem; it was context rot. The conversation had gotten so long that the model could no longer 'see' the current task clearly. This raises an overlooked problem: in the process of vibe coding or writing, how do you manage context effectively to avoid token and time wasted on model performance degradation?https://blog.chuanxilu.net/en/posts/2026/04/seven-human-ai-collaboration-patterns-in-aristotle/Thu, 16 Apr 2026 21:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/04/seven-human-ai-collaboration-patterns-in-aristotle/Looking back at the Aristotle project: from initial design to the GEAR protocol; I identified seven distinct collaboration patterns between myself and AI. As AI gets more capable, human judgment doesn't become less important. It becomes more critical.https://blog.chuanxilu.net/en/posts/2026/04/from-scars-to-armor-harness-engineering-practice/Sat, 11 Apr 2026 01:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/04/from-scars-to-armor-harness-engineering-practice/The first version of Aristotle looked smooth. In practice, it exposed four architectural problems. Fixing them validated the trust model and harness engineering framework from Part 3: every constraint encodes a trust judgment.https://blog.chuanxilu.net/en/posts/2026/04/claude-code-reflect-different-soil/Mon, 06 Apr 2026 14:56:00 +0800https://blog.chuanxilu.net/en/posts/2026/04/claude-code-reflect-different-soil/The same reflection mechanism lands on different platform foundations with very different landing postures and paths: from plugin installation to permission pitfalls to API concurrency, documenting the actual development process on Claude Code.https://blog.chuanxilu.net/en/posts/2026/04/aristotle-ai-reflection/Mon, 06 Apr 2026 10:00:00 +0800https://blog.chuanxilu.net/en/posts/2026/04/aristotle-ai-reflection/Installing reflection capability into AI coding assistants: when the model makes a mistake, immediately trigger root cause analysis and transform the correction into persistent rules.