@nash_su: 官方给出的 Claude Code 在大型代码库中的最佳实践 当然同样的方法论也可以用在 Codex 或任何 Agent 上,AI 会犯错,会糊弄人,项目越大 AI 债越多,文章中是一些基本的防护和优化方式。 本文使用 http://Wi…
摘要
官方给出的Claude Code在大型代码库中的最佳实践,同样适用于Codex或其他AI Agent,介绍了基本的防护和优化方式。
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官方给出的 Claude Code 在大型代码库中的最佳实践
当然同样的方法论也可以用在 Codex 或任何 Agent 上,AI 会犯错,会糊弄人,项目越大 AI 债越多,文章中是一些基本的防护和优化方式。
本文使用 https://t.co/wGCv4oGgi9 快速改写并生成封面图和插图。感兴趣的可以使用下。 https://t.co/YV0J8zM0hA
WisMe.ai — Your personal AI knowledge base & reading assistant
Source: https://wisme.ai/en WisMe.aiPERSONAL KNOWLEDGE OS · β
VOL. 01 · ISSUE 04 · SPRING 2026§ PROLOGUE
CHROME EXTENSION · PRIVATE BETA
What you read, becomesyou.
A quiet companion that reads what you read, and weaves it into a knowledge of your own.
WisMe.ai is an AI research companion that lives in your browser. Itquietly recordswhat you read each day, distills what is worth remembering, builds your personal knowledge graph, and keepscollecting, researching, and connectingwhile you sleep.
12,847
pages recorded
across private beta
3.2M
knowledge nodes
extracted & linked
97%
recall accuracy
on user-marked items
your.graph / live
● RECDAY 1/7
AI Systems
+ NEW NODE
“Zettelkasten” captured from arxiv.org
∞ LINK DISCOVERED
RAG ↔ Long-term Memory
§ 01HOW IT WORKSFOUR QUIET ACTS
Not another note app. AnAI that reads with you.
“Knowledge should accumulate like compound interest — without compound effort.”
— DESIGN PRINCIPLE
STEP 01Observe
REC
Observe
The extension runs quietly in the background and records the pages you actually dwell on, revisit, and scroll. Noise is filtered out.
A quiet observer. Only pages you actually read — measured by dwell, scroll, re-visits.
STEP 02Distill
ENTRY · 04.17
Distill
Every night the AI reads your day, extracts key concepts, claims, data, citations, and writes a structured “daily knowledge entry”.
Each night, AI re-reads your day and extracts concepts, claims, data, citations.
STEP 03Weave
Weave
New entries are woven into your graph. The AI finds cross-day and cross-domain links, surfacing neighbouring ideas you might have missed.
Entries weave into your graph. Cross-day, cross-domain connections surface as you sleep.
STEP 04Research
?
Research
Give it a goal and the AI searches the web, traces citations, compares viewpoints, and writes the research report that’s still missing.
Give it a question. It searches the web, chases citations, writes the missing piece.
§ 02FEATURESEIGHT AFFORDANCES
Don’t change how you read — just make readingthicker.
01/ 08Silent Capture
Silent Capture
The extension recognises pages you actually read and ignores the fleeting noise.
02/ 08Interest Radar
Interest Radar
The AI infers what you’ve been focused on recently and flags important items you keep skipping.
03/ 08Daily Digest
Daily Digest
Delivered before 6 am the next morning: a distilled “what you read” with key points, new concepts, loose threads.
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Living Graph
Concepts, papers, people, events auto-connect. Trace by time, domain, or source.
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Serendipity
Rediscover a passage you read three months ago that happens to answer today’s question.
06/ 08Research Agent
Research Agent
Hand it a topic; the AI searches, compares, summarises, and returns a cited report.
07/ 08Web Reach
Web Reach
When your library lacks a piece, the AI crawls arxiv, Wikipedia, and domain sites to fill it.
08/ 08Secure by Default
Secure by Default
Data is encrypted in transit and at rest; common sensitive fields are redacted before storage.
§ 03THE LIVING GRAPHHOVER TO EXPLORE
AI SystemsRAGAgentsLong-term MemoryPKMZettelkastenKnowledge GraphEmbeddingsOntologySerendipityCitation NetSummarization
FIG. 03 — A ONE-WEEK SLICE OF YOUR GRAPH↓ DRAG · CLICK · FILTER
Every node carries aprovenance.
Click a node and you see: when and from which article and passage it was extracted; which neighbours it links to; and a one-line “why it matters” generated by the AI.
Nodes
concepts · people · papers · orgs
3,247
Edges
typed: cites, contradicts, extends, …
9,812
Sources
arxiv · ssrn · blogs · twitter · books
412 sites
Clusters
auto-detected by embedding density
27 themes
§ 04DAILY DIGESTHOVER ITEMS FOR DETAIL
A morning brief of what youread yesterday.
Like a personal Economist — but every item comes from your own reading yesterday. It keeps what is worth remembering, nudges you on what’s unfinished, and surfaces connections you may have missed.
DELIVERED BY 6 AM DAILY VIA EMAIL · BROWSER · API ~3 MIN READ · 8–12 ITEMS
THE DAILY · VOL. 214
Thursday, April 17
14 PAGES READ
est. 2h 18m · 6 domains
HEADLINE INSIGHT
“The three papers you read today share an unspoken premise:memory is reconstruction, not storage. This echoes the Tulving 1972 piece you read in March.”
GENERATED FROM · arxiv:2504.11203 · 2504.10998 · sciam.com
NEW CONCEPTS · 4
01
Reconstructive MemoryHIGH
Memory is active reconstruction, not passive replay
arxiv:2504.11203
02
Semantic DriftMEDIUM
Meaning of a concept drifts across a corpus
acl anth.
03
Epistemic HumilityMEDIUM
A deliberately trained cognitive humility
lesswrong
04
Hippocampal IndexingHIGH
Hippocampus as an index to memory — a hypothesis
nature
UNFINISHED · 3
The Scaling Hypothesis, Revisited
Making It Stick, ch. 7 — Meta-organization of knowledge
Memory, Attention and Prediction
§ 05RESEARCH AGENTLIVE DEMO
Hand it a question; it comes backunderstanding.
The agent first reads your existing library, then decides what else it needs externally. It chases citations, compares viewpoints, builds timelines, and delivers a cited, verifiable report you can keep questioning.
ASK THE RESEARCH AGENT
DEPTH: DEEP · SOURCES: 8–12 · ETA: ~3 MIN
RESEARCH.TRACE · LIVE
○ IDLE
PLAN
Decompose into 4 sub-questions and plan the search path
RECALL
Search your existing library
EXTERNAL
Launch external search & crawling
SYNTHESIZE
Compare viewpoints; identify consensus and divergence
WRITE
Draft a cited report
SECURE BY DEFAULT
Your reading, should belong only toyou.
All data is encrypted in transit and at rest; common sensitive fields are redacted before storage. You can permanently delete your data at any time.
OUR COMMITMENTS
01End-to-end encryption in transit & at rest
02Automatic redaction of sensitive content
03Permanent delete on request
04SOC 2 & GDPR aligned
§ 06PRICINGSIMPLE · TRANSPARENT
Pick the pacethat fits you.
Free includes 50 credits and a daily Lite report, enough to start capturing and running lightweight page conversations. Pro includes 1,000 monthly credits for AI chat, Workbench nodes, and Skills; daily reports are included in the subscription.
Start accumulating
Start accumulating.
- →Unlimited browser extension
- →50 credits every month
- →Daily Lite report
- →Usually enough for 100+ lightweight page conversations
Let reading compound
Let reading compound.
LIMITED OFFER19\.9014.50USD
/ month
- →Everything in Free
- →1,000 credits every month
- →AI chat, Workbench nodes, and Skills consume credits
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- →Knowledge graph and long-term history retention
- →Cancel anytime; access remains until period end
Autonomous research, always on
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$100.00USD
/ month · tentative
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- →Multimodal generation allowance
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USD / CNY PRICING · BILLED MONTHLY · CANCEL ANYTIMEEDUCATIONAL / NONPROFIT DISCOUNTS AVAILABLE →
§ CODA
Start letting your reading actuallyaccumulate.
Install the extension. Close this tab. Read as you always do. See what you’ve become in one week.
NO CREDIT CARD · CHROMIUM · EDGE · ARC · BRAVE
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@nash_su: https://x.com/nash_su/status/2055541927508881654
本文详细介绍了Claude Code在大型代码库中的最佳实践,强调工具链(CLAUDE.md、钩子、技能、插件、LSP集成、MCP服务器和子代理)比模型本身更重要,并建议团队优先投资代码库设置以获得更好效果。
@shao__meng: Claude Code、Cursor、Codex、Aider、Cline 部分底层模型可能完全相同,但 Agent 表现却不一样,为什么? @addyosmani 认为:是因为模型之上的那层“外壳” —— Harness,它包括「提示词、…
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