# Study Notes

## Study Notes

- [Kuma Blog](https://snowan.gitbook.io/study-notes/readme.md)
- [AI-blogs](https://snowan.gitbook.io/study-notes/ai-blogs.md)
- [The Agent Harness: The Infrastructure Layer That Makes AI Agents Actually Work](https://snowan.gitbook.io/study-notes/ai-blogs/agent-harness-deep-dive.md)
- [AI Inference Batching: Static, Dynamic, and Continuous Batching Explained](https://snowan.gitbook.io/study-notes/ai-blogs/ai-inference-batching-explained.md): A comprehensive guide to AI inference batching mechanisms. Learn when to use static, dynamic, or continuous batching, understand the tradeoffs, and make informed decisions for your AI inference API de
- [The Complete Guide to Building Skills for Claude — Summary & Key Takeaways](https://snowan.gitbook.io/study-notes/ai-blogs/anthropic-skills-guide-summary.md)
- [12 Ways to Customize Claude Code — Boris Cherny's Latest Guide](https://snowan.gitbook.io/study-notes/ai-blogs/boris-cherny-customize-claude-code.md)
- [Boris Cherny: How the Creator of Claude Code Actually Works](https://snowan.gitbook.io/study-notes/ai-blogs/boris-cherny-on-building-with-ai.md)
- [System Design: Designing Chess.com](https://snowan.gitbook.io/study-notes/ai-blogs/chess-system-design.md)
- [How Claude Code Agent Teams Actually Works - reverse Claude Code Agent Teams use CC](https://snowan.gitbook.io/study-notes/ai-blogs/claude-code-agent-teams.md)
- [Deep Dive: Claude Code Memory Architecture](https://snowan.gitbook.io/study-notes/ai-blogs/claude-code-memory-architecture.md)
- [Dario Amodei: "We Are Near the End of the Exponential"](https://snowan.gitbook.io/study-notes/ai-blogs/dario-amodei-end-of-exponential-dwarkesh-2026.md)
- [Demystifying Agent Harnesses: The Infrastructure Layer That Actually Makes AI Agents Work](https://snowan.gitbook.io/study-notes/ai-blogs/demystifying-agent-harness.md)
- [System Design: ChatGPT — An AI Inference Platform at Scale](https://snowan.gitbook.io/study-notes/ai-blogs/design-chatgpt-ai-inference-platform.md)
- [System Design: Distributed Crossword Puzzle Solver](https://snowan.gitbook.io/study-notes/ai-blogs/design-crossword-puzzle-solver.md)
- [System Design: Google Calendar](https://snowan.gitbook.io/study-notes/ai-blogs/design-google-calendar.md)
- [System Design: In-Memory Database](https://snowan.gitbook.io/study-notes/ai-blogs/design-in-memory-database.md)
- [System Design: Multi-Tenant URL Shortener with Organization Namespaces](https://snowan.gitbook.io/study-notes/ai-blogs/design-multi-tenant-url-shortener.md)
- [System Design: Online IDE](https://snowan.gitbook.io/study-notes/ai-blogs/design-online-ide.md)
- [System Design: Payment System](https://snowan.gitbook.io/study-notes/ai-blogs/design-payment-system.md)
- [System Design: Point of Interest (POI) System](https://snowan.gitbook.io/study-notes/ai-blogs/design-poi-system.md)
- [System Design: Slack — Enterprise Real-Time Messaging](https://snowan.gitbook.io/study-notes/ai-blogs/design-slack-messaging-system.md)
- [System Design: Text-to-Video Generation Pipeline (Sora-like)](https://snowan.gitbook.io/study-notes/ai-blogs/design-text-to-video-generation.md)
- [System Design: Webhook Delivery System](https://snowan.gitbook.io/study-notes/ai-blogs/design-webhook-delivery-system.md)
- [System Design: YouTube — A Video Streaming Platform at Scale](https://snowan.gitbook.io/study-notes/ai-blogs/design-youtube-video-streaming-platform.md)
- [Dynamic Rate Limiting for AI Inference: Why RPM is Dead](https://snowan.gitbook.io/study-notes/ai-blogs/dynamic-rate-limiting-ai-inference.md): Why traditional rate limiting fails for LLMs, and how to build adaptive, token-aware limiters that protect your GPU resources.
- [System Design: CI/CD Pipeline Like GitHub Actions](https://snowan.gitbook.io/study-notes/ai-blogs/github-actions-architecture-deep-dive.md)
- [How to Build an Agent Harness: A Practical Guide from Teams Who Actually Did It](https://snowan.gitbook.io/study-notes/ai-blogs/how-to-build-agent-harness.md): A practical, implementation-level guide to building agent harnesses, synthesized from the hard-won lessons of five production teams: Anthropic (Claude Code), OpenAI (Codex), Manus, LangChain (DeepAgen
- [Letta's Context Repositories: Git-based Memory for Coding Agents](https://snowan.gitbook.io/study-notes/ai-blogs/letta-context-repositories.md)
- [Deep Dive: How OpenClaw's Memory System Works](https://snowan.gitbook.io/study-notes/ai-blogs/openclaw-memory-system-deep-dive.md): A comprehensive look at OpenClaw's file-first memory system, exploring its hybrid search architecture, automatic memory flush, and implementation details.
- [PagedAttention: How Virtual Memory Revolutionized LLM Inference](https://snowan.gitbook.io/study-notes/ai-blogs/paged-attention-explained.md): A deep dive into PagedAttention, the breakthrough memory management technique that enables efficient LLM serving. Learn how borrowing ideas from OS virtual memory solved the KV cache memory problem an
- [Pi: The Minimal Agent Philosophy — How Less Becomes More](https://snowan.gitbook.io/study-notes/ai-blogs/pi-minimal-agent-openclaw.md)
- [Speculative Decoding: How to Make LLMs 2-3x Faster Without Losing Quality](https://snowan.gitbook.io/study-notes/ai-blogs/speculative-decoding-explained.md): A comprehensive guide to speculative decoding, the technique that accelerates LLM inference by 2-3x while maintaining identical output quality. Learn how draft-then-verify works, the math behind accep
- [We're All Addicted To Claude Code](https://snowan.gitbook.io/study-notes/ai-blogs/we-are-all-addicted-to-claude-code.md)
- [infographic](https://snowan.gitbook.io/study-notes/ai-blogs/infographic.md)
- [anthropic-skills-guide](https://snowan.gitbook.io/study-notes/ai-blogs/infographic/anthropic-skills-guide.md)
- [Analysis: The Complete Guide to Building Skills for Claude](https://snowan.gitbook.io/study-notes/ai-blogs/infographic/anthropic-skills-guide/analysis.md)
- [Structured Content: Building Skills for Claude](https://snowan.gitbook.io/study-notes/ai-blogs/infographic/anthropic-skills-guide/structured-content.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai-blogs/infographic/anthropic-skills-guide/prompts.md)
- [infographic](https://snowan.gitbook.io/study-notes/ai-blogs/infographic/anthropic-skills-guide/prompts/infographic.md)
- [AI](https://snowan.gitbook.io/study-notes/ai.md)
- [AI-Resources](https://snowan.gitbook.io/study-notes/ai/ai-resources.md)
- [AI-books](https://snowan.gitbook.io/study-notes/ai/ai-books.md)
- [AI-article-analysis](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis.md)
- [Analysis: "2025: The Year in LLMs" by Simon Willison](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/2025-the-year-in-llms-simon-willison.md)
- [AI-trillion-dollar-opportunity-Context-graphs](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/ai-trillion-dollar-opportunity-context-graphs.md)
- [Steam-Steel-and-Infinite-Minds](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/steam-steel-and-infinite-minds.md)
- [Deep Analysis: Memory in the Age of AI Agents](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/memory-in-the-age-of-agent-survey.md)
- [prompt](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/prompt.md)
- [ai-agent-memory](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/ai-agent-memory.md)
- [Memory in AI Agents: A Deep Dive into Cognitive Architectures for LLMs](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/ai-agent-memory/ai-agent-memory-deep-dive.md)
- [AI Agent Memory Research - Sources](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/ai-agent-memory/sources.md)
- [context-engineering](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering.md)
- [Why Your AI Agent Needs a Filesystem (Not Just a Database)](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/blog-post.md)
- [How agents can use filesystems for context engineering](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/source.md)
- [xhs-images](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/xhs-images.md)
- [XHS Content Analysis](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/xhs-images/analysis.md)
- [Infographic Outline](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/xhs-images/outline.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/xhs-images/prompts.md)
- [02-problem](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/xhs-images/prompts/02-problem.md)
- [cover-image](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/cover-image.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/cover-image/prompts.md)
- [cover](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/context-engineering/cover-image/prompts/cover.md)
- [file-over-app](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/file-over-app.md)
- [File Over App: A Deep Analysis of Digital Longevity](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/file-over-app/file-over-app-analysis.md)
- [advanced-tool-use](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use.md)
- [comic](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic.md)
- [MAGMA: Building Memory for AI Agents](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/analysis.md)
- [Source](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/source-link.md)
- [Advanced Tool Use on the Claude Developer Platform](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/source.md)
- [Building MAGMA: Layer by Layer](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/storyboard-architectural.md)
- [Memory Squad: The Four Graph Heroes](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/storyboard-character-focused.md)
- [MAGMA: The Memory Revolution](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/storyboard-problem-solution.md)
- [Comic: Claude's Three Tool Superpowers](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/storyboard.md)
- [characters-architectural](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-architectural.md)
- [Character Definitions - Building MAGMA: Layer by Layer](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-architectural/characters.md)
- [characters-character-focused](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-character-focused.md)
- [Character Definitions - Memory Squad: The Four Graph Heroes](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-character-focused/characters.md)
- [characters-problem-solution](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-problem-solution.md)
- [Character Definitions - MAGMA: The Memory Revolution](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters-problem-solution/characters.md)
- [characters](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters.md)
- [Character Reference: Michi](https://snowan.gitbook.io/study-notes/ai/ai-article-analysis/advanced-tool-use/comic/characters/characters.md)
- [Prompts](https://snowan.gitbook.io/study-notes/ai/prompts.md)
- [Prompts Free Courses](https://snowan.gitbook.io/study-notes/ai/prompts/gpt-prompts.md)
- [claude-code](https://snowan.gitbook.io/study-notes/ai/claude-code.md)
- [10 Tips for Using Claude Code from Its Creator, Boris Cherny](https://snowan.gitbook.io/study-notes/ai/claude-code/boris-cherny-cc-tips.md)
- [skills-resource](https://snowan.gitbook.io/study-notes/ai/claude-code/skills-resource.md)
- [Top Available Skills](https://snowan.gitbook.io/study-notes/ai/claude-code/top-skills-share.md)
- [runbooks](https://snowan.gitbook.io/study-notes/ai/claude-code/runbooks.md)
- [VibeTunnel: Running Claude Code on iPhone](https://snowan.gitbook.io/study-notes/ai/claude-code/runbooks/vibetunnel-iphone-setup.md)
- [reports](https://snowan.gitbook.io/study-notes/ai/reports.md)
- [AI News Digest - January 25, 2026](https://snowan.gitbook.io/study-notes/ai/reports/ai_news_20260125.md)
- [AI News Scan Report](https://snowan.gitbook.io/study-notes/ai/reports/ai_news_report_20260123.md)
- [AI-manga-learnings](https://snowan.gitbook.io/study-notes/ai/ai-manga-learnings.md)
- [memory-in-the-age-of-ai-agent](https://snowan.gitbook.io/study-notes/ai/ai-manga-learnings/memory-in-the-age-of-ai-agent.md)
- [Memory in the Age of AI Agents: A Learning Series](https://snowan.gitbook.io/study-notes/ai/ai-manga-learnings/memory-in-the-age-of-ai-agent/learning-series.md)
- [ai-resources](https://snowan.gitbook.io/study-notes/ai/ai-resources-1.md)
- [AI-common](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/ai-common.md)
- [AI-trace-sot](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/ai-common/ai-trace-sot.md)
- [agent-design-patterns](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/ai-common/agent-design-patterns.md)
- [agent-memory](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/agent-memory.md)
- [LangSmith Agent Builder — Summary](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/agent-memory/langchain-agent-builder-memory.md)
- [claude-code](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/claude-code.md)
- [Claude Code Ultimate Resource Collection](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/claude-code/claude-code.md)
- [context-engineering](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/context-engineering.md)
- [Agent Context Engineering with File Systems](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/context-engineering/context-engineering-with-file-system.md)
- [Agent Context Engineering: The Definitive Guide (Top 30 Resources)](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/context-engineering/context-engineering.md)
- [evals](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/evals.md)
- [Demystifying Evals for AI Agents](https://snowan.gitbook.io/study-notes/ai/ai-resources-1/evals/anthropic-demisfy-ai-evals.md)
- [kuma-ai-agents](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents.md)
- [Kuma AI Travel Agent](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents/kuma-ai-travel-agent.md)
- [Kuma AI Travel Agent](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents/kuma-ai-travel-agent/travel_ai_agent.md)
- [michi\_ai\_bot - Telegram Integration for Claude Code](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents/michi-telegram-bot.md)
- [Refactoring Summary: Direct Claude Code Integration](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents/michi-telegram-bot/refactoring_summary.md)
- [Testing Guide](https://snowan.gitbook.io/study-notes/ai/kuma-ai-agents/michi-telegram-bot/testing.md)
- [Movies](https://snowan.gitbook.io/study-notes/entertainment.md)
- [2024](https://snowan.gitbook.io/study-notes/entertainment/animes.md)
- [2024](https://snowan.gitbook.io/study-notes/entertainment/movies.md)
- [2024](https://snowan.gitbook.io/study-notes/entertainment/tv-shows.md)
- [Google](https://snowan.gitbook.io/study-notes/google.md)
- [chunked-palindrome](https://snowan.gitbook.io/study-notes/google/chunked-palindrome-cn.md)
- [Setup](https://snowan.gitbook.io/study-notes/setup.md)
- [How to add a new user into Ubuntu and setup ssh key?](https://snowan.gitbook.io/study-notes/setup/create-new-user-with-password-and-setup-ssh-key-remote-login.md)
- [How to set up VSCode remote server connect with browser with Docker](https://snowan.gitbook.io/study-notes/setup/linux-vscode-server-docker-setup.md)
- [kubernetes](https://snowan.gitbook.io/study-notes/kubernetes.md)
- [.claude](https://snowan.gitbook.io/study-notes/.claude.md)
- [agents](https://snowan.gitbook.io/study-notes/.claude/agents.md)
- [Technical Debt Manager](https://snowan.gitbook.io/study-notes/.claude/agents/technical-debt-manager.md): Expert technical debt analyst for code health, maintainability, and strategic refactoring planning. Use PROACTIVELY when codebase shows complexity growth, when planning sprints, or when prioritizing e
- [AI-manga-learnings](https://snowan.gitbook.io/study-notes/ai-manga-learnings.md)
- [agentic-memory](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory.md)
- [Agentic Memory (AgeMem)](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/agentic-memory.md)
- [source-link](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/source-link.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts.md)
- [01-memory-problem](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/01-memory-problem.md)
- [02-current-solutions](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/02-current-solutions.md)
- [03-agemem-solution](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/03-agemem-solution.md)
- [04-training-strategy](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/04-training-strategy.md)
- [05-stepwise-grpo](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/05-stepwise-grpo.md)
- [06-architecture](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/06-architecture.md)
- [07-results](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/07-results.md)
- [08-implications](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agentic-memory/prompts/08-implications.md)
- [agents-reliability](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agents-reliability.md)
- [The State of Agents: The Reliability Gap](https://snowan.gitbook.io/study-notes/ai-manga-learnings/agents-reliability/agents-reliability.md)
- [anthropic-postmortem-bugs](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs.md)
- [Content Analysis: Anthropic Postmortem](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/analysis.md)
- [A Postmortem of Three Recent Issues](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/anthropic-postmortem-bugs.md)
- [A Postmortem of Three Recent Issues](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/source-anthropic-postmortem.md)
- [Storyboard: A Postmortem of Three Recent Issues](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/storyboard.md)
- [characters](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/characters.md)
- [Character Definitions: Anthropic Postmortem](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/characters/characters.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts.md)
- [Cover Page Prompt](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/00-cover-postmortem.md)
- [Page 1: The Scale of Claude](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/01-page-scale.md)
- [Page 2: The First Signs](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/02-page-first-signs.md)
- [Page 3: The Three Bugs Revealed](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/03-page-three-bugs.md)
- [Page 4: The Timeline](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/04-page-timeline.md)
- [Page 5: The Deep Dive - Precision Bug](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/05-page-precision.md)
- [Page 6: The Frustrating Hunt](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/06-page-hunt.md)
- [Page 7: The Resolution](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/07-page-resolution.md)
- [Page 8: Lessons Learned](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/08-page-lessons.md)
- [Page 9: The Commitment](https://snowan.gitbook.io/study-notes/ai-manga-learnings/anthropic-postmortem-bugs/prompts/09-page-commitment.md)
- [future-of-enterprise-software](https://snowan.gitbook.io/study-notes/ai-manga-learnings/future-of-enterprise-software.md)
- [The Future of Enterprise Software](https://snowan.gitbook.io/study-notes/ai-manga-learnings/future-of-enterprise-software/future-of-enterprise-software.md)
- [magma-agentic-memory](https://snowan.gitbook.io/study-notes/ai-manga-learnings/magma-agentic-memory.md)
- [Michi Cat Explains MAGMA: AI Memory Magic](https://snowan.gitbook.io/study-notes/ai-manga-learnings/magma-agentic-memory/magma-agentic-memory.md)
- [MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents](https://snowan.gitbook.io/study-notes/ai-manga-learnings/magma-agentic-memory/source-link.md)
- [openai-data-agent](https://snowan.gitbook.io/study-notes/ai-manga-learnings/openai-data-agent.md)
- [Inside OpenAI’s in-house data agent](https://snowan.gitbook.io/study-notes/ai-manga-learnings/openai-data-agent/openai-data-agent.md)
- [panjiu-al128-supernode](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode.md)
- [Analysis: Alibaba Cloud Panjiu AL128 Supernode AI Servers](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/analysis.md)
- [In-depth Analysis of Alibaba Cloud Panjiu AL128 Supernode AI Servers](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/panjiu-al128-supernode.md)
- [The Supernode Revolution - Knowledge Comic Storyboard](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/storyboard.md)
- [characters](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/characters.md)
- [Character Definitions - Panjiu Supernode Adventure](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/characters/characters.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts.md)
- [Cover: The Supernode Revolution](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/00-cover-supernode.md)
- [Page 1: The Growing Challenge](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/01-page-problem.md)
- [Page 2: Meet the AL128 Supernode](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/02-page-supernode.md)
- [Page 3: ScaleUp Interconnection](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/03-page-scaleup.md)
- [Page 4: Three-Layer Architecture](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/04-page-layers.md)
- [Page 5: Future Directions](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/05-page-future.md)
- [Page 6: Conclusion](https://snowan.gitbook.io/study-notes/ai-manga-learnings/panjiu-al128-supernode/prompts/06-page-conclusion.md)
- [scaling-agents](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents.md)
- [Content Analysis - Scaling Long-Running Autonomous Coding](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/analysis.md)
- [The Agent Orchestra: Scaling Autonomous Coding](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/scaling-agents.md)
- [Scaling long-running autonomous coding](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/source-scaling-agents.md)
- [The Agent Orchestra - Knowledge Comic Storyboard](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/storyboard.md)
- [characters](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/characters.md)
- [Character Definitions - The Agent Orchestra](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/characters/characters.md)
- [prompts](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts.md)
- [00-cover-agent-orchestra](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/00-cover-agent-orchestra.md)
- [01-page-single-agent](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/01-page-single-agent.md)
- [02-page-lock-chaos](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/02-page-lock-chaos.md)
- [03-page-risk-averse](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/03-page-risk-averse.md)
- [04-page-breakthrough](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/04-page-breakthrough.md)
- [05-page-running-weeks](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/05-page-running-weeks.md)
- [06-page-showcase](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/06-page-showcase.md)
- [07-page-lessons](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/07-page-lessons.md)
- [08-page-future](https://snowan.gitbook.io/study-notes/ai-manga-learnings/scaling-agents/prompts/08-page-future.md)
- [secure-codebase-indexing](https://snowan.gitbook.io/study-notes/ai-manga-learnings/secure-codebase-indexing.md)
- [Securely indexing large codebases](https://snowan.gitbook.io/study-notes/ai-manga-learnings/secure-codebase-indexing/secure-codebase-indexing.md)
- [simplemem-lifelong-memory](https://snowan.gitbook.io/study-notes/ai-manga-learnings/simplemem-lifelong-memory.md)
- [SimpleMem: Efficient Lifelong Memory for LLM Agents](https://snowan.gitbook.io/study-notes/ai-manga-learnings/simplemem-lifelong-memory/storyboard.md)
- [AI-slide-learnings](https://snowan.gitbook.io/study-notes/ai-slide-learnings.md)
- [context-graphs-trillion-dollar](https://snowan.gitbook.io/study-notes/ai-slide-learnings/context-graphs-trillion-dollar.md)
- [AI's Trillion-Dollar Opportunity: Context Graphs](https://snowan.gitbook.io/study-notes/ai-slide-learnings/context-graphs-trillion-dollar/context-graph-manga-learning.md)
- [prompt-repetition-llms](https://snowan.gitbook.io/study-notes/ai-slide-learnings/prompt-repetition-llms.md)
- [Prompt Repetition Improves Non-Reasoning LLMs](https://snowan.gitbook.io/study-notes/ai-slide-learnings/prompt-repetition-llms/prompt-repetition-llms.md)
- [source-link](https://snowan.gitbook.io/study-notes/ai-slide-learnings/prompt-repetition-llms/source-link.md)
- [Books](https://snowan.gitbook.io/study-notes/books.md)
- [Designing-Data-Intensive-Applications](https://snowan.gitbook.io/study-notes/books/designing-data-intensive-applications.md)
- [第一章 — 可靠性，可扩展性，可维护性的应用程序(Reliable, Scalable, and Maintainable Applications)](https://snowan.gitbook.io/study-notes/books/designing-data-intensive-applications/chapter1-reliability-scalability-maintainability-applications.md)
- [System-Performance](https://snowan.gitbook.io/study-notes/books/system-performance.md)
- [Chapter1](https://snowan.gitbook.io/study-notes/books/system-performance/chapter1.md)
- [Chapter 2: Methodologies](https://snowan.gitbook.io/study-notes/books/system-performance/chapter2-methodologies.md)
- [Languages](https://snowan.gitbook.io/study-notes/languages.md)
- [japanese](https://snowan.gitbook.io/study-notes/languages/japanese.md)
- [japanese-week](https://snowan.gitbook.io/study-notes/languages/japanese/japanese-week.md)
- [Leetcode](https://snowan.gitbook.io/study-notes/leetcode.md)
- [30DayChallenge](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge.md)
- [LRU-cache](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/lru-cache.md)
- [backspace-string-compare](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/backspace-string-compare.md)
- [binary-tree-maximum-path-sum](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/binary-tree-maximum-path-sum.md)
- [bitwise-and-number-range](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/bitwise-and-number-range.md)
- [check-string-valid-sequence-from-root-to-leaves-path-in-bst](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/check-string-valid-sequence-from-root-to-leaves-path-in-bst.md)
- [construct-binary-search-tree-from-preorder-traversal](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/construct-binary-search-tree-from-preorder-traversal.md)
- [contiguous-array](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/contiguous-array.md)
- [counting-elements](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/counting-elements.md)
- [diameter-of-binary-tree](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/diameter-of-binary-tree.md)
- [first-unique-number](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/first-unique-number.md)
- [group-anagrams](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/group-anagrams.md)
- [jump-game](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/jump-game.md)
- [last-stone-weight](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/last-stone-weight.md)
- [leftmost-column-with-at-least-a-one](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/leftmost-column-with-at-least-a-one.md)
- [longest-common-subsequect](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/longest-common-subsequect.md)
- [maximal-square](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/maximal-square.md)
- [maximum-subarray](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/maximum-subarray.md)
- [middle-of-the-linked-list](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/middle-of-the-linked-list.md)
- [min-stack](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/min-stack.md)
- [minimun-path-sum](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/minimun-path-sum.md)
- [move-zeroes](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/move-zeroes.md)
- [perform-string-shifts](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/perform-string-shifts.md)
- [product-of-array-except-itself](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/product-of-array-except-itself.md)
- [search-in-rotated-sorted-array](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/search-in-rotated-sorted-array.md)
- [subarray-sum-equals-k](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/subarray-sum-equals-k.md)
- [valid-parenthesis-string](https://snowan.gitbook.io/study-notes/leetcode/30daychallenge/valid-parenthesis-string.md)
- [English Solution](https://snowan.gitbook.io/study-notes/leetcode/english-solution.md)
- [1168.optimize-water-distribution-in-a-village-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/1168.optimize-water-distribution-in-a-village-en.md)
- [1171.remove-zero-sum-consecutive-nodes-from-linked-list-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/1171.remove-zero-sum-consecutive-nodes-from-linked-list-en.md)
- [1177.can-make-palindrome-from-substring-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/1177.can-make-palindrome-from-substring-en.md)
- [1343.number-of-avg-subarr-sizek-greater-or-equal-threshold](https://snowan.gitbook.io/study-notes/leetcode/english-solution/1343.number-of-avg-subarr-sizek-greater-or-equal-threshold.md)
- [1345.jump-game-iv](https://snowan.gitbook.io/study-notes/leetcode/english-solution/1345.jump-game-iv.md)
- [25.reverse-nodes-in-k-groups-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/25.reverse-nodes-in-k-groups-en.md)
- [474.ones-and-zeros-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/474.ones-and-zeros-en.md)
- [53.maximum-sum-subarray-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/53.maximum-sum-subarray-en.md)
- [547.friend-circles-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/547.friend-circles-en.md)
- [79.word-search-en](https://snowan.gitbook.io/study-notes/leetcode/english-solution/79.word-search-en.md)
- [May2020Challenge](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge.md)
- [check-if-straight-line](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/check-if-straight-line.md)
- [cousins-in-binary-tree](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/cousins-in-binary-tree.md)
- [find-town-judge](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/find-town-judge.md)
- [first-bad-version](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/first-bad-version.md)
- [first-unique-character-in-a-string](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/first-unique-character-in-a-string.md)
- [flood-fill](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/flood-fill.md)
- [implement-trie](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/implement-trie.md)
- [jewels-and-stones](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/jewels-and-stones.md)
- [majority-element](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/majority-element.md)
- [maximum-sum-circular-subarray](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/maximum-sum-circular-subarray.md)
- [number-complement](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/number-complement.md)
- [odd-even-linkedlist](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/odd-even-linkedlist.md)
- [ransom-note](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/ransom-note.md)
- [remove-k-digits](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/remove-k-digits.md)
- [single-element-in-sorted-array](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/single-element-in-sorted-array.md)
- [valid-perfect-square](https://snowan.gitbook.io/study-notes/leetcode/may2020challenge/valid-perfect-square.md)
- [python](https://snowan.gitbook.io/study-notes/leetcode/python.md)
- [000017-Letter-Combinations-of-a-Phone-Number](https://snowan.gitbook.io/study-notes/leetcode/python/000017-letter-combinations-of-a-phone-number.md)
- [000032-Longest-Valid-Parentheses](https://snowan.gitbook.io/study-notes/leetcode/python/000032-longest-valid-parentheses.md)
- [000033-Search-in-Rotated-Sorted-Array](https://snowan.gitbook.io/study-notes/leetcode/python/000033-search-in-rotated-sorted-array.md)
- [000046-Permutations](https://snowan.gitbook.io/study-notes/leetcode/python/000046-permutations.md)
- [000074-Search-a-2D-Matrix](https://snowan.gitbook.io/study-notes/leetcode/python/000074-search-a-2d-matrix.md)
- [000077-Combinations](https://snowan.gitbook.io/study-notes/leetcode/python/000077-combinations.md)
- [000081-Search-in-Rotated-Sorted-Array-II](https://snowan.gitbook.io/study-notes/leetcode/python/000081-search-in-rotated-sorted-array-ii.md)
- [000137-single-number-ii](https://snowan.gitbook.io/study-notes/leetcode/python/000137-single-number-ii.md)
- [000139-Word-Break](https://snowan.gitbook.io/study-notes/leetcode/python/000139-word-break.md)
- [000207-courses-schedule](https://snowan.gitbook.io/study-notes/leetcode/python/000207-courses-schedule.md)
- [000209-Minimum-Size-Subarray-Sum](https://snowan.gitbook.io/study-notes/leetcode/python/000209-minimum-size-subarray-sum.md)
- [000376-wiggle-subsequence](https://snowan.gitbook.io/study-notes/leetcode/python/000376-wiggle-subsequence.md)
- [000445-Add-Two-Numbers-II](https://snowan.gitbook.io/study-notes/leetcode/python/000445-add-two-numbers-ii.md)
- [000486-Predict-the-Winner](https://snowan.gitbook.io/study-notes/leetcode/python/000486-predict-the-winner.md)
- [000518-Coin-Change-II](https://snowan.gitbook.io/study-notes/leetcode/python/000518-coin-change-ii.md)
- [000673-Number-of-Longest-Increasing-Subsequence](https://snowan.gitbook.io/study-notes/leetcode/python/000673-number-of-longest-increasing-subsequence.md)
- [000688-Knight-Probability-in-Chessboard](https://snowan.gitbook.io/study-notes/leetcode/python/000688-knight-probability-in-chessboard.md)
- [000735-Asteroid-Collision](https://snowan.gitbook.io/study-notes/leetcode/python/000735-asteroid-collision.md)
- [000852-Peak-Index-in-a-Mountain-Array](https://snowan.gitbook.io/study-notes/leetcode/python/000852-peak-index-in-a-mountain-array.md)
- [859-Buddy-Strings](https://snowan.gitbook.io/study-notes/leetcode/python/000859-buddy-strings.md)
- [000864-Shortest-Path-to-Get-All-Keys](https://snowan.gitbook.io/study-notes/leetcode/python/000864-shortest-path-to-get-all-keys.md)
- [000920-Number-of-Music-Playlists](https://snowan.gitbook.io/study-notes/leetcode/python/000920-number-of-music-playlists.md)
- [001218-Longest-Arithmetic-Subsequence-of-Given-Difference](https://snowan.gitbook.io/study-notes/leetcode/python/001218-longest-arithmetic-subsequence-of-given-difference.md)
- [001235-Maximum-Profit-in-Job-Scheduling](https://snowan.gitbook.io/study-notes/leetcode/python/001235-maximum-profit-in-job-scheduling.md)
- [001493-Longest-Subarray-of 1-After-Deleting-One-Element](https://snowan.gitbook.io/study-notes/leetcode/python/001493-longest-subarray-of-1-after-deleting-one-element.md)
- [Problem](https://snowan.gitbook.io/study-notes/leetcode/python/001514-path-with-maximum-probability.md)
- [002024-Maximize-the-Confusion-of-an-Exam](https://snowan.gitbook.io/study-notes/leetcode/python/002024-maximize-the-confusion-of-an-exam.md)
- [2305-Fair-Distribution-of-Cookies](https://snowan.gitbook.io/study-notes/leetcode/python/002305-fair-distribution-of-cookies.md)
- [002616-Minimize-the-Maximum-Difference-of-Pairs](https://snowan.gitbook.io/study-notes/leetcode/python/002616-minimize-the-maximum-difference-of-pairs.md)
- [00802-Find-Eventual-Safe-States](https://snowan.gitbook.io/study-notes/leetcode/python/00802-find-eventual-safe-states.md)
- [中文版解题](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti.md)
- [1147.longest-chunked-palindrome-decomposition-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/1147.longest-chunked-palindrome-decomposition-cn.md)
- [1168.optimize-water-distribution-in-a-village-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/1168.optimize-water-distribution-in-a-village-cn.md)
- [1171.remove-zero-sum-consecutive-nodes-from-linked-list-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/1171.remove-zero-sum-consecutive-nodes-from-linked-list-cn.md)
- [1177.can-make-palindrome-from-substring-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/1177.can-make-palindrome-from-substring-cn.md)
- [215.kth-largest-element-in-an-array-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/215.kth-largest-element-in-an-array-cn.md)
- [25.reverse-nodes-in-k-groups-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/25.reverse-nodes-in-k-groups-cn.md)
- [30.substring-with-concatenation-of-all-words-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/30.substring-with-concatenation-of-all-words-cn.md)
- [4.median-of-two-sorted-array-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/4.median-of-two-sorted-array-cn.md)
- [460.LFU-cache-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/460.lfu-cache-cn.md)
- [474.ones-and-zeros-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/474.ones-and-zeros-cn.md)
- [53.maximum-sum-subarray-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/53.maximum-sum-subarray-cn.md)
- [79.word-search-cn](https://snowan.gitbook.io/study-notes/leetcode/zhong-wen-ban-jie-ti/79.word-search-cn.md)
- [Readings](https://snowan.gitbook.io/study-notes/readings.md)
- [2020](https://snowan.gitbook.io/study-notes/readings/2020.md)
- [Design-Data-Intensive-Application](https://snowan.gitbook.io/study-notes/readings/2020/design-data-intensive-application.md)
- [亲爱的提奥](https://snowan.gitbook.io/study-notes/readings/2020/qin-ai-de-ti-ao.md)
- [理想国](https://snowan.gitbook.io/study-notes/readings/2020/li-xiang-guo.md)
- [贫穷的本质](https://snowan.gitbook.io/study-notes/readings/2020/pin-qiong-de-ben-zhi.md)
- [docs](https://snowan.gitbook.io/study-notes/docs.md)
- [tasks](https://snowan.gitbook.io/study-notes/docs/tasks.md)
- [Technical Debt Remediation Tracker](https://snowan.gitbook.io/study-notes/docs/tasks/tech-debt-remediation.md)
- [technical-debt](https://snowan.gitbook.io/study-notes/docs/technical-debt.md)
- [Technical Debt Audit - 2026-02-07](https://snowan.gitbook.io/study-notes/docs/technical-debt/audit-2026-02-07.md)
- [travels](https://snowan.gitbook.io/study-notes/travels.md)
- [2025](https://snowan.gitbook.io/study-notes/travels/2025.md)
- [japan-taiwan](https://snowan.gitbook.io/study-notes/travels/2025/japan-taiwan.md)
- [travel-journal](https://snowan.gitbook.io/study-notes/travels/2025/japan-taiwan/travel-journal.md)