{R}R 開発ノート
合計 15 件の記事が見つかりました。
Frictionless SaaS, Chapter 23: Pattern Libraries and Proven Approaches
Frameworks are nice. Patterns are what you actually ship. A teaser for Chapter 23 of Frictionless SaaS, introducing the Fast Activation Pattern Library, the Frictionless Onboarding Catalog, and a set of high-performing product patterns borrowed from the SaaS companies that get activation right.
2026-04-13
Chapter 22: Identity in AI Systems — When the "User" Is an Agent
Chapter 22 of the OpenID: Modern Identity series — identity for AI systems: LLM authentication, the Model Context Protocol (MCP), Dynamic Client Registration for ephemeral agents, and the emerging patterns for trusting autonomous non-human actors.
2026-03-28
Chapter 21: Decentralized Identity — DIDs, Verifiable Credentials, and OID4VC
Chapter 21 of the OpenID: Modern Identity series — decentralized identity: DIDs (Decentralized Identifiers) without a central authority, Verifiable Credentials with selective disclosure, and OpenID for Verifiable Credentials (OID4VC) as the bridge from centralized to decentralized identity.
2026-03-27
OpenClaw Engineering, Chapter 7: The Skill Ecosystem
Bundled skills vs workspace skills, skill discovery and context, publishing to ClawHub, managing 13,000+ community skills without collision, semantic search, and the meta-skills that let agents improve themselves.
2026-03-22
Chapter 20 – The Next Decade of AI Coworkers
Chapter 20 of Master Claude Chat, Cowork and Code looks ahead — from conversational AI to embedded infrastructure, from chat interfaces to computer use, and the trust and responsibility questions that will define how AI reshapes work over the next decade.
2026-03-20
OpenClaw Engineering, Chapter 2: Anatomy of the Agent Brain
How OpenClaw agents think through their identity files, two-layer memory system, and proactive task scheduling. A deep dive into SOUL.md, AGENTS.md, USER.md, MEMORY.md, HEARTBEAT.md, and semantic memory via Supermemory.
2026-03-17
OpenClaw Engineering, Chapter 1: The OpenClaw Paradigm
The first chapter teaser in a new series on OpenClaw Engineering. Why autonomous agents need a different foundation, the four-layer architecture (Gateway, Nodes, Channels, Skills), and the three principles that hold it all together.
2026-03-16
Chapter 5: Rapid Prototyping with Artifacts — From Conversation to Live Application
Chapter 5 of Master Claude Chat, Cowork and Code explores how Claude Artifacts collapse the feedback loop between idea and execution — turning conversations into live, interactive applications in seconds.
2026-03-06
OpenID: Modern Identity for Developers and Architects — A 22-Part Blog Series
Introduction and index for the 22-part blog series based on OpenID: Modern Identity for Developers and Architects by Sho Shimoda — with links to every chapter from Why Identity Is Hard through Identity in AI Systems.
2026-03-06
Master Claude, Chapter 2: The Three Pillars of Claude — Chat, Cowork, and Code
Claude is not one product — it is three. Chat for reasoning, Cowork for desktop automation, Code for terminal-based development. Chapter 2 of Master Claude Chat, Cowork and Code explains the architecture of each and the decision framework for choosing the right one.
2026-03-03
Master Claude, Chapter 1: The Evolution of Large Language Models — From Markov Chains to Context Engineering
Chapter 1 of Master Claude Chat, Cowork and Code traces the journey from statistical text prediction to reasoning engines — and explains why context engineering, not bigger models, is where the next leap in AI productivity comes from.
2026-03-02
Master Claude Chat, Cowork and Code – The Complete Blog Series
The complete index for the Master Claude Chat, Cowork and Code blog series — 20 chapter teasers covering everything from prompting fundamentals to multi-agent architectures, security governance, and the future of AI-powered work.
2026-03-01
Art of Coding, Chapter 12: Version Control as a Storytelling Tool
Git is not just a backup system—it's a narrative tool. How clean commits and thoughtful branching strategies turn version control into a form of storytelling.
2026-01-08
Chapter 2 — The Computational Model
An introduction to the computational model behind numerical linear algebra. Explains why mathematical algorithms fail inside real computers, how floating-point arithmetic shapes computation, and why understanding precision, rounding, overflow, and memory layout is essential for AI, ML, and scientific computing.
2025-09-07
1.4 A Brief Tour of Real-World Failures
A clear, accessible tour of real-world numerical failures in AI, ML, optimization, and simulation—showing how mathematically correct algorithms break inside real computers, and preparing the reader for Chapter 2 on floating-point reality.
2025-09-06
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