{R}R 開発ノート

合計 69 件の記事が見つかりました。

The Engineering of Intent, Chapter 8: The Four Pillars of AI Architecture

Chapter 8 of The Engineering of Intent blog series. Every durable AI-native project has the same four pillars — Vibes, Specs, Skills, and Agents — and most teams over-invest in one and neglect the rest. A teaser on the pillars, the healthy cycle, and the rebalancing that cut a company's regression rate by 80%.
2026-04-24

The Engineering of Intent, Chapter 7: The GenDD Execution Loop

Chapter 7 of The Engineering of Intent blog series. Generative-Driven Development replaces your ceremony set with a fractal five-step loop: Context, Plan, Confirm, Execute, Validate. A teaser on each step, what goes wrong when it's skipped, and the payments team that cut one-hour cycles down to ten minutes.
2026-04-23

The Engineering of Intent, Chapter 3: Context Momentum and Path Dependence

Chapter 3 of The Engineering of Intent blog series. Agents amplify project momentum — good patterns propagate, bad ones propagate just as fast. A teaser on the First Prompt Trap, context rot, the physics of convention drift, and the ten-thousand-dollar rule for decision rigor.
2026-04-19

Frictionless SaaS, Chapter 22: AI, Automation, and the Future of Frictionless Design

In the AI era, features are commoditized overnight. So what actually becomes defensible? A teaser for Chapter 22 of Frictionless SaaS, covering the AI-Era SaaS Framework and the Experience Moat — the only lasting competitive advantage left.
2026-04-12

Frictionless SaaS, Chapter 18: Building Knowledge Into Your Product

The Zero-Support Design Model, Contextual Help Architecture, and four AI Assistant Design Patterns that turn your product into its own best documentation.
2026-04-08

Frictionless SaaS, Chapter 17: Self-Serve Onboarding and Setup

Why self-serve setup converts 2-3x better than assisted onboarding, and the Progressive Setup Pattern and Smart Defaults Strategy that make complex products feel simple.
2026-04-07

Frictionless SaaS Chapter 15: Continuous Optimization and the Data-Intuition Balance

Chapter 15 preview of Frictionless SaaS: the Experiment-Learn-Ship cycle, the Data-Intuition Balance, staged rollouts, and the retention operating model that turns improvement into a flywheel.
2026-04-05

Frictionless SaaS Chapter 12: Detecting Disengagement and Structured Win-Back

Chapter 12 preview of Frictionless SaaS: the Disengagement Detection System, the four-touch Win-Back Sequence, and why value rediscovery beats discount offers every time.
2026-04-02

Frictionless SaaS Chapter 9: Eliminating Friction and Building Consistency

Chapter 9 preview of Frictionless SaaS: the Friction Audit Matrix, the Consistency Principle, perceived speed, and information ergonomics - the retention levers most teams ignore.
2026-03-30

Frictionless SaaS, Chapter 8: Designing for Habit - Why Retention Is Your Real Growth Engine

Chapter 8 of the Frictionless SaaS blog series. Retention is the multiplier on every dollar of acquisition you'll ever spend. The Habit Loop Engine, the Return Reason Architecture, and the DAU/WAU signals that tell you whether you're building a habit or a one-night stand.
2026-03-29

Chapter 17: Federation Between Organizations — Identity Across Corporate Boundaries

Chapter 17 of the OpenID: Modern Identity series — federation between organizations: B2B identity, partner federation with metadata exchange and claim mapping, and the trust chains that emerge when federation goes multi-hop.
2026-03-23

Frictionless SaaS, Chapter 1: Silent Churn — The Users Who Leave Without Complaining

Chapter 1 of the Frictionless SaaS blog series. Silent churn is the most dangerous kind of churn — users who sign up, disappear, and never tell you why. A look at the Silent Churn Pattern and the Activation Gap.
2026-03-22

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

OpenClaw Engineering, Chapter 6: Extending Capabilities with SKILL.md

The anatomy of SKILL.md files in OpenClaw: how to author reusable, versioned instruction sets with YAML frontmatter, dependencies, and explicit procedural guidance for agents.
2026-03-21

Frictionless SaaS, Part 0: How Users Actually Find, Judge, and Try Your Product

Kicking off a blog series based on the book "Frictionless SaaS." This first post introduces Chapters 0.1 through 0.3 — Discovery, the Landing Page, and Freemium & Entry Points — the three friction points every user hits before they ever sign up.
2026-03-21

Chapter 14: Hardening Your Identity Stack — Setting the Defaults That Keep You Safe

Chapter 14 of the OpenID: Modern Identity series — hardening defaults that neutralize common attacks: strict redirect URI matching, audience validation to solve the confused deputy problem, token lifetime tuning, and refresh token binding, rotation, and revocation.
2026-03-20

OpenClaw Engineering, Chapter 5: Connecting Multiple Channels

How to connect your OpenClaw agent to multiple messaging platforms (Telegram, WhatsApp, Discord, Slack) and manage multi-channel routing. Setup, configuration quirks, and troubleshooting for each platform.
2026-03-20

Chapter 12: User Lifecycle Management — Provisioning, SCIM, and the De-Provisioning Problem

Chapter 12 of the OpenID: Modern Identity series — user lifecycle management: JIT and bulk provisioning, SCIM for cross-system sync, de-provisioning done right, role mapping from IdP claims, and identity architecture for multi-tenant SaaS.
2026-03-18

Chapter 11: MFA and Conditional Access — Dispersing Authentication Risk

Chapter 11 of the OpenID: Modern Identity series — MFA fundamentals across the three factor categories, risk-based adaptive authentication, and step-up authentication using the OIDC acr and amr claims to match assurance to operation sensitivity.
2026-03-17

Chapter 10: Single Sign-On at Scale — Identity as Infrastructure

Chapter 10 of the OpenID: Modern Identity series — running identity at organizational scale: corporate IdPs (AD, Entra ID), the CIAM vendor ecosystem (Okta, Auth0, Entra ID), multi-tenant isolation, account linking, and external user access.
2026-03-16

Chapter 8: Securing Backend APIs — Bearer Tokens, Scopes, and Service-to-Service

Chapter 8 of the OpenID: Modern Identity series — securing backend APIs with bearer tokens, scope design for least privilege, token introspection versus local JWT validation, and the three mechanisms for service-to-service authentication.
2026-03-14

Chapter 6: Discovery and Metadata — How Clients and Providers Find Each Other

Chapter 6 of the OpenID: Modern Identity series — how OIDC discovery, .well-known/openid-configuration, JWKS, and Dynamic Client Registration allow clients and providers to find each other without hand-crafted configuration.
2026-03-12

Chapter 5: Tokens in Depth — What's Actually in That JWT

Chapter 5 of the OpenID: Modern Identity series — what's really inside an ID Token, Access Token, and Refresh Token, how JWTs are structured, how to validate signatures correctly, and how DPoP and mTLS bind tokens to their legitimate holders.
2026-03-11

Chapter 3: Core Concepts — The Vocabulary of OpenID Connect

Chapter 3 of the OpenID: Modern Identity series — the IdP/RP/user triangle, claims and JWTs, the three OIDC token types, consent and scopes, sessions vs tokens, and the boundary between authentication and authorization.
2026-03-09

Chapter 8: Scheduled Tasks and Autonomous Execution — Making Claude Work While You Sleep

Chapter 8 of Master Claude Chat, Cowork and Code covers scheduled automation with Claude Cowork — cron-based recurring workflows, sleep/connectivity handling, error strategies, and applying GTD principles to AI task automation.
2026-03-09

Chapter 2: From OpenID to OpenID Connect — How the Industry Got This One Right

Chapter 2 of the OpenID: Modern Identity series — tracing how the industry moved from the original OpenID and SAML through OAuth 2.0 to OpenID Connect, and when to reach for each standard.
2026-03-08

Chapter 1: Why Identity Is Hard — The Trust Problem Behind Every Login

Chapter 1 of the OpenID: Modern Identity book series — why identity is a trust problem first and a technology problem second, and why authentication and authorization must never be conflated.
2026-03-07

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

Art of Coding, Chapter 8: Performance without Sacrificing Clarity

Chasing speed too early blinds you to real bottlenecks. Clarity first, measurement second, optimization third—that's the order.
2026-01-02

Art of Coding, Chapter 7: Error Handling and Resilience

Designing for failure, not avoiding it. How graceful error handling, clear logging, and balanced defense build systems that endure.
2026-01-01

Art of Coding, Chapter 6: Abstraction and Modularity

Drawing boundaries that make systems stronger. How to abstract without over-engineering, and design interfaces that last.
2025-12-31

Art of Coding, Chapter 2: The Philosophy of Clean Code

Clean code is a philosophy, not a rulebook. Explore simplicity vs. cleverness, expressiveness as communication, and code as a form of writing.
2025-12-25

Art of Coding, Chapter 1: Code That Speaks

Chapter 1 of the Art of Coding series. Why beauty in code is not decoration but survival — clarity, empathy, efficiency, and what separates code that works from code that lasts. Plus: what AI-generated code means for craftsmanship.
2025-12-24

8.1 Power Method and Inverse Iteration

A clear, practical, and intuitive explanation of the power method and inverse iteration for computing eigenvalues. Covers dominance, repeated multiplication, shifted inverse iteration, and real applications in ML, PCA, and large-scale systems. Smoothly introduces the Rayleigh quotient.
2025-10-07

7.4 Why QR Is Often Preferred

An in-depth, accessible explanation of why QR decomposition is the preferred method for solving least squares problems and ensuring numerical stability. Covers orthogonality, rank deficiency, Householder reflections, and the broader role of QR in scientific computing, with a smooth transition into eigenvalues and eigenvectors.
2025-10-05

7.1 Gram–Schmidt and Modified GS

A clear, practical, book-length explanation of Gram–Schmidt and Modified Gram–Schmidt, why classical GS fails in floating-point arithmetic, how MGS improves stability, and why real numerical systems eventually rely on Householder reflections. Ideal for ML engineers, data scientists, and numerical computing practitioners.
2025-10-02

Chapter 7 — QR Decomposition

A deep, intuitive introduction to QR decomposition, explaining why orthogonality and numerical stability make QR essential for least squares, regression, kernel methods, and large-scale computation. Covers Gram–Schmidt, Modified GS, Householder reflections, and why QR is often preferred over LU and normal equations.
2025-10-01

6.3 Applications in ML, Statistics, and Kernel Methods

A deep, intuitive explanation of how Cholesky decomposition powers real machine learning and statistical systems—from Gaussian processes and Bayesian inference to kernel methods, Kalman filters, covariance modeling, and quadratic optimization. Understand why Cholesky is essential for stability, speed, and large-scale computation.
2025-09-30

6.2 Memory Advantages

A detailed, intuitive explanation of why Cholesky decomposition uses half the memory of LU decomposition, how memory locality accelerates computation, and why this efficiency makes Cholesky essential for large-scale machine learning, kernel methods, and statistical modeling.
2025-09-29

6.1 SPD Matrices and Why They Matter

A deep, intuitive explanation of symmetric positive definite (SPD) matrices and why they are essential in machine learning, statistics, optimization, and numerical computation. Covers geometry, stability, covariance, kernels, Hessians, and how SPD structure enables efficient Cholesky decomposition.
2025-09-28

Chapter 6 — Cholesky Decomposition

A deep, narrative-driven introduction to Cholesky decomposition explaining why symmetric positive definite matrices dominate real computation. Covers structure, stability, performance, and the role of Cholesky in ML, statistics, and optimization.
2025-09-27

5.4 Practical Examples

Hands-on LU decomposition examples using NumPy and LAPACK. Learn how pivoting, numerical stability, singular matrices, and performance optimization work in real systems, with clear Python code and practical insights.
2025-09-26

5.3 LU in NumPy and LAPACK

A practical, in-depth guide to how LU decomposition is implemented in NumPy and LAPACK. Learn about partial pivoting, blocked algorithms, BLAS optimization, error handling, and how modern numerical libraries achieve both speed and stability.
2025-09-25

5.2 Numerical Pitfalls

A deep, accessible explanation of the numerical pitfalls in LU decomposition. Learn about growth factors, tiny pivots, rounding errors, catastrophic cancellation, ill-conditioning, and why LU may silently produce incorrect results without proper pivoting and numerical care.
2025-09-24

5.1 LU with and without Pivoting

A clear and practical explanation of LU decomposition with and without pivoting. Learn why pivoting is essential, how partial and complete pivoting work, where no-pivot LU fails, and why modern numerical libraries rely on pivoted LU for stability.
2025-09-23

Chapter 5 — LU Decomposition

An in-depth, accessible introduction to LU decomposition—why it matters, how it improves on Gaussian elimination, where pivoting fits in, and what modern numerical libraries like NumPy and LAPACK do under the hood. Includes a guide to stability, practical applications, and a smooth transition into LU with and without pivoting.
2025-09-22

4.4 When Elimination Fails

An in-depth, practical explanation of why Gaussian elimination fails in real numerical systems—covering zero pivots, instability, ill-conditioning, catastrophic cancellation, and singular matrices—and how these failures motivate the move to LU decomposition.
2025-09-21

4.3 Pivoting Strategies

A practical and intuitive guide to pivoting strategies in numerical linear algebra, explaining partial, complete, and scaled pivoting and why pivoting is essential for stable Gaussian elimination and reliable LU decomposition.
2025-09-20

4.2 Row Operations and Elementary Matrices

A deep but intuitive explanation of row operations and elementary matrices, showing how Gaussian elimination is built from structured matrix transformations and how these transformations form the foundation of LU decomposition and numerical stability.
2025-09-19

4.1 Gaussian Elimination Revisited

A deep, intuitive exploration of Gaussian elimination as it actually behaves inside floating-point arithmetic. Learn why the textbook algorithm fails in practice, how instability emerges, why pivoting is essential, and how elimination becomes reliable through matrix transformations.
2025-09-18

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