{R}R 開発ノート

合計 40 件の記事が見つかりました。

The Engineering of Intent, Chapter 11: The Art of Agentic Debugging

Chapter 11 of The Engineering of Intent blog series. Debugging in the AI-native regime is archaeology — the code may have been written by an agent you supervised loosely. A teaser on the self-correction loop, control-flow visualization, bisection under velocity, and the caching heisenbug that took hours manually but fifteen minutes with the agent.
2026-04-27

The Engineering of Intent, Chapter 9: Advanced Context Engineering

Chapter 9 of The Engineering of Intent blog series. Context engineering is the highest-leverage activity in AI-native development. A teaser on the Context Pack, the Layered Prompt, the A/B test that proved more context isn't better context, and the three anti-patterns that quietly kill agent quality.
2026-04-25

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 4: The Model Context Protocol (MCP)

Chapter 4 of The Engineering of Intent blog series. MCP is to agents what HTTP was to the early Web — a common protocol that turns bespoke integrations into reusable infrastructure. A teaser on host/client/server roles, the anatomy of a good tool, the six anti-patterns, and the security pitfalls every team trips over.
2026-04-20

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

OpenClaw Engineering, Chapter 9: Scheduling and Deterministic Orchestration

Time-based automation for agents: cron jobs for simple periodic tasks and the Lobster workflow engine for complex, deterministic, resumable multi-step pipelines with human approval gates.
2026-03-24

OpenClaw Engineering, Chapter 8: Event-Driven Workflows

How OpenClaw agents spring into action automatically via hooks, webhooks, and TypeScript handlers—without waiting for human invocation. From internal events to CI/CD pipelines.
2026-03-23

Chapter 16: Zero Trust Identity — When Every Request Is an Authentication Decision

Chapter 16 of the OpenID: Modern Identity series — Zero Trust identity: identity as the perimeter instead of the network, continuous verification via CAEP, and device trust and conditional access feeding into authorization decisions.
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

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 19 – Measuring AI Effectiveness

Chapter 19 of Master Claude Chat, Cowork and Code tackles the question every team eventually asks: is our AI actually working? Learn to build metrics frameworks, structured evaluations, and workflow acceleration measurements that prove (or disprove) AI's value.
2026-03-19

OpenClaw Engineering, Chapter 4: Managing the Gateway and Models

Configuring your running gateway with the onboard wizard, diagnostics, and openclaw.json. How to connect model providers, manage API keys securely, and route different queries to different models.
2026-03-19

OpenClaw Engineering, Chapter 3: Deployment and Environment Setup

From local development to production: installing Node.js 22+, setting up Docker containers, and deploying OpenClaw to the cloud via AWS Lightsail or VPS providers.
2026-03-18

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

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

Chapter 14 – Connecting Systems with the Model Context Protocol (MCP)

Chapter 14 of Master Claude Chat, Cowork and Code explores the Model Context Protocol — the universal bridge that lets Claude connect to Slack, GitHub, Jira, Google Drive, and more, turning isolated AI into a deeply integrated workflow partner.
2026-03-15

Chapter 13: Encapsulating Knowledge with Agent Skills — From Conversations to Autonomous Procedures

Chapter 13 of Master Claude Chat, Cowork and Code introduces Skills — reusable, encapsulated procedures that Claude executes autonomously. Covers SKILL.md structure, YAML frontmatter, trigger descriptions, and the Skills Library pattern for team distribution.
2026-03-14

Chapter 10: Safe Legacy Code Refactoring — Horror Stories and the Discipline That Prevents Them

Chapter 10 of Master Claude Chat, Cowork and Code tackles the hardest problem in AI-assisted development — refactoring legacy code without introducing subtle bugs. Covers characterization tests, incremental verification, PR review, and catching hallucinations.
2026-03-11

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 7: Plugins and Domain Specialization — Turning Claude Into Your Organization's Expert

Chapter 7 of Master Claude Chat, Cowork and Code explores how plugins transform Claude from a generalist into a domain expert — with pre-built plugins for Sales, Finance, Marketing, and Legal, slash commands, and organization-managed customization.
2026-03-08

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

3.3 Conditioning of Problems vs Stability of Algorithms

Learn the critical difference between problem conditioning and algorithmic stability in numerical computing. Understand why some systems fail even with correct code, and how sensitivity, condition numbers, and numerical stability determine the reliability of AI, ML, and scientific algorithms.
2025-09-15

2.2 Machine Epsilon, Rounding, ULPs

A comprehensive, intuitive guide to machine epsilon, rounding behavior, and ULPs in floating-point arithmetic. Learn how precision limits shape numerical accuracy, how rounding errors arise, and why these concepts matter for AI, ML, and scientific computing.
2025-09-09

1.3 Computation & Mathematical Systems

A clear explanation of how mathematical systems behave differently inside real computers. Learn why stability, conditioning, precision limits, and computational constraints matter for AI, ML, and numerical software.
2025-09-05

Use Case: Sales Assistant Bot｜Mastering Microsoft Teams Bots 6.3

Learn how to build a Sales Assistant Bot for Microsoft Teams. From surfacing leads to logging calls and syncing with CRMs, this section shows how bots can empower sales teams to move faster, close deals, and automate follow-ups — all within Teams.
2025-04-20

Use Case: Project Management Assistant Bot｜Mastering Microsoft Teams Bots 6.2

Explore how to build a Project Management Assistant Bot for Microsoft Teams that delivers task summaries, reminders, and updates directly in the chat. Learn how this bot improves team productivity by integrating with tools like Jira or Trello and surfacing key information within the Teams workflow.
2025-04-19

Use Case: Helpdesk Assistant Bot｜Mastering Microsoft Teams Bots 6.1

Explore how to build a Helpdesk Assistant Bot in Microsoft Teams. Learn how bots can reduce IT load by handling FAQs, logging support tickets, and notifying users — all within Teams. This section explains features, user experience, and implementation strategies.
2025-04-18

Monitoring, Logging, and Telemetry｜Mastering Microsoft Teams Bots 5.3

Learn how to monitor and support your Microsoft Teams bot in production using logging, Azure Application Insights, and alerts. This section shows how to track user events, diagnose failures, and create telemetry that makes your bot reliable and supportable.
2025-04-17

Message Extensions｜Mastering Microsoft Teams Bots 4.3

Learn how to build search- and action-based Message Extensions in Microsoft Teams. This section shows how to let users interact with your bot directly from the message composer — to search records, fill forms, or insert rich cards — all without leaving the chat.
2025-04-13

Proactive Messaging｜Mastering Microsoft Teams Bots 4.2

Learn how to build bots that initiate conversations in Microsoft Teams. This section explains proactive messaging — including when and how to use it, how to store conversation references, and best practices to ensure your bot helps without interrupting.
2025-04-12

Task Modules｜Mastering Microsoft Teams Bots 4.1

Learn how to use Task Modules in Microsoft Teams to embed rich, interactive modal experiences inside your bot. This section explains how to launch, return data from, and design secure webviews that turn chat into structured user interaction.
2025-04-11

Rich Responses with Adaptive Cards｜Mastering Microsoft Teams Bots 3.2

Learn how to create rich, interactive messages in Microsoft Teams using Adaptive Cards. This section explains how to design, send, and handle cards in your bot — making your bot feel less like a chat and more like a true app experience inside Teams.
2025-04-09

Message Handling｜Mastering Microsoft Teams Bots 3.1

Learn how to build responsive and intelligent Microsoft Teams bots by handling messages effectively. This section covers activity types, keyword detection, mentions, markdown formatting, conversation context, and tips for scaling from simple replies to powerful, workflow-driven bots.
2025-04-08

Bot Authentication and Identity｜Mastering Microsoft Teams Bots 2.3

Learn how Microsoft Teams bots authenticate users and access secure data. This section covers SSO, OAuth 2.0, and the Microsoft Graph API, giving your bot the ability to understand identity and act on behalf of users—safely and seamlessly.
2025-04-07

Overview of Microsoft Teams Bot Capabilities｜Mastering Microsoft Teams Bots 1.3

Explore the full range of capabilities bots can offer in Microsoft Teams. This section breaks down interactive contexts, features like Adaptive Cards, proactive messaging, user authentication, Graph API integration, and what limitations still exist. Get a developer’s guide to what’s possible.
2025-04-04

Overview of Microsoft Teams Architecture｜Mastering Microsoft Teams Bots 1.2

Get a developer-friendly introduction to how Microsoft Teams is built. This section explains Teams architecture—channels, tabs, bots, messaging extensions, and Graph API—and shows how each component fits into the broader platform. A must-read before building your first bot.
2025-04-03

Why Build Bots for Microsoft Teams?｜Mastering Microsoft Teams Bots 1.1

Discover why Microsoft Teams bots are transforming the workplace. This section explores the real-world impact of building bots in Teams, from automating tasks and integrating external services to enabling context-aware digital assistants. Learn how bots can save time, boost productivity, and bring automation into the flow of daily work.
2025-04-02

Mastering Microsoft Teams Bots: A Complete Developer’s Guide

The definitive guide to building bots for Microsoft Teams—from fundamentals to deployment. Learn how to build intelligent and interactive bots using the Microsoft Bot Framework, integrate Adaptive Cards and Task Modules, send proactive messages, authenticate users with Teams SSO, and deploy securely on Azure. Packed with practical examples and real-world use cases, this book will help you automate workflows, enhance collaboration, and deliver smart experiences inside Teams.
2025-04-01

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