{R}R 開発ノート
合計 36 件の記事が見つかりました。
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 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
OpenClaw Engineering, Chapter 13: Hardening the Ecosystem
The final chapter: ecosystem security, the ClawHavoc incident, defending against malware in dependencies, confirming high-risk operations, and building auditing and disaster recovery systems.
2026-03-28
Frictionless SaaS, Chapter 6: The Activation Event - The One Metric That Predicts Everything Else
Chapter 6 of the Frictionless SaaS blog series. Activation isn't a moment - it's a specific, measurable event. How to define it, why precision matters, and how the Micro-Success Ladder turns a single activation action into a path most users will actually walk.
2026-03-27
OpenClaw Engineering, Chapter 12: The Agentic Zero-Trust Architecture
Zero-trust security for autonomous agents: managing blast radius, implementing three-tier defense (pre-action, in-action, post-action), container isolation, and defending against indirect prompt injection attacks.
2026-03-27
OpenClaw Engineering, Chapter 11: Continuous Learning with OpenClaw-RL
How OpenClaw-RL extracts training signals from conversations and uses them to improve agent behavior continuously. From binary feedback to token-level distillation, agents learn from every interaction without retraining the base model.
2026-03-26
OpenClaw Engineering, Chapter 10: Multi-Agent Systems
Build teams of specialized agents that work in concert. Learn how to architect planners, coders, critics, and surveyors, coordinate them via channels, and use adversarial collaboration and taste gates for high-quality output.
2026-03-25
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
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
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
Chapter 18 – Sub-Agents and Multi-Agent Collaboration
Chapter 18 of Master Claude Chat, Cowork and Code explores multi-agent architecture — how to decompose complex problems into specialized sub-agents, coordinate parallel execution, and synthesize results into coherent outputs.
2026-03-18
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
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 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 11: CI/CD Integration and Automation — Claude Code in Your Pipeline
Chapter 11 of Master Claude Chat, Cowork and Code shows how to deploy Claude Code into CI/CD pipelines — GitHub Actions, GitLab CI, automated PR reviews, security audits, documentation sync, cost management, and production safety patterns.
2026-03-12
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 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 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
Chapter 6: What Is Claude Cowork? — The Desktop Agent That Touches Your Files
Chapter 6 of Master Claude Chat, Cowork and Code introduces Claude Cowork — a sandboxed desktop agent that automates file management, data extraction, and cross-application workflows on your local machine.
2026-03-07
Art of Coding, Chapter 17: AI, Automation, and the Role of the Engineer
How AI changes engineering roles. Why automation removes drudgery but makes human judgment more valuable, and what "curation" means for the future programmer.
2026-01-15
Art of Coding, Chapter 15: Code as a Team Sport
Code as a team sport: shared ownership, documentation as craft, and respecting the reader. The human practices that make software sustainable and teams thrive.
2026-01-12
Art of Coding, Part VI: The Human Side of Code
The human side of code: collaboration, culture, and the practices that make software sustainable. How teams thrive when they value people as much as process.
2026-01-11
Art of Coding, Chapter 14: Code Reviews and Pair Programming
Code reviews as mentorship and collaboration. How to write for reviewers, offer critique with respect, and build a team culture grounded in feedback.
2026-01-10
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
Art of Coding, Part V: Tools and the Ecosystem
Tools shape the culture of how teams code. The right ecosystem amplifies clarity and craftsmanship; the wrong one creates friction and distraction.
2026-01-07
Art of Coding, Chapter 11: Architectural Thinking
Architectural thinking is the discipline of designing systems that survive real-world growth. It means asking how your code will feel to live in years from now.
2026-01-06
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
Deploying to Azure|Mastering Microsoft Teams Bots 5.1
Learn how to deploy your Microsoft Teams bot to Azure for production use. This section walks through setting up an Azure App Service, configuring environment variables, connecting to Bot Channels Registration, and testing your bot in the cloud.
2025-04-15
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
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
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