{R}R Dev Notes
Found total of 91 articles.
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 9: Claude Code Fundamentals — The CLI Agent That Rewrites Your Codebase
Chapter 9 of Master Claude Chat, Cowork and Code introduces Claude Code — a CLI agent that reads, analyzes, and modifies codebases directly from the terminal. Covers architecture, multi-file refactoring, Git worktrees, and permission management.
2026-03-10
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
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
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
Master Claude, Chapter 4: Context Persistence with Claude Projects — Solving the AI Amnesia Problem
Chapter 4 of Master Claude Chat, Cowork and Code explains how Claude Projects solve the AI amnesia problem with persistent context — custom instructions, knowledge bases, and shared team workspaces that remember your architecture, conventions, and patterns across every conversation.
2026-03-05
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 19: Why I Still Code
The final chapter. A personal reflection on why the act of writing code remains meaningful—and why craftsmanship endures even as everything else changes.
2026-01-17
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, Part VII: Beyond Today
Introduction to Part VII. As AI writes more code, what becomes the engineer's irreplaceable role? A look at how automation transforms—but doesn't diminish—the craft.
2026-01-14
Art of Coding, Chapter 16: Ethics and Longevity
How ethics and longevity intertwine in code. Why the systems you write today remain your responsibility for years, and how empathy shapes sustainable software.
2026-01-13
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 13: Testing as a Design Discipline
Testing is a design discipline. How well-written tests reveal awkward APIs, improve code clarity, and become the most reliable documentation of system behavior.
2026-01-09
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
Art of Coding, Chapter 10: Anti-Patterns to Avoid
Anti-patterns are the structural traps that silently erode codebases. Learning to recognize them early is one of the most valuable skills a developer can have.
2026-01-05
Art of Coding, Chapter 9: Design Patterns as a Language of Developers
Design patterns compress complex architectural ideas into shared language. But they're tools for solving problems, not decorations for code.
2026-01-04
Art of Coding, Part IV: Patterns, Anti-Patterns, and Architecture
Part IV explores design patterns as language, anti-patterns as warning signs, and architecture as the invisible skeleton enabling system growth.
2026-01-03
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, Part III: Practices That Shape Good Code
From principles to practice. How daily habits, small decisions, and repeated choices shape code that actually endures.
2025-12-30
Art of Coding, Chapter 5: Consistency and Style
Consistency is kindness. How coding standards, formatters, and idiomatic style shape code that teams can actually live with.
2025-12-29
Art of Coding, Chapter 4: Maintainability and Scalability
How to build code that bends instead of breaks, systems that grow without collapsing, and anticipate change without over-engineering.
2025-12-28
Art of Coding, Chapter 3: Readability First
Readability first: how naming, structure, and visual rhythm make code habitable for teams and time.
2025-12-27
Art of Coding, Part II: Principles of Clarity
Part II introduces clarity as the compass of software: readability, maintainability, and the consistency that makes teams move faster.
2025-12-26
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
Art of Coding, Part I: Why Code is an Art
Introducing the Art of Coding blog series: a 26-week exploration of what makes code beautiful, maintainable, and enduring in the age of AI.
2025-12-23
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
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
1.0 Why Numerical Linear Algebra Matters
A deep, practical introduction to why numerical linear algebra matters in real AI, ML, and optimization systems. Learn how stability, conditioning, and floating-point behavior impact models.
2025-09-02
Numerical Linear Algebra: Understanding Matrices and Vectors Through Computation
Learn how linear algebra actually works inside real computers. A practical guide to LU, QR, SVD, stability, conditioning, and the numerical foundations behind modern AI and machine learning.
2025-09-01
Localization and Multi-Tenant Support|Mastering Microsoft Teams Bots 4.4
Prepare your Microsoft Teams bot for real-world deployment. This section covers how to support multiple languages using localization, and how to safely handle multiple organizations with multi-tenant support — including tenant isolation, data security, and consent flows.
2025-04-14
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
Conversation Flow and Dialogs|Mastering Microsoft Teams Bots 3.3
Learn how to build intelligent conversation flows in Microsoft Teams bots using dialogs. This section explains how to guide users through multi-turn interactions, manage state, use prompts and waterfalls, and decide when to use dialogs versus Task Modules.
2025-04-10
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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