{R}R Dev Notes
Found total of 17 articles.
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 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
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
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 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 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
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 12: CLAUDE.md — Designing Guardrails That Shape How Claude Thinks
Chapter 12 of Master Claude Chat, Cowork and Code explores CLAUDE.md as a living constitution for AI behavior — positive constraints over prohibitions, complete financial and startup examples, instruction decay, hierarchical files, and anti-patterns to avoid.
2026-03-13
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 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
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
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
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