{R}R Dev Notes
Found total of 21 articles.
The Engineering of Intent, Chapter 32: Vibe Coding in Platform and Infrastructure
Chapter 32 of The Engineering of Intent blog series. Platform work is slow-moving by nature, but every improvement compounds across the whole engineering org. A teaser on infrastructure-as-code, CI evolution, internal-tool velocity, and the deployment-tool rebuild that dropped deploys from 40 minutes to 12.
2026-05-18
The Engineering of Intent, Chapter 31: Vibe Coding in Data and ML
Chapter 31 of The Engineering of Intent blog series. Data and ML work is where AI-native velocity meets statistical thinking and slow feedback loops. A teaser on ETL graduated rollout, feature-leakage guards, model evaluation boundaries, and the churn-pipeline case study that split build-time (8 days) from validation-time (weeks).
2026-05-17
The Engineering of Intent, Chapter 25: The Debugging Playbook
Chapter 25 of The Engineering of Intent blog series. A flipbook of the ten classes of bug in the AI-native regime, each with investigation pattern and worked example. A teaser on deterministic-but-wrong, intermittent, regression-after-refactor, concurrency, configuration, and the "it cannot happen" bug.
2026-05-11
The Engineering of Intent, Chapter 13: VibeOps and CI/CD Evolution
Chapter 13 of The Engineering of Intent blog series. Static CI/CD was built for human-paced commits. AI-native velocity needs dynamic, context-aware, agent-literate pipelines. A teaser on VibeOps, context preservation across deployments, merge queues at velocity, and the ten-minute pipeline contract.
2026-04-29
The Engineering of Intent, Chapter 12: The GenDD Pod
Chapter 12 of The Engineering of Intent blog series. Three people, continuous flow, almost no ceremony — the team structure that actually ships AI-native work sustainably. A teaser on the Agentic Product Lead, Engineer, and QA roles, the transition from Agile, and the case study where a SaaS company went from 72 engineers to 24.
2026-04-28
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
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
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
Chapter 20 – The Next Decade of AI Coworkers
Chapter 20 of Master Claude Chat, Cowork and Code looks ahead — from conversational AI to embedded infrastructure, from chat interfaces to computer use, and the trust and responsibility questions that will define how AI reshapes work over the next decade.
2026-03-20
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
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 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
Master Claude, Chapter 2: The Three Pillars of Claude — Chat, Cowork, and Code
Claude is not one product — it is three. Chat for reasoning, Cowork for desktop automation, Code for terminal-based development. Chapter 2 of Master Claude Chat, Cowork and Code explains the architecture of each and the decision framework for choosing the right one.
2026-03-03
Master Claude, Chapter 1: The Evolution of Large Language Models — From Markov Chains to Context Engineering
Chapter 1 of Master Claude Chat, Cowork and Code traces the journey from statistical text prediction to reasoning engines — and explains why context engineering, not bigger models, is where the next leap in AI productivity comes from.
2026-03-02
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 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
Teams App Manifest and Packaging|Mastering Microsoft Teams Bots 5.2
Transform your bot into a full Teams app. This section walks through how to create a Teams app manifest, add branding, define scopes, and package your bot into a distributable .zip file for sideloading, internal use, or submission to the Microsoft App Store.
2025-04-16
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
Hello World Bot|Mastering Microsoft Teams Bots 2.2
Build your first Microsoft Teams bot with a simple Hello World response. This hands-on section walks you through using the Bot Framework SDK, setting up a local project with Node.js or .NET, using Ngrok to expose your endpoint, and testing your bot directly in Teams.
2025-04-06
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