{R}R Dev Notes
Found total of 37 articles.
The Forward Deployed Engineer, Chapter 5: The AI and Agentic Frontier
Chapter 5 of The Forward Deployed Engineer blog series. The technical bar that the FDE shares with platform engineers — plus the AI-specific skills that separate the role in 2026. A teaser on agents beyond chatbots, RAG, multi-agent orchestration, evals as a discipline, and model-agnostic deployment.
2026-05-31
The Engineering of Intent, Chapter 37: Context Scaling — Just-In-Time Retrieval for Million-Line Codebases
Chapter 37 of The Engineering of Intent blog series. Hand-authored Context Packs don't scale past a million lines. A teaser on Just-In-Time Context, retrieval via MCP, the three governors that prevent runaway retrieval, and a concrete pipeline from a 3.8M-line codebase.
2026-05-23
The Engineering of Intent, Chapter 29: Vibe Coding in the Backend
Chapter 29 of The Engineering of Intent blog series. Backends are unusually well suited to agentic development — but each subdomain has characteristic failure modes. A teaser on API design, migrations, job idempotency, caching, auth, and the billing-service rewrite that shipped in four months via extraction rather than vibes.
2026-05-15
The Engineering of Intent, Chapter 26: Checklists for the Working Engineer
Chapter 26 of The Engineering of Intent blog series. Six one-page checklists I reach for mid-task — new feature, PR, deploy, post-incident, Context Pack health, and interview. A teaser on why checklists are most valuable when you're most confident you don't need them.
2026-05-12
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
Azure Front Door: a practical introduction
What Azure Front Door is, who it's for, what it costs, how it compares to Cloudflare and CloudFront, and a walkthrough of the settings that matter when putting it in front of an Azure App Service.
2026-05-11
The Engineering of Intent, Chapter 18: The Prompt Patterns Catalog
Chapter 18 of The Engineering of Intent blog series. Ten prompt patterns I use every day, with the design moves behind them. A teaser on Planning, Targeted Diff, Adversarial Review, Bug-Hypothesis, Scoping-Down, Consistency-Check, Teach-Back, Written-Down-Rule, Test-First, and One-Page-Design prompts.
2026-05-04
The Engineering of Intent, Chapter 17: The Flow Loop
Chapter 17 of The Engineering of Intent blog series. Flow with an agent in the loop is different from classical flow, but just as performance-defining. A teaser on the two-minute rule, the three-strike rule, the flow killers, and the checkout refactor that shipped in one afternoon instead of two days.
2026-05-03
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 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 10: The Five-Layer Quality Gate Stack
Chapter 10 of The Engineering of Intent blog series. Every AI-generated change must pass five layers of automated gates before a human sees it. A teaser on linting, strict types, SAST, test synthesis, and agentic E2E — plus the anti-patterns that quietly invalidate the stack.
2026-04-26
The Engineering of Intent, Chapter 2: Cognitive Load and Material Disengagement
Chapter 2 of The Engineering of Intent blog series. When the agent does most of the typing, the real failure mode is the engineer who has stopped engaging. A teaser on material disengagement, impressionistic scanning, the autocomplete trap, decision fatigue, and the seven habits of engaged engineers.
2026-04-18
The Engineering of Intent, Chapter 1: The Triadic Relationship Model
Chapter 1 of The Engineering of Intent blog series. Software used to be a dyad between engineer and machine. Now a third actor — the AI agent — has joined permanently. A teaser covering the Triadic Relationship Model, the CMDP view of software, and the six failure modes every AI-native team needs to name.
2026-04-17
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 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
Chapter 17: Federation Between Organizations — Identity Across Corporate Boundaries
Chapter 17 of the OpenID: Modern Identity series — federation between organizations: B2B identity, partner federation with metadata exchange and claim mapping, and the trust chains that emerge when federation goes multi-hop.
2026-03-23
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 15: FAPI and High-Stakes Security — When the Defaults Aren't Enough
Chapter 15 of the OpenID: Modern Identity series — FAPI for high-stakes scenarios: what FAPI 1.0 Advanced and 2.0 require, Pushed Authorization Requests (PAR), JWT-Secured Authorization Requests (JAR), and migrating from FAPI 1.0 Advanced to FAPI 2.0.
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 14: Hardening Your Identity Stack — Setting the Defaults That Keep You Safe
Chapter 14 of the OpenID: Modern Identity series — hardening defaults that neutralize common attacks: strict redirect URI matching, audience validation to solve the confused deputy problem, token lifetime tuning, and refresh token binding, rotation, and revocation.
2026-03-20
Chapter 13: Threat Modeling OpenID Systems — Thinking Like the Adversary
Chapter 13 of the OpenID: Modern Identity series — threat modeling for OIDC systems: token theft vectors and defenses, replay attacks and nonce validation, CSRF and state parameter mismanagement, redirect abuse and mix-up attacks.
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
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
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
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 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 6: Discovery and Metadata — How Clients and Providers Find Each Other
Chapter 6 of the OpenID: Modern Identity series — how OIDC discovery, .well-known/openid-configuration, JWKS, and Dynamic Client Registration allow clients and providers to find each other without hand-crafted configuration.
2026-03-12
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 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 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
Master Claude, Chapter 3: Understanding Entropy and Prompting Fundamentals — Why Your Prompts Fail and How to Fix Them
Chapter 3 of Master Claude Chat, Cowork and Code explains why some prompts work and others fail — through the lens of entropy and probability. Covers XML-structured prompting, chain-of-thought reasoning, multishot examples, and a standard prompt template you can use immediately.
2026-03-04
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
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
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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