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    <loc>https://vybecoding.ai/guides/run-claude-code-unattended-auto-mode-goal-routines-and-claude-in-chrome</loc>
    <lastmod>2026-06-17T11:38:08.958Z</lastmod>
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      <image:title>Run Claude Code Unattended: Auto Mode, /goal, Routines, and Claude in Chrome</image:title>
      <image:caption>A four-layer walkthrough for running Claude Code without babysitting it: auto mode to cut approval prompts, /goal to enforce a finish line, and /schedule Routines for cloud-scheduled jobs. Every feature claim from a popular June 2026 video is re-checked against Anthropic docs and corrected where the video got it wrong — /routines is really /schedule, and Claude for Chrome is no longer macOS-only.</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/fine-tuned-mid-tier-vs-frontier-when-a-smaller-model-wins-and-costs-10x-less</loc>
    <lastmod>2026-06-11T15:57:06.536Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/b5873dff-8ce6-48ca-a09f-cf659db8c2a4</image:loc>
      <image:title>Fine-Tuned Mid-Tier vs Frontier: When a Smaller Model Wins (And Costs 10x Less)</image:title>
      <image:caption>Fine-Tuned Mid-Tier vs Frontier: When a Smaller Model Wins (And Costs 10x Less) Learning Outcomes By the end of this guide, you will be able to: 1.</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/building-ai-agent-approval-workflows-emoji-shortcuts-telegram-bots-mobile-first-permissions</loc>
    <lastmod>2026-06-11T15:54:28.727Z</lastmod>
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      <image:title>Building AI Agent Approval Workflows: Emoji Shortcuts, Telegram Bots &amp; Mobile-First Permissions</image:title>
      <image:caption>Building AI Agent Approval Workflows: Emoji Shortcuts, Telegram Bots &amp; Mobile-First Permissions A practical guide to the part of agent design nobody demos: the moment your autonomous agent stops and asks &quot;can I run this?&quot; We cover three...</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/how-to-structure-claude-code-skills-the-9-categories-anthropic-uses-internally</loc>
    <lastmod>2026-06-11T15:47:04.549Z</lastmod>
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      <image:title>How to Structure Claude Code Skills: The 9 Categories Anthropic Uses Internally</image:title>
      <image:caption>After cataloging every internal skill at Anthropic, the Claude Code team found they cluster into exactly nine categories. Here is each one — what it does, the skills Anthropic names as examples, and how to map the taxonomy onto your own .claude directory.</image:caption>
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    <loc>https://vybecoding.ai/guides/bolt-new-vs-lovable-which-full-stack-app-builder-in-2026</loc>
    <lastmod>2026-06-11T15:46:04.893Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/d469f308-ff30-4652-a638-e49c55e46889</image:loc>
      <image:title>Bolt.new vs Lovable: Which Full-Stack App Builder in 2026</image:title>
      <image:caption>An honest comparison of two AI full-stack app builders — Bolt.new and Lovable — across pricing models, supported stacks, deploy targets, backend story, export-to-repo, and iteration speed. Includes a concrete where-each-breaks section and vendor-cited pricing, so you pick the one that fits the app you&apos;re actually building.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/v0-by-vercel-for-next-js-developers-what-it-does-and-when-not-to-use-it</loc>
    <lastmod>2026-06-11T15:45:03.240Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/b93d07cc-6857-4337-ab64-9da121438992</image:loc>
      <image:title>v0 by Vercel for Next.js Developers: What It Does and When Not to Use It</image:title>
      <image:caption>A plain-spoken guide to v0 by Vercel for people already building with Next.js and the App Router — what v0 actually generates, how its output drops into an App Router project, what the free tier really gives you, two concrete workflows, and an honest section on when v0 is the wrong tool.</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/cursor-vs-bolt-new-vs-claude-code-picking-your-ai-coding-tool-in-2026</loc>
    <lastmod>2026-06-11T15:44:26.000Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/25a1a75f-27a8-41c2-81f0-d651c3ee5645</image:loc>
      <image:title>Cursor vs Bolt.new vs Claude Code: Picking Your AI Coding Tool in 2026</image:title>
      <image:caption>A working comparison of three very different AI coding tools — Cursor the AI editor, Bolt.new the in-browser app builder, and Claude Code the terminal agent. Side-by-side on pricing, model backends, context handling, agentic depth, and repo-vs-greenfield fit, with every price footnoted to the vendor&apos;s own pricing page and one honest limitation each.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/the-8-component-llm-control-layer-100-structured-output-reliability-in-production</loc>
    <lastmod>2026-06-05T18:16:28.491Z</lastmod>
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    <priority>0.8</priority>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/925272c1-4485-4052-b02c-e48fa95c9b31</image:loc>
      <image:title>The 8-Component LLM Control Layer — 100% Structured Output Reliability in Production</image:title>
      <image:caption>The 8-Component LLM Control Layer — 100% Structured Output Reliability in Production A clean prompt gets you a demo. It does not get you a system you can put in front of paying users.</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/every-popular-claude-skills-system-compared-and-the-simple-loop-they-all-share</loc>
    <lastmod>2026-06-05T22:01:10.958Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/1af74659-82af-4395-82af-a9a4e3995bb1</image:loc>
      <image:title>Every Popular Claude Skills System, Compared — and the Simple Loop They All Share</image:title>
      <image:caption>A beginner-friendly tour of the most popular Claude Code &apos;skills&apos; libraries — Addy Osmani&apos;s agent-skills, Matt Pocock, Gary Tan, Everything Claude Code, BMAD, and Superpowers — what each one is for, the five-step loop they all quietly share, and why the best skill system is ultimately the small one you build yourself.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/when-to-use-a-persistent-ai-agent-claw-vs-on-demand-ai-decision-framework</loc>
    <lastmod>2026-06-05T22:09:36.532Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/c7796fde-6c0c-495b-83fa-84eb47dbe5be</image:loc>
      <image:title>When to Use a Persistent AI Agent (Claw) vs On-Demand AI — Decision Framework</image:title>
      <image:caption>A practical decision framework for choosing between a persistent background AI agent (a claw) and a prompt-triggered on-demand model. Includes a decision tree with four checkpoints mapped to real enterprise scenarios.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/build-a-kanban-state-machine-for-ai-agents-in-plain-node-js</loc>
    <lastmod>2026-06-05T16:47:47.999Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/1f7523a6-1d42-46e1-9cbe-7442418c35ef</image:loc>
      <image:title>Build a Kanban State Machine for AI Agents in Plain Node.js</image:title>
      <image:caption>Build a Kanban State Machine for AI Agents in Plain Node.js When you run more than one AI agent at a time, a chat log stops being enough. You need to know — at a glance — what is running, what is waiting on you, and what is queued.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/the-four-pillar-ai-content-workflow-context-live-data-style-and-knowledge-graphs</loc>
    <lastmod>2026-06-05T16:55:05.578Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/0c9d4da6-76db-481d-9a33-47744f5f1b5d</image:loc>
      <image:title>The Four-Pillar AI Content Workflow: Context, Live Data, Style, and Knowledge Graphs</image:title>
      <image:caption>Most AI content fails not because it is badly written but because it is generic and nobody ever finds it. This is the concrete four-pillar system — context engineering, live search data over MCP, style skills, and knowledge-graph gap analysis — built on Claude Code with real config you can paste in today.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/hardening-stripe-webhooks-in-next-js-what-the-docs-don-t-tell-you</loc>
    <lastmod>2026-05-31T16:39:56.997Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/e4c9074c-e380-420b-a96c-3825060e8a68</image:loc>
      <image:title>Hardening Stripe Webhooks in Next.js: What the Docs Don&apos;t Tell You</image:title>
      <image:caption>Hardening Stripe Webhooks in Next.js: What the Docs Don&apos;t Tell You A production build log covering the raw-body parsing problem that breaks Stripe signature verification in Next.js App Router, the idempotency pattern that prevents...</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/clerk-next-js-15-in-production-the-gotchas-nobody-warns-you-about</loc>
    <lastmod>2026-05-31T16:36:13.690Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/dbb5624d-4c74-4caa-9852-45e1c1f0fd7c</image:loc>
      <image:title>Clerk + Next.js 15 in Production: The Gotchas Nobody Warns You About</image:title>
      <image:caption>A first-hand account of the non-obvious Clerk configuration issues that broke our production auth — the publishable key environment split, the middleware CSP headers that silently blocked auth, and why the hosted Clerk subdomain ends up in Google&apos;s index. Real stack, real fixes.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/from-27-to-143-indexed-pages-fixing-convex-next-js-15-ssr-for-google</loc>
    <lastmod>2026-06-05T16:52:47.693Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/783c9586-082e-4538-bed5-ac27cef57556</image:loc>
      <image:title>From 27 to 143 Indexed Pages: Fixing Convex + Next.js 15 SSR for Google</image:title>
      <image:caption>A first-hand case study of why a Convex-backed Next.js 15 app was nearly invisible to Google, and the exact server-rendering changes that took it from 27 to 143 indexed pages. Covers the client-only content trap, the hybrid hydration pattern, and the robots.txt mistake that freezes pages in the index.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/how-to-run-10-parallel-claude-code-agents-without-merge-conflicts</loc>
    <lastmod>2026-06-05T16:51:49.646Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/c0f13dbb-0a5a-4eae-8699-ded4cf334187</image:loc>
      <image:title>How to Run 10+ Parallel Claude Code Agents Without Merge Conflicts</image:title>
      <image:caption>A first-hand playbook for orchestrating a fleet of parallel Claude Code agents on one repository — the git worktree merge protocol, per-agent browser isolation, and the shared-state files that must never be touched by two agents at once. Built from running this exact setup in production.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/stop-coding-first-the-prototype-tax-and-the-4-step-fix</loc>
    <lastmod>2026-06-05T16:51:06.712Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/08428d98-8a05-4e65-836e-d2edfbaa7b75</image:loc>
      <image:title>Stop Coding First: The Prototype Tax and the 4-Step Fix</image:title>
      <image:caption>A step-by-step method for solo builders: design and test the whole experience before you write a line of code, so your AI coding agent builds the right thing once instead of three times.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/claude-code-vs-openai-codex-which-ai-coding-agent-should-you-use</loc>
    <lastmod>2026-06-05T16:49:24.307Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/1ce422d3-c92b-4e23-b9a3-258bc2eedbfb</image:loc>
      <image:title>Claude Code vs OpenAI Codex — Which AI Coding Agent Should You Use?</image:title>
      <image:caption>A beginner-friendly comparison of Anthropic&apos;s Claude Code and OpenAI&apos;s Codex: what each one is, how their pricing and context windows really compare in 2026, where each one shines, and a simple decision flowchart. All numbers verified against official vendor pages.</image:caption>
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  <url>
    <loc>https://vybecoding.ai/guides/ask-your-claude-agent-for-html-a-one-line-trick-that-makes-ai-output-10-easier-to-read</loc>
    <lastmod>2026-06-05T16:47:00.401Z</lastmod>
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    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/397e01e5-5ba0-46d7-ae68-5f0232d2d47d</image:loc>
      <image:title>Ask Your Claude Agent for HTML — A One-Line Trick That Makes AI Output 10× Easier to Read</image:title>
      <image:caption>A small Anthropic-popularized prompting trick: instead of asking your AI agent to reply in plain text, ask it for HTML. You get scannable tables, color-coded options, and diagrams instead of a wall of prose. This guide covers the exact prompt, a before/after readability comparison, the real use cases, and the honest tradeoffs (token cost, noisy diffs) so you know when NOT to use it.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/5-engineer-only-claude-skills-every-vibe-coder-needs</loc>
    <lastmod>2026-06-05T23:40:08.353Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/a2511cbb-a25a-48ca-9d74-8c74d70e5cfd</image:loc>
      <image:title>5 Engineer-Only Claude Skills Every Vibe Coder Needs</image:title>
      <image:caption>A walkthrough of five skills from Matt Pocock&apos;s 100k-star skills library — improve-codebase-architecture, grill-me, caveman, zoom-out, and handoff — that bring real engineering discipline to AI coding. What each does, when to reach for it, and the exact command to run.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/gemini-skills-the-google-feature-saving-teams-hours-almost-no-one-knows-about-it</loc>
    <lastmod>2026-05-18T23:10:57.209Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/cb71d6cf-b750-4613-80ac-780be18a8575</image:loc>
      <image:title>Gemini Skills: The Google Feature Saving Teams Hours (Almost No One Knows About It)</image:title>
      <image:caption>Gemini Skills: The Google Feature Saving Teams Hours (Almost No One Knows About It) At Google Cloud Next &apos;26 in April, Google rolled out a stack of agentic Workspace features.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/how-to-build-an-ai-workflow-that-survives-model-swaps</loc>
    <lastmod>2026-05-18T23:09:09.056Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/92b72304-33d1-4eda-81a5-ea914b53c4f5</image:loc>
      <image:title>How to Build an AI Workflow That Survives Model Swaps</image:title>
      <image:caption>Stop coupling your agent to a single model. Build a durable work loop, keep memory outside the brain, and route each step to the model that fits.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/kimi-k2-6-the-free-chinese-ai-that-beat-claude-on-every-benchmark</loc>
    <lastmod>2026-05-18T22:21:05.269Z</lastmod>
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    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/903f21bb-71dc-4caf-a645-d3f5cd2b0c3b</image:loc>
      <image:title>Kimi K2.6: What Moonshot AI&apos;s New Model Actually Scores on the Benchmarks</image:title>
      <image:caption>Kimi K2.6 — The Free Chinese AI That Beat Claude on Every Benchmark Moonshot AI shipped Kimi K2.6 on April 20, 2026, and the headline number is the kind that gets denied by every closed-lab leaderboard team for a week before they finally...</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/the-run-script-pattern-how-aws-gave-ai-agents-sandboxed-python-without-shell-access</loc>
    <lastmod>2026-05-18T23:08:44.960Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/54805d54-d959-43e5-b6d6-632854c8f1d2</image:loc>
      <image:title>The run_script Pattern: How AWS Gave AI Agents Sandboxed Python Without Shell Access</image:title>
      <image:caption>A deep look at run_script — the AWS MCP Server tool that lets agents chain multiple AWS API calls in one server-side Python execution, with the IAM, network, and debugging tradeoffs developers should understand before turning it on in production.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/how-to-wire-claude-code-to-aws-with-real-time-docs</loc>
    <lastmod>2026-05-18T22:19:51.465Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/54cc8d9a-a910-4b38-bb54-1bbaf44f9938</image:loc>
      <image:title>How to Wire Claude Code to AWS With Real-Time Docs</image:title>
      <image:caption>Step-by-step setup guide for connecting Claude Code, Codex, Cursor, and other MCP-compatible agents to AWS via the Agent Toolkit, with IAM hardening and team rollout strategy.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/7-things-eating-your-claude-code-tokens-and-how-to-fix-them</loc>
    <lastmod>2026-06-13T03:44:00.796Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/c0a82a2a-4f22-4f2f-8b46-379ca82d7291</image:loc>
      <image:title>7 Things Eating Your Claude Code Tokens (and How to Fix Them)</image:title>
      <image:caption>A 12,578-byte CLAUDE.md ships to the model on every single message before you type a word. That is one of seven quiet token drains. Here is how to find what is eating your Claude Code budget, with the fix for each.</image:caption>
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  </url>
  <url>
    <loc>https://vybecoding.ai/guides/build-a-self-improving-data-pipeline-with-multi-agent-quality-gates</loc>
    <lastmod>2026-05-18T22:10:21.486Z</lastmod>
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    <image:image>
      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/37162578-22be-4122-9659-31b618e5270e</image:loc>
      <image:title>Build a Self-Improving Data Pipeline with Multi-Agent Quality Gates</image:title>
      <image:caption>A practical Anthropic SDK walkthrough of Meta&apos;s Autodata closed-loop pattern — four subagents (Generator, Evaluator, Filter, Optimizer), exact acceptance thresholds, and a TypeScript implementation that turns inference compute into higher-quality training data.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/stop-using-your-self-hosted-llm-like-chatgpt-here-s-what-you-re-missing</loc>
    <lastmod>2026-05-18T23:07:32.863Z</lastmod>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/98b20590-cf07-4d67-87f6-124dc70d7fa5</image:loc>
      <image:title>Stop Using Your Self-Hosted LLM Like ChatGPT — Here&apos;s What You&apos;re Missing</image:title>
      <image:caption>Four ways to use Ollama beyond the chat box: REST API, file pipelines, Home Assistant voice control, and AgenticSeek autonomous agents.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://vybecoding.ai/guides/running-claude-code-as-a-ci-agent-30-days-of-automated-commits-on-a-real-repo</loc>
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      <image:caption>Convex Optional Boolean Index: Fix Missing Rows (2026) Tested on May 3, 2026, with Convex ^1.35.1 (as specified in ) and our standard production configuration.</image:caption>
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      <image:caption>Hardening Stripe Webhooks: A Protocol for Convex, Clerk, and Next.js Tested on May 2, 2026, with Stripe SDK v14.2.0, Convex v1.11.0, and Clerk v5.0.0-beta on the vybecoding.ai production stack.</image:caption>
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    <changefreq>weekly</changefreq>
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      <image:title>Granola MCP Weekly Coaching Workflow with Claude</image:title>
      <image:caption>Set up Granola MCP with Claude for a weekly Friday coaching workflow — full installation guide, troubleshooting, and 8 prompts that surface communication patterns and dropped commitments.</image:caption>
    </image:image>
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  </url>
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      <image:caption>Claude Design Apple Liquid Glass Design System in One Shot</image:caption>
    </image:image>
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      <image:caption>Claude Design Animated Pitch Decks: The Two-Step Workflow</image:caption>
    </image:image>
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      <image:caption>Claude Design Landing Page Cloning in One Prompt</image:caption>
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      <image:title>Cursor 3 Agents Window vs Claude Code: Which Should You Use in 2026?</image:title>
      <image:caption>A technical 2026 comparison of Cursor 3&apos;s Agents Window and Claude Code across autonomy, planning, parallelism, verification, and team fit. Verdict: Cursor wins the visual multi-agent workflow; Claude Code keeps the agentic edge on deeper autonomous execution.</image:caption>
    </image:image>
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    <changefreq>weekly</changefreq>
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      <image:title>Claude Desktop Model Swap: OpenRouter, Foundry, and Local Models</image:title>
      <image:caption>Claude Desktop Model Swap: OpenRouter, Foundry, and Local Models Overview As of April 2026, Anthropic does not ship a native &quot;Claude Desktop&quot; application with built-in model provider switching.</image:caption>
    </image:image>
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    </image:image>
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    <changefreq>weekly</changefreq>
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      <image:title>RAG in Production: The Minimal, Correct Implementation for LLM Apps</image:title>
      <image:caption>RAG in Production: The Minimal, Correct Implementation for LLM Apps RAG (Retrieval-Augmented Generation) powers every LLM app that works with custom data.</image:caption>
    </image:image>
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      <image:caption>Production Claude: Building with the Anthropic SDK Beyond the Chat Interface Claude Code is great for development work, but production AI apps need the Anthropic SDK directly.</image:caption>
    </image:image>
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      <image:caption>Build Your First MCP Server in 30 Minutes: The Practical Guide MCP (Model Context Protocol) has reached 97 million installs. It&apos;s the standard way to extend Claude with custom tools, data sources, and reusable prompts.</image:caption>
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    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
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      <image:title>CLAUDE.md Mastery: Writing Project Instructions That Claude Actually Follows</image:title>
      <image:caption>CLAUDE.md Mastery: Writing Project Instructions That Claude Actually Follows Every Claude Code session loads a single CLAUDE.md file into the context window.</image:caption>
    </image:image>
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    <changefreq>weekly</changefreq>
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      <image:title>LLMOps: Instrumenting Your Multi-Agent Stack for Production</image:title>
      <image:caption>LLMOps: Instrumenting Your Multi-Agent Stack for Production When your agent calls a tool that calls another agent that calls an LLM and something breaks, where do you look?</image:caption>
    </image:image>
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      <image:title>Google&apos;s A2A Protocol: How Agents Talk to Each Other (and Why It Matters)</image:title>
      <image:caption>Google&apos;s A2A Protocol: How Agents Talk to Each Other (and Why It Matters) Google&apos;s Agent-to-Agent protocol is now governed by the Linux Foundation alongside MCP.</image:caption>
    </image:image>
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      <image:title>AI Cost Engineering: Token Budgeting, Prompt Caching, and Three-Tier Model Routing</image:title>
      <image:caption>AI Cost Engineering: Token Budgeting, Prompt Caching, and Three-Tier Model Routing Running AI in production at scale isn&apos;t cheap — unless you engineer it.</image:caption>
    </image:image>
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      <image:title>AI Agent Billing Is Broken — Here&apos;s What&apos;s Replacing Subscriptions</image:title>
      <image:caption>Flat-rate AI subscriptions break when agents — not humans — are the primary users. Discover the four pricing models replacing subscriptions: per-seat, token-metered, session-based, and outcome-based cost-per-resolved-task.
</image:caption>
    </image:image>
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    <priority>0.8</priority>
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      <image:title>Mastering Claude Code: A Practical Guide to Advanced Slash Commands</image:title>
      <image:caption>As you work in a long-running session, the &quot;context window&quot; (the amount of information Claude can remember) fills up with chat history, file contents, and terminal outputs. This can lead to increased </image:caption>
    </image:image>
  </url>
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    <loc>https://vybecoding.ai/guides/claude-code-vs-opencode-vs-cline-vs-aider-which-ai-coding-agent-should-you-use</loc>
    <lastmod>2026-06-13T03:44:01.913Z</lastmod>
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    <priority>0.8</priority>
    <image:image>
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      <image:title>Claude Code vs OpenCode vs Cline vs Aider: Which AI Coding Agent Should You Use?</image:title>
      <image:caption>Four coding agents, one decision. Claude Code for depth, OpenCode for model freedom, Cline inside VS Code, Aider for git-native terminal work. Where each one actually wins in 2026, and the one I would hand a new developer first.</image:caption>
    </image:image>
  </url>
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    <lastmod>2026-05-18T20:42:51.750Z</lastmod>
    <changefreq>weekly</changefreq>
    <priority>0.8</priority>
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      <image:loc>https://modest-lobster-37.convex.cloud/api/storage/380da3e8-80c9-41c6-b420-79a574a43703</image:loc>
      <image:title>Anthropic&apos;s Three-Tier Routing Strategy — Opus 4.7, Sonnet 4.6, and Haiku 4.5</image:title>
      <image:caption>Haiku handles simple tasks, Sonnet manages most workloads, and Opus takes the judgment calls. This guide covers Anthropic&apos;s three-tier routing strategy, the Adviser API pattern, and the decision matrix for choosing which model to call when.</image:caption>
    </image:image>
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    <loc>https://vybecoding.ai/guides/karpathy-just-killed-vibe-coding-agentic-engineering-for-builders</loc>
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    <changefreq>weekly</changefreq>
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      <image:title>Karpathy Called Vibe Coding &apos;Passé&apos; — The Case for Agentic Engineering</image:title>
      <image:caption>On February 4, 2026 — exactly one year after coining &apos;vibe coding&apos; — Andrej Karpathy declared the term passé and proposed &apos;agentic engineering&apos; as the more accurate name for how professionals now build with AI. His distinction: vibe coding remains fine for demos and throwaway projects, but undersells the structured discipline that production-grade AI-assisted development requires.</image:caption>
    </image:image>
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    <priority>0.8</priority>
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      <image:title>7 Things to Set Up Before Writing a Single AI Prompt</image:title>
      <image:caption>Most developers jump straight into prompting and wonder why Claude Code fights them. This guide walks through 7 essential setup steps — GitHub repos, CLAUDE.md files, MCP servers, and custom sub-agents — that make every project 10x easier.
</image:caption>
    </image:image>
  </url>
  <url>
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      <image:title>Remote Claude Code Terminal Access: Check on Your AI Agent from Anywhere</image:title>
      <image:caption>Remote Claude Code Terminal Access: Check on Your AI Agent from Anywhere Introduction You start a Claude Code session, give it a big task, and then you need to leave your desk.</image:caption>
    </image:image>
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