Guides
What AI Platforms Actually Do With Your Chat Data (And How to Opt Out)
What AI Platforms Actually Do With Your Chat Data (And How to Opt Out) OpenAI's own privacy page confirms that ChatGPT, Codex, and other consumer products "may use your content to train our models" unless you switch that off yourself...
Run Claude Code Unattended: Auto Mode, /goal, Routines, and Claude in Chrome
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.
5 Patterns for Building Production AI Agents
The five agentic patterns from Anthropic's 'Building Effective Agents' — prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer — each with one runnable Python example. Start simple, add complexity only when it pays for itself.
Fine-Tuned Mid-Tier vs Frontier: When a Smaller Model Wins (And Costs 10x Less)
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.
Building AI Agent Approval Workflows: Emoji Shortcuts, Telegram Bots & Mobile-First Permissions
Building AI Agent Approval Workflows: Emoji Shortcuts, Telegram Bots & Mobile-First Permissions A practical guide to the part of agent design nobody demos: the moment your autonomous agent stops and asks "can I run this?" We cover three...
How to Structure Claude Code Skills: The 9 Categories Anthropic Uses Internally
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.
Bolt.new vs Lovable: Which Full-Stack App Builder in 2026
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're actually building.
v0 by Vercel for Next.js Developers: What It Does and When Not to Use It
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.
Cursor vs Bolt.new vs Claude Code: Picking Your AI Coding Tool in 2026
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's own pricing page and one honest limitation each.
Intelligence Per Token: Why Local AI Needs Loops, Not One-Shots
A small local model that runs on your own desk can do real work — but only if you stop prompting it like ChatGPT. This guide breaks down intelligence per token and the five-step agentic loop that turns a 3B-active model into a reliable builder, with the exact specify-implement-review-patch-verify cycle and the hardware and tools to run it.
The 8-Component LLM Control Layer — 100% Structured Output Reliability in Production
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.
Every Popular Claude Skills System, Compared — and the Simple Loop They All Share
A beginner-friendly tour of the most popular Claude Code 'skills' libraries — Addy Osmani'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.
When to Use a Persistent AI Agent (Claw) vs On-Demand AI — Decision Framework
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.
Build a Kanban State Machine for AI Agents in Plain Node.js
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.
The Four-Pillar AI Content Workflow: Context, Live Data, Style, and Knowledge Graphs
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.
Hardening Stripe Webhooks in Next.js: What the Docs Don't Tell You
Hardening Stripe Webhooks in Next.js: What the Docs Don'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...
Clerk + Next.js 15 in Production: The Gotchas Nobody Warns You About
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's index. Real stack, real fixes.
From 27 to 143 Indexed Pages: Fixing Convex + Next.js 15 SSR for Google
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.
How to Run 10+ Parallel Claude Code Agents Without Merge Conflicts
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.
Stop Coding First: The Prototype Tax and the 4-Step Fix
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.
Claude Code vs OpenAI Codex — Which AI Coding Agent Should You Use?
A beginner-friendly comparison of Anthropic's Claude Code and OpenAI'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.
Ask Your Claude Agent for HTML — A One-Line Trick That Makes AI Output 10× Easier to Read
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.
5 Engineer-Only Claude Skills Every Vibe Coder Needs
A walkthrough of five skills from Matt Pocock'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.
Claude Code's /goal Command: Autonomous Coding with Adversarial Verification
A practical walkthrough of Claude Code's /goal command — how its independent adversarial review loop verifies work, why you plan first and feed tasks two at a time under a ~3,500-character ceiling, and the memory system that keeps long autonomous runs from drifting.
Showing 24 of 79 guides
All guides
- What AI Platforms Actually Do With Your Chat Data (And How to Opt Out)
- Run Claude Code Unattended: Auto Mode, /goal, Routines, and Claude in Chrome
- 5 Patterns for Building Production AI Agents
- Fine-Tuned Mid-Tier vs Frontier: When a Smaller Model Wins (And Costs 10x Less)
- Building AI Agent Approval Workflows: Emoji Shortcuts, Telegram Bots & Mobile-First Permissions
- How to Structure Claude Code Skills: The 9 Categories Anthropic Uses Internally
- Bolt.new vs Lovable: Which Full-Stack App Builder in 2026
- v0 by Vercel for Next.js Developers: What It Does and When Not to Use It
- Cursor vs Bolt.new vs Claude Code: Picking Your AI Coding Tool in 2026
- Intelligence Per Token: Why Local AI Needs Loops, Not One-Shots
- The 8-Component LLM Control Layer — 100% Structured Output Reliability in Production
- Every Popular Claude Skills System, Compared — and the Simple Loop They All Share
- When to Use a Persistent AI Agent (Claw) vs On-Demand AI — Decision Framework
- Build a Kanban State Machine for AI Agents in Plain Node.js
- The Four-Pillar AI Content Workflow: Context, Live Data, Style, and Knowledge Graphs
- Hardening Stripe Webhooks in Next.js: What the Docs Don't Tell You
- Clerk + Next.js 15 in Production: The Gotchas Nobody Warns You About
- From 27 to 143 Indexed Pages: Fixing Convex + Next.js 15 SSR for Google
- How to Run 10+ Parallel Claude Code Agents Without Merge Conflicts
- Stop Coding First: The Prototype Tax and the 4-Step Fix
- Claude Code vs OpenAI Codex — Which AI Coding Agent Should You Use?
- Ask Your Claude Agent for HTML — A One-Line Trick That Makes AI Output 10× Easier to Read
- 5 Engineer-Only Claude Skills Every Vibe Coder Needs
- Claude Code's /goal Command: Autonomous Coding with Adversarial Verification
- Why a 27B Model Beats a 397B One: The Qwen3.6-27B Efficiency Paradox
- How to Build a Universal AI Memory System with Postgres and MCP
- The 4 Caching Strategies Every Developer Should Know
- Anthropic's Front-End Design Skill: 277K Installs and Why It Beats Default AI UI
- Deep Research with Claude: Parallel Market Research Agents in One Session
- The 4 Rules Anthropic Engineers Use to Prompt Claude Code
- Connect Claude Code to Unity 6 MCP Server
- Build Live Voice Agents, Translators, and Transcription Tools with OpenAI GPT Realtime
- The Hidden Token Tax in Every AI Agent You Build — And How to Fix It
- Gemini Skills: The Google Feature Saving Teams Hours (Almost No One Knows About It)
- How to Build an AI Workflow That Survives Model Swaps
- Kimi K2.6: What Moonshot AI's New Model Actually Scores on the Benchmarks
- The run_script Pattern: How AWS Gave AI Agents Sandboxed Python Without Shell Access
- How to Wire Claude Code to AWS With Real-Time Docs
- 7 Things Eating Your Claude Code Tokens (and How to Fix Them)
- Build a Self-Improving Data Pipeline with Multi-Agent Quality Gates
- Stop Using Your Self-Hosted LLM Like ChatGPT — Here's What You're Missing
- Running Claude Code as a CI Agent — 30 Days of Automated Commits on a Real Repo
- Convex Optional Boolean Index: Fix Missing Rows (2026)
- Building a Proactive Morning Briefing Agent in Claude Code
- Wiring Convex to Next.js 15 RSC Without Breaking SSR — The Hybrid `useQuery ?? initialData` Pattern
- Hardening Stripe Webhooks: A Protocol for Convex, Clerk, and Next.js
- Amazon's 6 Rules for Building With AI
- Fine-Tuning vs Prompt Engineering: When to Graduate Your LLM Agent
- Building a Neural Network from Scratch: A Practical Guide using NumPy
- Granola MCP Weekly Coaching Workflow with Claude
- The AI-Native Office Suite: Claude Code + Claude Design + Claude Cowork
- Claude Design Apple Liquid Glass Design System in One Shot
- Claude Design Animated Pitch Decks: The Two-Step Workflow
- Claude Design Landing Page Cloning in One Prompt
- Cursor 3 Agents Window vs Claude Code: Which Should You Use in 2026?
- Claude Desktop Model Swap: OpenRouter, Foundry, and Local Models
- Claude Cowork + Obsidian: The Under 1-Minute Setup (and What It Unlocks)
- RAG in Production: The Minimal, Correct Implementation for LLM Apps
- Production Claude: Building with the Anthropic SDK Beyond the Chat Interface
- Build Your First MCP Server in 30 Minutes: The Practical Guide
- CLAUDE.md Mastery: Writing Project Instructions That Claude Actually Follows
- LLMOps: Instrumenting Your Multi-Agent Stack for Production
- Google's A2A Protocol: How Agents Talk to Each Other (and Why It Matters)
- AI Cost Engineering: Token Budgeting, Prompt Caching, and Three-Tier Model Routing
- AI Agent Billing Is Broken — Here's What's Replacing Subscriptions
- Mastering Claude Code: A Practical Guide to Advanced Slash Commands
- Claude Code vs OpenCode vs Cline vs Aider: Which AI Coding Agent Should You Use?
- Anthropic's Three-Tier Routing Strategy — Opus 4.7, Sonnet 4.6, and Haiku 4.5
- Karpathy Called Vibe Coding 'Passé' — The Case for Agentic Engineering
- 7 Things to Set Up Before Writing a Single AI Prompt
- Remote Claude Code Terminal Access: Check on Your AI Agent from Anywhere
- How Andrej Karpathy's LLM Knowledge Base Technique Works (and How to Copy It in 5 Minutes)
- Clean-Room AI Rewrite: How to Rebuild Any System Architecture Legally
- Stop Prompt Engineering — Just Describe the Problem
- The Claude Code Memory Stack: CLAUDE.md, Skills, Auto-Memory, and Session Resume
- GitHub Copilot vs Claude Code: The Definitive 2026 Comparison for Real Developers
- Agentic SaaS: How Jensen Huang's GTC 2026 Vision Changes Everything for Indie Developers
- 5 Agent Skill Design Patterns: From Google's ADK to Claude Code
- Build a CLI Tool with Node.js That Solves a Real Problem