Advanced Guides
Explore 13 curated advanced guides for building with AI coding agents — what each one does, when to use it, and how to add it to your workflow.
Building an MCP Server
An accurate introduction to the Model Context Protocol: server anatomy, transports, and connecting a tool to Claude Code.
Building Multi-Step Agent Workflows
Patterns for building multi-step agent workflows in Claude Code: decompose tasks, fan-out to parallel subagents, verify every step, and orchestrate.
Building Agents with the Claude Agent SDK
A working tutorial for the Claude Agent SDK in TypeScript and Python — query(), tool permissions, custom in-process MCP tools, subagents, hooks, and auth.
Running Claude Code in CI: Headless Mode & GitHub Actions
Claude Code without the terminal — claude -p flags, JSON and structured output, safe permission scoping, and the official GitHub Action responding to @claude.
Codex Subagents: Parallel Work Without Losing Control
Use Codex subagents for parallel exploration, review, tests, and implementation — including decomposition, custom agents, permissions, and merge discipline.
Jina Reader API: r.jina.ai and s.jina.ai Headers, Examples, and Limits
How to use the Jina Reader API: r.jina.ai and s.jina.ai quickstart, every documented request header, curl recipes, rate limits, MCP setup, and self-hosting.
LLM API Pricing in 2026: Every Major Model Compared
Per-million-token prices for Claude, GPT, Gemini, DeepSeek, Mistral, and Grok — plus caching and batch discounts — verified against vendor pricing pages.
LLM Context Windows Compared (2026)
Context windows and max output tokens across Claude, GPT, Gemini, DeepSeek, and Grok — the million-token era, what it costs, and what fits in practice.
LLM Cost and Latency Engineering: Caching, Right-Sizing, and p95 Budgets
A practical playbook for cutting LLM cost and tail latency — caching, model right-sizing, prompt trimming, and enforced p95 budgets — without losing quality.
LLM Gateways Compared: Portkey vs Helicone vs LiteLLM for Caching & Cost Control
How Portkey, Helicone, and LiteLLM compare for caching, cost control, and observability — each one's 2026 status and which fits self-hosted vs. hosted.
Multi-Agent Orchestration
Four patterns for coordinating multiple agents — fan-out, pipeline, orchestrator-worker, and verify/critic — and when each earns its overhead.
Parallel Claude Code Sessions with Git Worktrees
Run several Claude Code sessions at once without edits colliding — the built-in claude --worktree flag, .worktreeinclude, subagent isolation, and cleanup.
Sandboxing AI-Generated Code: E2B vs Modal vs Daytona vs Vercel Sandbox
Where should agent-written code run? E2B vs Modal vs Daytona vs Vercel Sandbox compared on isolation, persistence, and cost, plus rules for safe execution.