5 Agent PATTERNS to SIMPLIFY Your Agentic Coding (Claude Code, Gemini CLI, MCP)

Agents aren’t "coming" — they’re already eating your backlog. If you’re still duct-taping one-off prompts, you’re burning compute and time. ⚠️🔥 Let’s pick the right agent patterns, scale smart, and win week by week with agentic coding. 🎥 VIDEO REFERENCES PRINCIPLED AI CODING: https://agenticengineer.com/principled-ai-coding?y=XojxD7hfaD4 CLAUDE CODE SUB AGENTS BREAKDOWN: https://youtu.be/7B2HJr0Y68g In this video, IndyDevDan lays out 5 battle-tested agent patterns that simplify agentic coding across Claude Code, gemini cli, and your mcp server stack — plus a bonus "Application Pattern" when you need full control. You’ll see how to choose the smallest pattern that solves the problem now, then scale only when the workload demands it. From rapid, iterative human-in-the-loop to reusable prompts, sub-agents, prompt-to-sub-agent orchestration, and wrapper mcp server design, you’ll know exactly when to use which pattern for maximum leverage in ai coding. What you’ll learn - The 5 core agent patterns that actually ship: Iterative Human-in-the-Loop, Reusable Prompts, Sub-Agents, Prompt→Sub-Agent, Wrapper MCP Server (plus bonus Application Pattern) - How to avoid lock-in while still exploiting claude code advantages with sub-agents and reusable prompts - When gemini cli reusable prompts beat ad hoc prompting for repeatable outcomes - How a wrapper mcp server becomes your clean interface layer across APIs/CLIs/tools - Scaling rules of thumb: specialize, parallelize, then codify - Real-world use case: generate and refine images fast with claude code + qwen image edit via mcp server workflows Why this matters - Agent patterns are your productivity multiplier for ai coding - Reusability and specialization reduce context thrash and debugging time - Deterministic wrapper layers make your agents reliable, testable, and team-ready Who this is for - Engineers building with claude code, gemini cli, and custom mcp server tools - Teams moving from prompts to agent patterns tha