How I Plan, Build, and Run Loops with Claude Code in 40 Minutes | Thariq Shihipar

2026-07-19 · Source: Behind the Craft · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, extended

Summary

Thariq Shihipar, from the Claude Code team, demonstrates advanced techniques for leveraging Claude for development and non-technical tasks. He explains using the "/goal" command for tasks with verifiable end states, such as creating polished videos, and emphasizes planning with Claude to identify and eliminate unknowns, like potential failure modes of transcription tools. The discussion highlights Anthropic's practice of reducing Claude Code's system prompt by 80% for improved performance with newer models. Shihipar also details running parallel Claude tasks through Slack using Claude Tag, employing separate creator and verifier sub-agents in workflows, and utilizing HTML artifacts for design exploration and collaborative planning. The interview stresses the iterative nature of planning and implementation, advocating for human review of AI-generated plans to avoid "lazy prompting" and encouraging users to become more technical by understanding system constraints.

Key takeaway

For AI Engineers optimizing agent workflows, prioritize simplifying system prompts and skills, as newer models benefit from less constrained instructions. Implement iterative planning with Claude to proactively identify unknowns and leverage multi-agent workflows in platforms like Slack for parallel task execution and robust verification using separate creator and verifier agents. This approach enhances efficiency and output quality.

Key insights

Effective human-AI collaboration involves iterative planning, clear goal setting, and agent orchestration for complex tasks.

Principles

• Newer AI models perform better with fewer, less constrained instructions.
• Planning with AI should focus on identifying and removing unknowns before execution.
• For non-deterministic tasks, use separate creator and verifier agents to reduce bias.

Method

Utilize "/goal" with verifiable end states for complex tasks, then employ workflows with sub-agents for parallel execution and verification, iteratively refining plans with AI-generated artifacts.

In practice

• Audit existing system prompts and skills, removing deterministic instructions for newer models.
• Generate HTML artifacts with Claude for design variations and collaborative planning.
• Use Claude Tag in Slack for parallel task execution and multi-agent coordination.

Topics

• Claude Code
• AI Agent Workflows
• Prompt Engineering
• Multi-Agent Systems
• Iterative Development
• Claude Tag

Best for: NLP Engineer, AI Architect, AI Engineer, Machine Learning Engineer, Prompt Engineer

Related on AIssential

• Claude Can Make Hundreds of AI Agents Now! 🤯 — Claude Code's workflow automates complex multi-agent development, planning, and rigorous QA testing.
• How to design AI agent loops: schedules, goals, and subagents in Claude Code and Codex — AI agent loops enable autonomous, self-prompting workflows, extending automation beyond human-triggered inputs for continuous task execution.
• How to Run Coding Agents in Parallel in Claude Code — Running multiple coding agents in parallel maximizes software engineer productivity by minimizing idle time.
• Claude Code 101: A First Principles Approach — Effective Claude Code usage hinges on strategically managing context to prevent overflow and ensure persistence across sessions.
• A harness for every task: dynamic workflows in Claude Code — Claude Code's dynamic workflows enable on-the-fly multi-agent orchestration to overcome single-context AI limitations.
• Claude Coded My Python Project for 3 Hours Alone — Claude Code operates as an autonomous agent, independently developing and debugging complex Python projects with minimal human intervention.

See Counsel's argued verdicts on the open AI decisions leaders are weighing →

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Behind the Craft.