How to Create Powerful Loops in Claude Code | Towards Data Science

Abstraction: Using /goal command to create self-verifying autonomous coding agent loops

Key points:

• The /goal command in Claude Code and Codex implements a post-completion hook that makes the agent reflect on whether the goal was achieved and continue working if not
• Effective loops require giving the agent a verification mechanism; author uses Playwright MCP for end-to-end browser testing rather than just code review
• Cross-agent review: Claude Code implements, then Codex reviews and must approve before merging — iterative until approval, reducing bugs significantly
• Loops allow multiple parallel agents (A, B, C...) to run autonomously without constant human check-ins, multiplying throughput
• The pattern can be extended to larger loops that orchestrate smaller loops and self-improvement loops

Connections: Claude Code · Anthropic · Agentic Coding · AI Agents

Source: https://towardsdatascience.com/how-to-create-powerful-loops-in-claude-code/