Type: url
Status: generated
Language: en
Summary
A workflow chapter of the Claude Code Ultimate Guide repository on GitHub that presents iterative refinement — prompt, evaluate the output, give specific feedback, repeat — as the core loop of AI-assisted development. It covers effective and ineffective feedback patterns, autonomous loops with explicit completion criteria and iteration limits, how to support the loop with Claude Code’s task tool, hooks, /compact and checkpoints, a 3–7 iteration pattern for script generation, and anti-patterns such as a moving target, a perfectionism loop and lost context. It also describes a bounded review auto-correction loop (review, fix, re-review within a fixed budget, with acceptance requiring evidence) and community patterns built on the loop, including a test-at-a-time Ralph loop, Stop-hook verification and a structured escalation path.