# A Feedback-Driven Agent Pattern for Self-Repairing AI Workflows

DevFeed: [A Feedback-Driven Agent Pattern for Self-Repairing AI Workflows](<https://devfeed.tech/articles/how-to-build-ai-agents-that-fix-themselves-without-bigger-prompts-more-context-or-another-llm-22635.md>)

Original publisher: [Read original article](<https://www.wix.engineering/post/how-to-build-ai-agents-that-fix-themselves-without-bigger-prompts-more-context-or-another-llm>)

Author: Wix Engineering

Published: 2026-07-16T06:17:34Z

Content type: tutorial

Language: en

Sources: [Wix Engineering](<https://devfeed.tech/sources/wix-engineering.md>)

Topics: [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Code](<https://devfeed.tech/topics/code.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [integrity](<https://devfeed.tech/topics/integrity.md>)

Tags: [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [code](<https://devfeed.tech/tags/code.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [validation](<https://devfeed.tech/tags/validation.md>)

## AI overview

This tutorial proposes a Feedback-Driven Agent pattern for building self-repairing AI agent workflows. It separates deterministic structural validation from goal-based assessment: agents produce artifacts, programmatic checks identify failures, and structured error reports route the agent toward repair.

## Source excerpt

Every developer building with AI agents eventually hits the same wall. You write a masterpiece of a system prompt, loaded with rules, edge cases, and brand guidelines. It works perfectly... until you add one more rule. Suddenly, the agent gets "context fatigue," ignores half your instructions, and hallucinates a creative but entirely broken solution. We need to stop trying to make agents perfect on the first try. Instead, we suggest a new architectural approach: organizing agentic workflows...