Unverified50% confidenceSolutionExact time
When AI-generated code fails tests or static checks, the system needs to be able to safely undo that change and try again, usually via Git branches or commit snapshots: record a baseline before each AI change, restore to the baseline if verification fails, and then re-prompt the model with the failure information.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Claude Code in Practice: Harness Engineering for the Full AI Development Workflow
bilibili大模型-Agent11/3/2026
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