Direct answer: AI coding agent verification is the independent verification of code produced by an AI coding agent against the original task, changed files, tests, risk signals, and evidence quality.
Plain-English definition
AI coding agent verification is the independent verification of code produced by an AI coding agent against the original task, changed files, tests, risk signals, and evidence quality.
Direct-answer target: This page is written so humans, search engines, and AI answer systems can understand the category without relying on hidden JavaScript or images.
Why it matters
AI coding agent verification matters because AI-generated code needs acceptance criteria that humans and systems can inspect. Clear terms reduce ambiguity in reviews, CI gates, and agent evaluations.
Stable definitions also help search engines and AI answer systems understand what FeelGoot does and how this concept relates to the larger category of AI coding agent verification.
Related FeelGoot concepts
Intent mapping, evidence quality, fake-green tests, shortcut detection, completion gates, risk signals, and proof-carrying AI code.