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FeelGoot FAQ: plain answers for humans and AI search.

Answers about FeelGoot, AI coding agent verification, evidence reports, fake-green tests, intent drift, and CI completion gates.

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Direct answer: FeelGoot is an evidence layer for AI coding agents. It verifies AI-generated code against intent, changed files, test evidence, shortcut risk, and acceptance criteria before the work is treated as done.

Quick answer

FeelGoot does not try to be the coding agent. It is the independent layer that checks whether a coding agent’s result deserves trust.

The category is AI coding agent verification. Related categories include AI-generated code review, CI completion gates, agent evaluation, evidence reports, and software verification for autonomous coding workflows.

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.

Who it is for

Engineering teams using coding agents, platform teams building agent infrastructure, AI agent builders, high-assurance software teams, and leaders who need a safer adoption path for AI-generated code.

Related pages

AI coding agent verification → AI-generated code review → Evidence report → Glossary → Request access →

FAQ

Direct answers.

What is FeelGoot?

FeelGoot is an evidence layer for AI coding agents. It checks AI-generated work against task intent, repository changes, tests, and risk signals before acceptance.

What problem does FeelGoot solve?

FeelGoot helps teams catch fake-done AI coding work: intent drift, fake-green tests, stubs, mocks, hardcoded success, missing evidence, and risky code patterns.

Is FeelGoot a coding agent?

No. FeelGoot verifies the work produced by coding agents.

What is an evidence report?

An evidence report is a structured receipt showing what changed, what was requested, what evidence exists, what remains unknown, and whether the work should be accepted.

What are fake-green tests?

Fake-green tests pass without proving the requested behavior, often because they are shallow, skipped, over-mocked, or shaped around generated code.

What is intent drift?

Intent drift is when an AI coding agent solves a nearby problem instead of the actual task.

Can FeelGoot replace human review?

No. It makes human review more focused by surfacing evidence, risks, and blockers.

Where does FeelGoot fit?

FeelGoot is designed to sit near coding agents, pull requests, CI, code review, agent evaluations, and high-assurance software workflows.

Give AI coding agents an evidence gate.

Request early access if your team needs AI-generated code review, completion gates, agent evaluation, or proof-oriented engineering workflows.

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