Direct answer: Autonomous software verification checks the output of software-making agents before that output is trusted, merged, or shipped. FeelGoot focuses on verification for AI coding workflows: intent match, evidence quality, risk signals, and completion gating.
The new control point
Engineering teams are moving from autocomplete to delegated coding tasks. That makes the control point less about who typed the code and more about whether the result is safe to accept.
Autonomous verification gives teams a repeatable boundary between generated work and accepted work.
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Verification inputs
Task description, acceptance criteria, changed files, tests, dependency changes, CI results, review comments, and risk policies.
FeelGoot organizes these inputs into a decision report that reviewers can challenge, approve, or send back.
High-risk areas
Authentication, authorization, billing, infrastructure, customer data, migrations, compliance workflows, and incident response tasks deserve stricter evidence thresholds.