Loop Engineering is the strategy of connecting an AI model to an environment through continuous feedback loops. Instead of making blind guesses, the AI inspects real evidence, sets safety boundaries, tests its own actions, and remembers past mistakes.
Click any stage in the interactive loop diagram below to see how Antigravity guides AI agents through an orderly, secure cycle of observation, planning, action, verification, and memory.
The AI starts every task by gathering real, objective facts from the environment:
Antigravity uses four distinct feedback loops operating across different timeframes to keep work safe, focused, and accurate.
Instant feedback for routine tasks (e.g. AI proposes a small change → system checks syntax → AI fixes any immediate typos). Think of it like smart auto-correct for complex workflows.
The primary AI delegates heavy research or risk-heavy experiments to specialized helper AI assistants running safely inside isolated sandboxes, protecting the main workspace.
When the AI receives a correction or hits a failure, it records the anti-pattern in tasks/lessons.md. This permanent memory automatically constrains all future AI actions.
Background timers and health checkers monitor long-running operations or remote cloud deployments, automatically alerting the AI if something stalls or fails.
Core security and operational principles for controlling autonomous AI agents safely in enterprise settings.
Never let an AI guess why an issue happened. Force the AI to inspect raw system logs and evidence before making any changes.
Every autonomous loop must have clear stopping rules and boundaries to prevent the AI from repeating an action endlessly or making unapproved changes.
Keep the main AI's workspace clean and secure by letting helper assistants handle exploratory background tasks inside isolated sandbox environments.
Never take the AI's word that a task is complete. Require empirical proof—such as passing automated security checks and system health tests—before accepting a result.
Step through a plain-language scenario: Fixing a Security & Rate-Limiting Defect in a Customer Portal without interrupting live operations.
Watch autonomous AI agent loops resolve incoming system tasks in real-time. Adjust the safety controls and speed below to see how helper assistants, guardrails, and memory retention impact task resolution.
Inspect → Plan → Act → Verify → Remember.