Addressing Agent Hallucinations & State Corruption (Fixes & Best Practices)

Google Antigravity
1

Is anyone else losing their mind over this? If you check the official g.dev docs, there is zero mention of this issue. Yet, developers are consistently hitting the exact same wall.

Here is the reality: Once Antigravity models reach a certain depth or complexity, they start hallucinating non-existent capabilities. They try to execute impossible commands, which quickly spirals out of control and completely corrupts the system state. Add to that the fact that models are objectively acting less logical than before.

The native backup/rollback UI is a nightmare when this happens. Since standard rollbacks get clunky, here is the manual workaround to recover your state:

  1. Halt the agent immediately before it overwrites the last good state.

  2. Manually prune the latest hallucinated actions directly from the state/context file.

  3. Force a rollback via CLI rather than relying on the UI.

How to Prevent the Hallucinations (Architectural Fixes): Since we can’t rely on the native setup to stay on track, I highly recommend implementing these architectural guardrails to keep your agents from going rogue:

  • Implement a Critic Agent: Don’t let the main agent act alone. Add a validation agent to check the command against system limits before execution.

  • Enforce Strict JSON & Tool Schemas: Stop using free-text tool descriptions. Restrict capabilities explicitly (e.g., “Can only read .txt files, cannot modify”).

  • Force the ReAct Framework: Make the prompt strictly demand: Thought -> Action -> Observation. Don’t let them execute code without internal reasoning first.

  • Context Pruning: Agents get “lost in the middle”. Don’t feed them the whole log. Use a summarizer to pass only the condensed state of previous steps.

  • Terminal Feedback Loops: Wrap executions in try-except. If a command fails, feed the exact CLI error back to the agent so it knows it failed, rather than assuming success.

  • Hardcode Temperature to 0: For autonomous tasks, creativity is your enemy. Keep it deterministic.

Why is there such a massive disconnect between the flawless ecosystem g.dev portrays and what we are actually experiencing? Has anyone found a cleaner native way to handle these state corruptions without manually editing files?