State Machines

In our earlier architecture deep-dives, we examined how Attention Dilution cripples autonomous coding agents. As context windows swell past tens of thousands of tokens with terminal traces, compiler diagnostics, and speculative file edits, an agent’s attention mechanism degrades. Critical system constraints, architectural decision records (ADRs), and testing invariants drift into the periphery, leading to hallucinations, ignored instructions, and silent error suppression. To solve this in Google Antigravity, we built the Antigravity Attention Guard Plugin—a deterministic runtime firewall that enforces subagent delegation, sandboxed tool execution, and cryptographic ledger tracking. ...

As autonomous AI agents evolve from isolated chatbots into orchestrators of complex, multi-pass software engineering tasks, the boundaries of execution become critical. In the Antigravity ecosystem, we rely heavily on specialized subagents—like DeepCoder and DeepInvestigator—to autonomously navigate codebases, test hypotheses, and execute shell commands. But what happens when an agent hallucinates a success? What happens when a long-running subagent hangs indefinitely? How do we prevent a deeply nested execution worker from going rogue and launching its own recursive subagents? ...