Not every engineering task requires a 2-trillion-parameter reasoning powerhouse. Firing up a heavyweight model to format a JSON file or rename CSS classes is like hiring an executive architect to paint a fence. Sovereign engineering means matching the model tier to the cognitive load.
Speed is a feature. Cost is a constraint. Reserve deep reasoning for architectural trade-offs, security validation, and multi-system integration; route mechanical tasks to lightning-fast sub-tiers.
1. The Four Intelligence Tiers
inherit(Default): Matches the parent orchestrator model. Ensures full cognitive parity when continuing high-level development tasks.pro: The apex tier. Maximum reasoning capacity, deep contextual synthesis, complex multi-file refactoring, and root-cause failure analysis.flash: High throughput and balanced reasoning. Ideal for code search, reading documentation, writing unit tests, and drafting component scaffolding.flash_lite: Sub-second response time. Designed for deterministic lookups, syntax linting, JSON schema formatting, and log filtering.
2. Workload Allocation Matrix
| Engineering Task | Recommended Tier | Thinking Effort | Rationale |
|---|---|---|---|
| Full-Stack Architecture Planning | pro | 0.8 – 1.0 | Requires anticipating systemic trade-offs and failure modes. |
| Deep Bug RCA & Memory Leaks | pro | 0.6 – 0.9 | Needs complex multi-step reasoning across stack traces. |
| Unit Test Scaffolding | flash | 0.3 – 0.5 | Fast execution against defined input/output boundaries. |
| Schema Validation & Linting | flash_lite | None (0.0) | Deterministic; zero deep deliberation required. |
3. Calibrating Thinking Effort
Antigravity features a reasoning calibration slider (thinking effort). When set between 0.1 and 0.4, the model delivers immediate, low-latency code execution. When increased to 0.7 to 1.0, the engine performs internal chain-of-thought hypothesis testing, verifying edge cases before generating a single line of code.
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