AI reviewing AI.

When you're the only human on the team, who reviews your code? Crucible is our adversarial review pipeline — multiple models debate your work the way a senior Technical Director would.

Red Team / Blue Team

Disagreement is signal.

Crucible runs your code through multiple models. One challenges (Red Team). One defends (Blue Team). When they disagree, that's where the interesting bugs live.

The Red Team (Gemini) looks for architectural mistakes, performance traps, and engine-specific anti-patterns. The Blue Team (Claude) defends valid design choices and flags false positives.

Nobody else is doing structured adversarial model debate on production game code. This is the differentiator.

Crucible adversarial review in action
5,549
Reviews
Forge evaluations completed
17
Models
Tested in adversarial review
78.6%
Pass Rate
Across all model grades
2
Modes
Quick review + deep adversarial
A real Crucible review output
What you get

A review that catches what you miss.

Architecture decisions reviewed against engine best practices. Performance implications flagged before they become production bugs. Shader code checked for platform-specific gotchas.

Crucible catches the class of bug that only shows up after you've been staring at the same code for 12 hours. Because the models haven't been staring at it for 12 hours.

Available at Pro tier and above →

The Gemini contrarian vindication story.

During development, Gemini consistently flagged issues that other models missed — architectural patterns that looked correct but would break under load. We built the entire Red Team around this insight. Disagreement between models isn't noise. It's where the bugs are.

Read the full Crucible story on our blog →