doubt-driven-development

To catch critical decision bugs before production, apply a structured 5-step doubt cycle with adversarial fresh-context review. This process validates non-trivial decisions like complex logic implementation and cross-module changes before release.

Adversarial code review prevents unstated assumptions by invoking isolated reviewers to catch hidden coupling, contract violations, and unhandled edge cases that the original developer missed due to contextual bias accumulated during long sessions.

Validate non-trivial software engineering decisions when committing complex conditional logic, making cross-service architectural changes, deploying security-sensitive features, or working with unfamiliar codebases to catch issues when they are cheap to fix.

Validate high-risk production deployments using a structured doubt cycle with bounded loop guardrails. This validates critical decisions through claim formulation, artifact extraction, and finding reconciliation to ensure thorough error prevention.

Cross-model escalation support avoids shared blind spots during security-sensitive changes by optionally using external AI model CLIs. This provides an isolated perspective to catch issues the primary model missed.

The best way to prevent irreversible data changes in unfamiliar codebases is applying an adversarial fresh-context review process. This catches contract violations and hidden coupling before deployment through isolated validation.