How Infisical Uses Greptile for AI Code Review

Infisical describes using Greptile, an AI code review platform, to review changes in its open-source security infrastructure repository, where it had commented on more than 2,800 pull requests by August 2026. The company argues that security-focused reviews require repository-wide context because small changes can affect distant authorization checks, integrations, credential scopes, and downstream services. Greptile analyzes pull requests alongside callers, dependencies, shared modules, internal APIs, and repository documentation, allowing it to identify issues beyond the changed lines and enforce established engineering conventions. Infisical tuned the tool’s strictness, finding categories, file exclusions, severity labels, and presentation to reduce unnecessary comments and encourage engineers to examine findings. Engineers can decline or correct findings, and those corrections can become persistent repository rules, enabling the reviewer to adapt to codebase-specific practices over time. The company positions this approach as a way to expand review capacity as AI coding agents increase software output, while maintaining independent checks on both generated code and agent access; Greptile also uses Infisical to provide its own review agents with scoped, read-only secret access.

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