The Conductor extension now can generate post-implementation code quality and compliance reports based on developer specifications. Credit: Shutterstock/Wanan Wanan Google’s Conductor AI extension for context-driven development has been fitted with a new automated review feature intended to make AI-assisted engineering safer and more predictable. Announced February 12, the new Automated Review feature allows the Conductor extension to go beyond planning and execution into validation, generating post-implementation reports on code quality and compliance based on defined guidelines, said Google. Conductor serves as a Gemini CLI extension designed to bring context-driven development to the developer’s terminal. It shifts project awareness out of ephemeral chat logs and into persistent, version-controlled markdown files. Automated Review, with the new validation capability, introduces a rigorous “verify” step to the development lifecycle; once the coding agent completes its tasks, Conductor can generate a comprehensive post-implementation report. With safety integrated into the core of every review, the Conductor extension scans for critical vulnerabilities before code is merged. High-risk issues are flagged such as hardcoded API keys, potential PII (Personally Identifiable Information) leaks, or unsafe input handling that could expose the application to injection attacks. Additional Automated Review capabilities cited include: Code review, where the Conductor extension acts as a peer reviewer, performing deep static and logic analysis on newly generated files. Plan compliance, where the system checks new code against the developer’s plan.md and spec.md files. Guideline enforcement, to maintain long-term code health. Test suite validation, integrating the entire test suite directly into the review workflow. Artificial IntelligenceGenerative AISoftware DevelopmentCode Security