Google’s Conductor AI Now Reviews Code

Google has equipped its Conductor AI extension, designed for context-aware development, with a new automated review capability aimed at enhancing the safety and predictability of AI-powered engineering processes.

Revealed on February 12, this fresh Automated Review functionality extends Conductor’s capabilities beyond mere planning and execution, delving into validation. It enables the extension to produce thorough post-implementation reports concerning code quality and regulatory adherence, based on pre-established guidelines, Google stated. Conductor itself functions as a Gemini CLI extension, bringing context-driven development directly to the developer’s command line interface.

The extension transitions project understanding from transient chat conversations to enduring, version-controlled markdown documents. With its new validation prowess, Automated Review incorporates a stringent ‘verification’ phase into the development workflow; after the coding agent finalizes its assignments, Conductor is able to create a detailed post-implementation report.

Embedding safety deeply within each review process, the Conductor extension actively identifies critical vulnerabilities prior to code integration. It highlights high-risk problems like embedded API keys, potential exposure of PII (Personally Identifiable Information), or insecure input mechanisms that might render the application susceptible to injection attacks. Further capabilities of the Automated Review feature encompass:

• Code scrutiny, wherein the Conductor extension functions as a virtual peer reviewer, conducting exhaustive static and logical analysis on recently generated code files.
• Adherence to plans, where the system verifies new code’s alignment with the developer’s plan.md and spec.md documentation.
• Policy enforcement, aimed at sustaining robust code health over time.
• Validation of test suites, incorporating the complete set of tests directly into the review process.