Google has recently launched an open-source preview extension called Conductor. As a powerful complement to Gemini CLI, Conductor aims to tackle the most challenging "context loss" issue in AI programming, making AI development suggestions no longer fleeting fragments but systematic and highly coherent solutions.

Core Breakthrough: From Fragment Generation to Structured Workflow

The core logic of Conductor lies in transforming loose AI code generation behavior into rigorous, structured automation workflows:

Persistent Context: It stores key information such as product knowledge and technical constraints as Markdown files, ensuring that AI behavior remains consistent and reproducible across different stages.

Lifecycle Management: It strictly follows the development cycle of "context → specification and plan → execution," automatically generating corresponding configuration files, significantly reducing errors caused by human intervention.

Introduction of the Tracks Concept: By enforcing a predefined plan, it ensures that AI agents do not deviate from the main path during complex development tasks.

Collaboration Upgrade: Transparency and Universality

Open Source Ecosystem: Conductor is open-sourced under the Apache 2.0 license, encouraging the developer community to jointly improve AI collaboration standards.

Multi-Scenario Applicability: Whether starting from scratch or dealing with complex existing codebases, Conductor can be effectively integrated, improving the transparency of code maintenance.

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