aiqbench analysis
This article details Conductor, a Gemini CLI extension that addresses critical context limitations in AI-assisted coding by persisting project specifications and architecture within Markdown files rather than ephemeral chat sessions. By shifting from stateless interactions to Context-Driven Development (CDD), the tool aims to reduce technical debt caused by agents generating plausible but architecturally inconsistent code across multiple files.
Getting Started with Conductor for Gemini CLI

Conductor is a Gemini CLI extension built to fix your context problems. Learn all about it here.
When you open Gemini CLI, describe a feature you need to build, and the agent immediately starts writing code. No questions, no clarifications, no plan. Ten minutes later, you have a hundred lines of implementation across four files and none of it matches your actual architecture because the agent never knew your architecture. It made plausible guesses. Some were right. Most weren't. Now you're untangling AI-generated code while wondering if it would have been faster to just write it yourself. That's not a Gemini problem. That's a context problem. The agent doesn't know what you're building, what libraries you've chosen, what your coding standards are, or what the feature is actually supposed to do. Every session starts from zero. Conductor, released in preview on December 17, 2025, is a Gemini CLI extension built to fix this. It introduces a workflow called Context-Driven Development (CDD), a structured approach where your project context, specs, and implementation plans live in Markdown files inside your repository, not inside an ephemeral chat window. The agent reads those files every time it touches your project. Your style guides, your tech stack decisions, your product goals — all of it persists and travels with the code. Since…
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