Post by Modelsteering.com

Take Control of Your AI Agents in Real-Time with Gemini CLI's "Model Steering" Ever felt frustrated when an AI agent goes off track, forcing you to stop, rewrite prompts, and restart the entire process? With the new experimental "Model Steering" feature in Gemini CLI, those days are over. Now, you can guide, correct, and provide real-time feedback to Gemini while it is actively executing a task—without interrupting its flow. What is Model Steering? It allows you to inject "steering hints" mid-task. Gemini CLI immediately acknowledges your input and injects it directly into the model’s context for the very next turn, letting it re-evaluate its plan dynamically. Common Use Cases: • Correcting a path: "Actually, the utilities are in src/common/utils." • Skipping a step: "Skip the unit tests for now and focus on the implementation." • Adding context: "The User type is defined in packages/core/types.ts." • Redirecting effort: "Stop searching the codebase and start drafting the plan now." How to Enable It: You can turn it on via the /settings command or by adding the following to your settings.json file: { "experimental": { "modelSteering": true } } This feature is ideal for complex Plan Mode workflows and long-running subagent executions. Source and Documentation: https://lnkd.in/eyJFiFpn #GeminiCLI #AI #LLM #ModelSteering #ArtificialIntelligence #SoftwareEngineering #DevTools #Coding #TechInnovation #AIagents