Chat Mode
Learn and discuss without changing code.
Mental Model: Talking to a knowledgeable colleague.
Best For: Explaining concepts, comparing approaches, and code review discussions.
Agent
Quick Start
Get started with Planto AI's Agent mode to automatically implement code changes, fix bugs, and run commands using AI-powered tools that can modify your codebase based on natural language instructions.
Agent mode equips the Chat model with the tools needed to handle a wide range of coding tasks, allowing the model to make decisions and save you the work of manually finding context and performing actions.
Learn how to choose the right mode
Plan Mode
Safely explore and plan with read-only tools.
Mental Model: An architect surveying before renovation.
Best For: Understanding a codebase, investigating bugs, and planning implementations.
Agent Mode
Make actual changes with full tool access.
Mental Model: A contractor executing approved blueprints.
Best For: Implementing features, fixing bugs, and running tests and commands.
How to Use Agent Mode
You can switch to Agent in the mode selector below the chat input box. The mode selector offers three options:
- Chat mode: No tools available, pure conversation.
- Plan mode: Read-only tools for safe exploration and planning.
- Agent mode: All tools available for making changes.
How to Chat with Agent Mode
Agent mode lives within the same interface as Chat mode, so the same input is used to send messages. You can still provide context manually using @ context providers or by pasting highlighted code snippets from the editor.
How to Use Natural Language with Agent mode
With Agent mode, you can provide natural language instruction and let the model do the work. As an example, you might say Set the @typescript-eslint/naming-convention rule to “off” for all eslint configurations in this project Agent mode will then decide which tools to use to get the job done.
How to Give Agent Mode Permission
By default, Agent mode will ask permission when it wants to use a tool. Click Accept to allow Agent mode to proceed with the tool call or Cancel to reject it.
How to View Tool Responses
Any data returned from a tool call is automatically fed back into the model as a context item. Most errors are also caught and returned, so that Agent mode can decide how to proceed.