Using Agent Mode for Autonomous Coding

1. Enabling Autonomous Agent Mode

Autonomous Agent Mode allows AI assistants to independently execute coding tasks without continuous human intervention. This mode is particularly useful for repetitive or well-defined development workflows.

Configuration	Description	Default Value	Notes
agent.enabled	Enables or disables autonomous agent mode	`false`	Set to `true` to activate autonomous behavior
agent.maxTasks	Maximum number of tasks the agent can execute autonomously	`10`	Prevents infinite task loops
agent.timeoutMs	Timeout for each autonomous task in milliseconds	`30000`	Prevents long-running tasks from blocking execution

Example: Enabling Agent Mode in Configuration

{
  "agent": {
    "enabled": true,
    "maxTasks": 5,
    "timeoutMs": 15000
  }
}

Note: Agent mode should be used with caution in production environments to prevent unintended code changes or security risks.

2. Defining Task Scope for Agent Mode

Task Type	Description	Examples	Notes
Code Generation	Automatically generate code from natural language descriptions or specifications.	`// Example: Generate a React component from a description // "Create a button that changes color on hover"`	Requires clear specification of UI/UX behavior
Bug Fixing	Identify and fix bugs in existing code using context and logs.	`// Example: Fix a memory leak in a Node.js app // Input: Error logs and code snippet`	Needs access to runtime environment or logs
Refactoring	Improve code structure, readability, or performance without changing functionality.	`// Example: Convert a class-based React component to functional // with hooks`	May require understanding of design patterns
Documentation	Generate or update documentation based on code changes.	`// Example: Update JSDoc comments after API change // Input: Updated function signature`	Must align with existing documentation style

Example: Defining a Task Scope

const taskScope = {
  type: "Code Generation",
  goal: "Create a responsive dashboard layout using Tailwind CSS",
  constraints: [
    "Must use only Tailwind classes",
    "Should support dark mode"
  ],
  inputs: {
    description: "A dashboard with charts, tables, and user stats",
    designMockup: "url/to/mockup.png"
  }
};

Note: Clearly defining the scope helps agents understand expectations and avoid off-topic work.

3. Reviewing Agent-Proposed Changes

Example: Reviewing and Approving Agent Changes

// Agent proposes a change to a function
const agentChange = {
  file: "src/utils/dataProcessor.js",
  originalCode: "function process(data) { return data.map(x => x * 2); }",
  proposedCode: "function process(data) { return data.filter(x => x > 0).map(x => x * 2); }"
};

// Review and approve
if (validateChange(agentChange)) {
  applyChange(agentChange);
}

Change Type	Description	Review Status	Notes
Code Modification	`filter(x => x > 0)` added	Approved	Improves data filtering logic
Performance Impact	May increase processing time slightly	Pending	Requires benchmarking

Note: Always review agent changes before applying to production code.

Warning: Agent changes may introduce subtle bugs if not thoroughly tested.

Change Review Process

Examine proposed code for correctness
Verify impact on existing functionality
Run unit tests to confirm no regressions
Approve or reject based on validation results

4. Approving Multi-File Edits

Example: Approving Multi-File Changes

// Agent proposes changes across multiple files
const changes = {
  "src/api/users.js": {
    content: "function getUser(id) { return db.findUser(id); }"
  },
  "src/models/User.js": {
    content: "class User { constructor(name) { this.name = name; } }"
  }
};

// Developer reviews and approves
const approved = approveChanges(changes);

Change Type	Description	Status
File Operations	Agent can create, modify, or delete files	NEW
Change Scope	Multi-file modifications in single operation	NEW
Review Process	Developer must approve before applying	NEW

Note: Multi-file edits require careful review to maintain code consistency and prevent regressions.

Best Practices for Multi-File Edits

Review all proposed changes before approval
Ensure changes align with project architecture
Validate that new files don't introduce security issues

5. Configuring Auto-Approval Rules

Example: Basic Auto-Approval Rule Configuration

{
  "autoApproval": {
    "rules": [
      {
        "name": "Allow Small Code Changes",
        "condition": "codeChangeSize <= 100",
        "action": "approve"
      }
    ]
  }
}

Rule Property	Description	Values	Notes
name	Name of the rule	`string`	Used for logging and debugging
condition	Condition to evaluate	`string`	Must be a valid expression using available variables
action	Action to take if condition is met	`approve`, `reject`, `requestReview`	Controls how the agent responds to code changes

Note: Rules are evaluated in order, and the first matching rule determines the action.

Example: Advanced Rule with Multiple Conditions

{
  "autoApproval": {
    "rules": [
      {
        "name": "Approve Documentation Changes",
        "condition": "fileType === 'markdown' && changeType === 'add'",
        "action": "approve"
      },
      {
        "name": "Request Review for Large Changes",
        "condition": "codeChangeSize > 500",
        "action": "requestReview"
      }
    ]
  }
}

6. Setting Iteration and Turn Limits

Setting	Description	Default Value	Notes
maxIterations	Maximum number of times the agent can iterate on a task before stopping	`10`	Prevents infinite loops in complex tasks
maxTurns	Maximum number of turns (interactions) the agent can have in a single session	`50`	Helps manage resource usage and session length
maxStepsPerTurn	Maximum steps the agent can take in a single turn	`5`	Prevents long-running operations in one session

Example: Configuring Limits in AI Agent

const agentConfig = {
  maxIterations: 10,
  maxTurns: 50,
  maxStepsPerTurn: 5
};

7. Running Background Agents

Example: Configuring a Background Agent

const agentConfig = {
  name: "BackgroundTaskAgent",
  task: "monitorAndLog",
  schedule: "every-5-minutes",
  enabled: true
};

const agent = new Agent(agentConfig);
agent.start();

Property	Description	Default Value	Notes
name	Unique identifier for the agent	`null`	Required field
task	Function or script to run in background	`null`	Must be a valid task function
schedule	Frequency of execution (e.g., every-5-minutes)	`every-hour`	Supports cron-like syntax
enabled	Whether the agent is active	`false`	Set to `true` to start

Note: Background agents run asynchronously and do not block the main application thread.

Warning: Ensure proper resource management to prevent memory leaks in long-running agents.

Key Considerations

Agents must be explicitly enabled to start running
Scheduling can use cron expressions or predefined intervals
Background tasks should not interfere with UI responsiveness

8. Canceling and Resuming Agent Tasks

Operation	Description	Command/Action	Notes
Cancel Task	Interrupts the ongoing agent task	`agent.cancel()`	Stops execution and cleans up resources
Resume Task	Continues a previously canceled task	`agent.resume()`	Requires task state to be preserved
Task State Preservation	Stores context and progress for resumption	`{ "status": "paused", "progress": 75, "context": { "currentFile": "src/main.js", "lastLine": 42 } }`	State must be serializable and recoverable

Example: Canceling and Resuming a Task

const task = agent.startTask({
  name: "refactor-user-auth",
  steps: ["validate", "rewrite", "test"]
});

// Cancel the task
await agent.cancel(task.id);

// Resume the same task later
await agent.resume(task.id);

Note: Resuming tasks is only supported if the agent maintains state in memory or persistent storage.