Intent-Lens Shows Claude Code Actions Before Execution

A new open-source plugin called Intent-Lens has officially launched, giving developers the ability to preview Claude Code's planned actions before the AI agent executes them. Released November 2, 2026 by developer Dhananjay-JSR, the tool addresses a growing concern among engineers: understanding what autonomous AI coding agents intend to do before they modify codebases, run commands, or access files.

Transparency Gap in AI Coding Agents

Claude Code and similar AI coding assistants operate with significant autonomy, making decisions about file modifications, terminal commands, and API calls in real time. While this speed enables rapid development, it creates a transparency problem. Developers often discover changes only after they've been executed, leaving little room for intervention when an agent misinterprets instructions or takes unexpected actions.

Intent-Lens solves this by intercepting Claude Code's action queue and displaying planned operations in a preview interface. Developers see exactly which files the agent plans to modify, what commands it will run, and what data it intends to access before any execution occurs. This visibility layer transforms reactive debugging into proactive oversight.

Release Date and Availability

Officially launched on November 2, 2026, Intent-Lens is available as an open-source plugin on GitHub. The tool integrates directly with existing Claude Code installations through Anthropic's plugin architecture, requiring no modifications to core agent functionality. Developers can install and configure the plugin within minutes using standard package managers.

The launch comes as enterprises increasingly adopt AI coding agents but struggle with governance and audit requirements. Intent-Lens provides the control mechanisms necessary for teams operating in regulated environments or managing critical production systems.

How Intent-Lens Works

The plugin operates by hooking into Claude Code's action pipeline before the execution phase. When the agent formulates a plan, Intent-Lens captures the action sequence and renders it in a structured preview pane. Each action displays:

• Operation type: file write, file read, terminal command, API request, or browser action
• Target resources: specific files, directories, or endpoints
• Proposed changes: diffs for file modifications or command strings for executions
• Risk assessment: automated flagging of potentially dangerous operations

Developers can approve actions individually, batch-approve low-risk operations, or reject problematic steps entirely. The agent waits for explicit approval before proceeding, effectively creating a human-in-the-loop workflow without sacrificing the efficiency of autonomous operation for routine tasks.

Safety and Control Features

Intent-Lens includes configurable safety rules that automatically block high-risk operations pending manual review. Developers can define custom policies such as blocking all file deletions, requiring approval for external API calls, or flagging commands that modify system configurations. These rules adapt to team-specific security requirements and development workflows.

The plugin also maintains an audit log of all previewed and executed actions, providing forensic visibility for debugging sessions or compliance reviews. Teams can export logs in standard formats for integration with existing monitoring and security information systems.

What This Means

Intent-Lens represents a maturation of AI coding tools from pure automation toward supervised autonomy. As AI agents gain capabilities, the need for human oversight mechanisms grows proportionally. This plugin demonstrates that transparency and control don't require sacrificing the speed benefits of autonomous agents. Developers gain confidence to deploy Claude Code in sensitive contexts while maintaining the guardrails necessary for production environments. The open-source release ensures the broader community can adapt and extend these safety patterns as AI coding agents continue to evolve.