• VERIFIED
  • MISSING
  • PENDING
  • HUMAN

How to audit code refactoring completeness with your AI

Connect this MCP to your AI client once. From then on, your agent handles the heavy lifting of verifying that your changes actually meet the original requirements.

Ask AI about this page

Short answer

How do I check if my refactoring is actually done?

Your AI compares your new code against the original task requirements and scans for leftover TODO comments or unfinished logic. You get a clear breakdown of what's finished and what still needs attention.

Audit results.

Where every issue lands.

The AI categorizes every finding so you know exactly where to focus.

VERIFIED

Complete tasks

The AI confirms that the refactored logic matches the original intent. You get peace of mind that nothing broke during the move.

MISSING

Dropped functionality

The AI identifies specific logic or edge cases from the original task that didn't make it into the new version. You'll see exactly what was lost.

PENDING

Unfinished logic

The AI flags TODO comments or incomplete code blocks. This prevents half-baked changes from slipping into your main branch.

HUMAN

Manual review needed

The AI highlights ambiguous areas where the logic is technically complete but looks suspicious. You decide if these need a second look.

The workflow

What your AI does when the task arrives.

Your agent uses specific tools to tear through your changes and find the gaps.

  1. Compare logic

    The AI looks at the original requirements and compares them to your current codebase to find discrepancies.

    validate_task_completion

  2. Scan for TODOs

    The agent crawls your files to find any developer notes or unfinished implementation markers left in the code.

    validate_task_completion

  3. Verify completeness

    The AI runs a final check to ensure every part of the original request has a corresponding implementation.

    validate_task_completion

  4. Report gaps

    The AI organizes its findings into a list of what is done, what is missing, and what needs your eyes.

    validate_task_completion

Try it

Copy these to start.

Use these prompts to kick off an audit immediately.

Starting points

These are opening lines. Swap out the bracketed text for your specific file paths or repository names.

Task Completion Enforcer Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Task Completion Enforcer Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "task-completion-enforcer-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_TRZuombSa31k5jscX1KCJ089zhMtfMmLCTAbBgKK/mcp"
    }
  }
}
Copy into chat04

  • Audit the refactoring in [path/to/file] and tell me if I missed any original requirements.

  • Check [repo_name] for any TODO comments or unfinished logic left over from my last commit.

  • Compare my changes in [branch_name] against the original task description to ensure no functionality was dropped.

  • Review the refactored code in [directory] and list any logic gaps you find.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Task Completion Enforcer Prover once, then ask.

Just click the link to connect the MCP to your client. Your credentials stay encrypted, and you can start auditing right away.

Connect Task Completion Enforcer Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically fix the missing logic?

    No. The AI identifies what is missing or incomplete, but you must write the actual code fixes yourself.

  • 02

    Does the AI change my source code?

    No. The AI only reads your code to perform the audit. It cannot write, delete, or modify your files.

  • 03

    How does it know what the original task was?

    It relies on the context you provide in your prompt, such as the original requirements or the task description.

  • 04

    Can it find TODO comments in files I haven't opened?

    Yes, as long as the AI has access to the directory or repository you specify in your prompt.

  • 05

    Will it flag every single comment as a TODO?

    No. It specifically looks for comments that indicate unfinished work or pending implementation.

  • More questions about Task Completion Enforcer Prover? The Connector page answers them. See everything the Task Completion Enforcer Prover Connector can do

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