# Cursor 2.2 Debug Mode Fixed My Bugs Automatically (Multi-Agent Features)

Source: https://www.youtube.com/watch?v=ejRcMxeU0oc
Recap page: https://rapidrecap.app/video/ejRcMxeU0oc
Generated: 2025-12-11T06:33:18.296+00:00

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## Quick Overview

Cursor version 2.2 introduces significant updates including Debug Mode, Plan Mode improvements with inline Mermaid diagrams, Multi-Agent Judging, and Pinned Chats, demonstrated by automatically debugging a key mismatch error in an evaluation pipeline and implementing a major feature enhancement for concurrent test execution.

**Key Points:**
- Cursor 2.2 released new features: Debug Mode for reproducing and fixing tricky bugs using runtime logs, Plan Mode enhancements supporting inline Mermaid diagrams, Multi-Agent Judging, and Pinned Chats.
- Debug Mode successfully identified and fixed a key mismatch bug where LLMJudge.evaluate() returned 'quality_score' but HybridEvaluator accessed 'score' in three locations, resolving a KeyError.
- Plan Mode improvements allow agents to generate and stream visuals like Mermaid diagrams directly into their plans, as demonstrated when planning feature enhancements for the PraisonAI Bench project.
- Multi-Agent Judging was shown where two agents (Gemini 3 Pro and Opus 4.5) collaborated to build a feature implementation plan, with the user selecting the preferred model output for the task.
- The parallel/concurrent test execution feature was implemented in PraisonAI Bench, resulting in a 3.3x speedup (7.93s vs 26.25s for 4 tests) compared to sequential execution.
- Pinned Chats allow users to keep important conversations visible in the agent sidebar at the top for quick future reference, demonstrated by pinning the feature implementation chat.

![Screenshot at 00:00: The initial screen displays the changelog announcement for Cursor 2.2, highlighting Debug Mode, Plan Mode Improvements, Multi-Agent Judging, and Pinned Chats.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-00-00.png)

**Context:** This video serves as a changelog walkthrough for Cursor version 2.2, presented by a developer showcasing new AI coding assistant features. The presenter focuses on demonstrating how these new capabilities—especially Debug Mode and enhanced Plan Mode—streamline complex development tasks like debugging subtle errors and architecting significant code improvements within a hypothetical project called PraisonAI Bench.

## Detailed Analysis

The video details the major updates in Cursor version 2.2, beginning with Debug Mode. Debug Mode instruments code, captures runtime logs during reproduction, and fixes the root cause, allowing users to verify fixes precisely. The presenter demonstrates this by using Debug Mode to find a bug in the PraisonAI Bench project: a key mismatch between 'quality_score' output from LLMJudge.evaluate() and the 'score' key expected by HybridEvaluator in three different locations. The agent successfully generated hypotheses, instrumented the code, confirmed the bug, and applied fixes to all three locations, ensuring backward compatibility by falling back to 'score' if present.

Next, the presenter explores Plan Mode improvements, noting support for inline Mermaid diagrams, allowing agents to visualize plans directly in the document. The presenter then tasks an agent with exploring new feature additions for the PraisonAI Bench project, resulting in a plan document detailing high-priority features like Parallel/Concurrent Test Execution. The agent used two models (Gemini 3 Pro and Opus 4.5) simultaneously in Multi-Agent Judging to generate this plan.

The parallel execution feature was then implemented by the agent, which involved updating CLI arguments, adding imports for concurrent futures, and modifying the test execution logic. Benchmarking confirmed the feature's success: sequential execution took 26.25 seconds, while parallel execution with 4 workers took only 7.93 seconds, achieving a 3.3x speedup. Finally, the presenter demonstrates Pinned Chats, showing how important conversations can be pinned to the top of the agent sidebar for easy access.

### New Feature

- Debug Mode: Helps reproduce and fix tricky bugs by capturing runtime logs
- Agent instruments code, captures logs during reproduction, fixes the root cause
- User maintains control via 'Verify the fix yourself' option.

### Plan Mode Enhancements

- Now supports inline Mermaid diagrams for visualizing plans
- Agent used multi-agent judging (Gemini 3 Pro + Opus 4.5) to create a plan for implementing parallel test execution.

### Feature Implementation

- Parallel/Concurrent Test Execution for PraisonAI Bench
- Reduced sequential test time from 26.25s to 7.93s (3.3x faster) using 4 concurrent workers.

### Agent Collaboration

- Multi-Agent Judging allows selecting between agent outputs (e.g., Gemini 3 Pro vs Opus 4.5) when building plans or generating code.

### New Feature

- Pinned Chats: Allows pinning important chats to the top of the agent sidebar for future reference
- Demonstrated by pinning the 'Implement parallel test execution' chat.

![Screenshot at 00:01: Demonstration of selecting 'Debug' mode in the chat input dropdown, indicating the start of a debugging session.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-00-01.png)
![Screenshot at 00:04: The Plan Mode interface showing an agent generating a multi-step plan, with an embedded diagram, illustrating the support for visual outputs in plans.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-00-04.png)
![Screenshot at 00:11: The initial pop-up detailing the Debug Mode feature, which fixes trickiest bugs by instrumenting code and capturing runtime logs.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-00-11.png)
![Screenshot at 00:51: The agent's thought process detailing the five hypotheses generated to diagnose the key mismatch bug between LLMJudge.evaluate\(\) and HybridEvaluator.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-00-51.png)
![Screenshot at 01:43: The final test output showing successful verification: 'Fix verified: llm\_score = 80', 'All debug instrumentation removed', and 'Minimal fix applied to 3 locations'.](https://ss.rapidrecap.app/screens/ejRcMxeU0oc/00-01-43.png)
