AI-Generated Task Summary and Integrated Diff View

[474420502]

Problem Statement / Motivation

The new AI agent workspace is a fantastic feature for executing complex, multi-step tasks. The step-by-step log is great for transparency.

However, once a task is complete, reviewing the final outcome requires scrolling through the entire conversation history to piece together all the individual changes. It's difficult to get a consolidated, high-level overview of the final result, similar to how one would review a pull request.

Proposed Solution

After the AI agent completes a task, it should generate a dedicated "Task Summary" view. This view would act as a final "commit review" before the user applies the changes.

This summary view should contain two main parts:

1. AI-Generated Summary:
A concise, natural-language summary written by the AI, explaining:

• The initial goal of the task.
• The approach it took.
• A high-level overview of the key changes made (e.g., "Refactored the getStatistics method for better performance by using a Map, and updated its callers in ServiceA and ServiceB.").

2. Integrated Diff Viewer:
A clean, familiar diff view (like the "Files Changed" tab in a PR) that shows:

• A list of all modified files.
• The exact line-by-line additions (+) and deletions (-) for each file.
• This allows for a final, precise code review before accepting the work.

Example of how it might look:

🤖 Task Complete: Refactor SettlementStatistics calculations

Summary: I have successfully refactored the SettlementStatistics calculation logic. The primary change was moving the complex calculation into a new private method to improve readability and adding memoization to optimize performance for repeated calls with the same parameters.

---

Files Changed (1)

▼ UnifiedStatisticsController.java +9 -12

- // Old complex logic was here...
- result = a * b / c;
- for (int i = 0; i < 10; i++) {
-   // ... more lines
- }
+ result = calculateStatisticsWithMemoization(params);
}

+ private StatisticsResult calculateStatisticsWithMemoization(Params params) {
+   // New, cleaner implementation...
+ }

Benefits

• Improved Review Efficiency: Users can quickly understand and verify the AI's work without reading the entire execution log.
• Better Commit Messages: The AI-generated summary can be directly used or adapted for git commit messages.
• Seamless Workflow: It bridges the gap between the AI's "work-in-progress" and the final, reviewable code artifact, making the transition to a commit or PR much smoother.