Significant Productivity Boost Using AI Agent Mode for Development Tasks
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Summary
A developer shares their experience of achieving a 5x productivity improvement by switching to agent mode in an AI coding assistant (likely Cursor). The system successfully handles multiple development tickets autonomously, including test creation, error fixing, and plan verification, with minimal human intervention required.
Prompt
Create a development workflow that: 1. Takes a development ticket as input 2. Generates a comprehensive implementation plan including test cases 3. Implements the required changes 4. Creates and runs tests 5. Fixes any errors or issues found 6. Verifies implementation against original requirements 7. Suggests areas for code review and documentation The workflow should maintain a balance between automation and human oversight, allowing for corrections and guidance as needed.
Best Practices
Plan Before Implementation
Create a comprehensive plan before starting implementation
Verify Plan Completion
Review the original plan against completed work to ensure all requirements are met
Include Post-Implementation Reviews
Conduct code reviews and create documentation after implementation
Common Mistakes to Avoid
Don't Skip Human Oversight
Avoid letting AI work completely autonomously without supervision
Don't Omit Verification Steps
Avoid assuming AI has completed all requirements without verification
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