OptimizationFocus Decorator¶

Guides targeted optimization efforts with specific constraints and goals.

Category: Systematic Debugging

Parameters¶

Target Options¶

• performance: Focus on optimizing overall execution speed and responsiveness.
• memory: Focus on reducing memory usage and improving memory management.
• network: Focus on optimizing network requests, reducing payload sizes, and improving caching strategies.
• size: Focus on reducing the overall size of the application or its assets.
• mobile: Focus on optimizing specifically for mobile device constraints and capabilities.

Constraints Options¶

• no-visual-changes: Ensure that no visual changes occur as a result of the optimization.
• no-functional-changes: Ensure that the functionality remains identical after optimization.
• both: Ensure that neither visual appearance nor functionality changes during optimization.
• minimal-changes: Allow minimal changes to appearance or functionality if they significantly improve optimization outcomes.

Approach Options¶

• profiling: Use profiling tools to identify bottlenecks and optimization opportunities.
• code-review: Perform a systematic code review to identify inefficiencies and improvement opportunities.
• algorithm-improvements: Focus on improving the underlying algorithms and data structures.
• resource-management: Focus on better management of system resources like memory, disk, and network.

Examples¶

Optimizing a web application for performance¶

+++OptimizationFocus(target=performance, constraints=no-functional-changes, approach=profiling)
How can I improve the loading time of my e-commerce website?

The model will provide optimization suggestions focused on performance, ensuring functionality doesn't change, using profiling-based approaches.

Mobile optimization with code review¶

+++OptimizationFocus(target=mobile, constraints=no-visual-changes, approach=code-review)
Review this React Native code for my mobile app.

The model will review the code specifically looking for mobile optimization opportunities while preserving the visual design.

Memory optimization with algorithm improvements¶

+++OptimizationFocus(target=memory, constraints=minimal-changes, approach=algorithm-improvements)
How can I reduce the memory usage of this data processing function?

The model will suggest algorithm improvements to reduce memory usage, allowing for minimal changes to functionality if necessary.

Model-Specific Implementations¶

gpt-4-turbo¶

Instruction: I need you to help optimize an application with these specific requirements:

Notes: More direct instruction works better with this model.

claude-3-7-sonnet-latest¶

Instruction: Please analyze the following for optimization opportunities, focusing on the specified target and constraints:

Notes: Claude benefits from a more analytical framing.

Implementation Guidance¶

Web application optimization¶

Original Prompt:

How can I make my React application faster?

Transformed Prompt:

Focus on optimizing overall execution speed and responsiveness. Ensure that the functionality remains identical after optimization. Use profiling tools to identify bottlenecks and optimization opportunities.

How can I make my React application faster?

Notes: The decorator adds specific optimization guidance before the original question.

Mobile app optimization¶

Original Prompt:

Review this code for my Android app and suggest improvements.

Transformed Prompt:

Focus on optimizing specifically for mobile device constraints and capabilities. Ensure that no visual changes occur as a result of the optimization. Perform a systematic code review to identify inefficiencies and improvement opportunities.

Review this code for my Android app and suggest improvements.

Notes: Parameters target=mobile, constraints=no-visual-changes, and approach=code-review are applied.

Transformation Details¶

Base Instruction: Optimize the application with a focus on improving its efficiency and performance.

Placement: prepend

Composition Behavior: accumulate

Parameter Effects:

• target:
• When set to performance: Focus on optimizing overall execution speed and responsiveness.
• When set to memory: Focus on reducing memory usage and improving memory management.
• When set to network: Focus on optimizing network requests, reducing payload sizes, and improving caching strategies.
• When set to size: Focus on reducing the overall size of the application or its assets.

• When set to mobile: Focus on optimizing specifically for mobile device constraints and capabilities.

• constraints:

• When set to no-visual-changes: Ensure that no visual changes occur as a result of the optimization.
• When set to no-functional-changes: Ensure that the functionality remains identical after optimization.
• When set to both: Ensure that neither visual appearance nor functionality changes during optimization.

• When set to minimal-changes: Allow minimal changes to appearance or functionality if they significantly improve optimization outcomes.

• approach:

• When set to profiling: Use profiling tools to identify bottlenecks and optimization opportunities.
• When set to code-review: Perform a systematic code review to identify inefficiencies and improvement opportunities.
• When set to algorithm-improvements: Focus on improving the underlying algorithms and data structures.
• When set to resource-management: Focus on better management of system resources like memory, disk, and network.

Compatibility¶

• Requires: None
• Conflicts: None
• Compatible Models: gpt-4o, gpt-4-turbo, claude-3-7-sonnet-latest, llama-3.2
• Standard Version: 1.0.0 - 1.5.0

Related Decorators¶

• CodeReview: Enhances OptimizationFocus OptimizationFocus can enhance CodeReview by adding specific optimization targets and constraints.
• PerformanceAnalysis: Enhances OptimizationFocus Combines well with PerformanceAnalysis for more comprehensive optimization guidance.