Render Performance Fixer

Goal

Reduce UI lag by improving rendering performance

How to Run

Activate this agent in your IDE to automatically identify and fix rendering performance bottlenecks. The agent will profile your application, apply targeted optimizations, and verify improvements through FPS benchmarking until your target frame rate is reached.

1. 01

   Start the agent

   Run the kickoff prompt in your coding environment to begin the performance optimization process

2. 02

   Profile initial performance

   The agent will run an FPS benchmark to establish baseline performance metrics

3. 03

   Apply optimizations

   Based on profiling data, the agent will implement targeted rendering improvements

4. 04

   Verify improvements

   Each optimization is followed by another benchmark to measure progress toward the target FPS

5. 05

   Iterate until target reached

   The process repeats up to 10 times or until the desired frame rate performance is achieved

Workflow Steps

1. 01

   Performance Profiling

   Run FPS benchmark and analyze rendering performance data to identify bottlenecks

2. 02

   Bottleneck Identification

   Examine profiling results to determine root causes of UI lag (e.g., excessive re-renders, heavy computations)

3. 03

   Optimization Implementation

   Apply targeted fixes such as memoization, virtualization, debouncing, or efficient rendering patterns

4. 04

   Validation Testing

   Execute FPS benchmark to verify performance improvements after each optimization

5. 05

   Progress Assessment

   Compare current FPS against target and decide whether to continue iterating or exit

Start the "Render Performance Fixer" loop.

Goal: Reduce UI lag by improving rendering performance
Max iterations: 10
Between iterations run: fps benchmark
Exit when: FPS target achieved


Begin performance optimization process: Profile the application's render performance, identify UI bottlenecks causing lag, implement optimizations iteratively, and verify improvements with FPS benchmarks until target frame rate is achieved.

Self-pace this loop. After each iteration, run `fps benchmark` and evaluate the output, and only continue if the exit condition is not met (FPS target achieved). Stop when the exit condition passes or 10 iterations are reached. Give a short status update each pass.