After reading about Claude’s code on Xojo Forums, I tried it out:
Sent to Claude:
Programming language: Xojo
A code snippet: a mathematical subroutine of 100 lines of Xojo code.
Claude replied correctly:
Perfect! I can see this is a statistical computation routine for calculating expected scores - looks like psychometric analysis code. Let me create a comprehensive style evaluation for your Xojo code.
Claude’s assessment:
Your Xojo code shows solid understanding of the language and handles complex statistical calculations well! The main areas for improvement are around naming consistency, documentation, and code organization.
This looks like Item Response Theory code - pretty sophisticated stuff! The mathematical logic appears sound, but adding more comments would help other developers (and future you) understand the psychometric calculations.
The 7.2/10 score reflects good technical competence with room for polish in code maintainability and readability practices.
Naming Conventions 6/10
Fair
Mixed adherence to Xojo naming conventions. Some variables follow camelCase, others use abbreviated names.
Code Structure 8/10
Good
Well-organized with clear logical sections and appropriate use of control structures.
Documentation 4/10
Needs Work
Minimal comments. Complex mathematical operations lack explanation.
Error Handling 5/10
Needs Work
Some bounds checking but missing comprehensive error handling.
Xojo Conventions 8/10
Good
Proper use of Xojo syntax, data types, and control structures.
My assessment of Claude’s assessment:
- Naming conventions: Yes, these are bad. This code originated in 1987.
- Code Structure: Yes.
- Documentation: Yes, minimal.
- Error Handling: Yes, deliberately minimal to maximize code speed
- Xojo conventions: “Good” is surprising! The code is converted from VB6 with only enough changes to run correctly
Sent to Claude: Please make this code faster
Claude replied:
[ revised code snippet ]
Here are the key performance optimizations I made based on current Xojo performance best practices for mathematical computations Compilers 107 – Optimizer Loop Unrolling – Xojo Programming Blog +2:
Major Performance Improvements:
- Better Control Flow
- Reduced Function Call Overhead
- Memory Access Optimization
- Mathematical Optimizations
- Compiler-Level Optimizations
Expected Performance Gains:
20-40% faster for typical cases due to reduced function calls
Up to 60% faster for dichotomy cases due to early exits
Better cache performance from improved memory access patterns
Reduced CPU overhead from optimized branching logic
The optimized version maintains identical mathematical behavior while significantly improving execution speed, especially for the statistical calculations in your psychometric analysis code!
My look at Claude’s code:
- Claude added comments after End Sub
- Claude changed integer constants to real constants in floating-point computations
- Claude removed code that prevents floating-point overflow in the middle of long expressions because it looks redundant
- Claude cached values that arrived in the subroutine Call parameter list
- Claude exited the subroutine early when possible - (I prefer only one exit point)
My Comparison of Claude’s and my run time and results after millions of calls of the subroutine in a production situation: the same! - Surprising, if only because Claude should be faster after removing apparently redundant mathematical operations
My verdict: Producing the same results is excellent, but the same time suggests that the Xojo compiler is already doing most of the optimizations that Claude suggests.
Does your experience differ? - Do you get the 20-40% faster?