anthropics/claude-code-playground
File Size The distribution of size of files (measured in lines of code). |
File Size Overall
- There are 4 files with 840 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 2 medium size files (724 lines of code)
- 1 small files (110 lines of code)
- 1 very small files (6 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Longest Files (Top 4)
| File | # lines | # units |
|---|---|---|
| 498 | - | |
| 226 | - | |
| 110 | - | |
| 6 | - |
Large Files That Change Often (Top 3)
To change a file, an AI coding agent (or a person) has to read it: these files are read the most for the changes in the past year (lines × changes).
| File | # lines | ≈ tokens to read | # changes (1y) | ≈ lines edited per change | lines read per line changed |
|---|---|---|---|---|---|
| 498 | ~3k–7k | 2 | ~500 | ~1 | |
| 226 | ~1.5k–5k | 2 | ~200 | ~1 | |
| 110 | ~700–2k | 2 | ~100 | ~1 |
Tokens are lines × 7 to 14 (analysis.fileReadsForChanges). Lines edited per change are the file's lines added and deleted divided by its commits over the whole history. Agents read about 2,000 lines at a time: when a 17,000-line file was split into modules, the tokens an agent read for the same change fell by 83% (The Economic Benefit of Refactoring, 2026).
Files With Most Units (Top 0)
| File | # lines | # units |
|---|
Files With Long Lines (Top 2)
There are 2 files with lines longer than 120 characters. In total, there are 33 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 498 | - | 25 | |
| 226 | - | 8 |
Correlations
File Size vs. Commits (all time): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
commits (all time) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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File Size vs. Contributors (all time): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
contributors (all time) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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File Size vs. Commits (30 days): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
commits (30d) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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File Size vs. Contributors (30 days): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
contributors (30d) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
|
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File Size vs. Commits (90 days): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
commits (90d) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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File Size vs. Contributors (90 days): 3 points
|
|
498.0 | lines of code min: 110.0average: 278.0 25th percentile: 110.0 median: 226.0 75th percentile: 498.0 max: 498.0 |
|
| 0 | 2.0 | ||
|
contributors (90d) min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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About This Analysis
- File size measurements show the distribution of size of files.
- Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
- It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
- To learn more about bloaters and how to deal with long code structures, Sokrates recommends the following resources:
- Refactoring bloaters, sourcemaking.com
- The Blob Software Development Anti-Pattern, sourcemaking.com