File Size Overall
- There are 30 files with 2,615 lines of code.
- 0 very long files (0 lines of code)
- 1 long files (700 lines of code)
- 2 medium size files (589 lines of code)
- 4 small files (523 lines of code)
- 23 very small files (803 lines of code)
Legend:
1001+
501-1000
201-500
101-200
1-100
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File Size per Extension
1001+
501-1000
201-500
101-200
1-100
File Size per Logical Decomposition
primary
Longest Files (Top 30)
| File | # lines | # units |
|---|---|---|
| 700 | 92 | |
| 381 | 9 | |
| 208 | 4 | |
| 166 | 4 | |
| 141 | 13 | |
| 114 | 3 | |
| 102 | 6 | |
| 95 | - | |
| 62 | - | |
| 61 | - | |
| 50 | 1 | |
| 49 | 3 | |
| 45 | 2 | |
| 44 | 3 | |
| 41 | 3 | |
| 40 | 2 | |
| 37 | 2 | |
| 35 | 8 | |
| 34 | - | |
| 30 | 3 | |
| 30 | 3 | |
| 29 | 1 | |
| 28 | 3 | |
| 28 | 1 | |
| 23 | 1 | |
| 11 | 2 | |
| 10 | - | |
| 10 | - | |
| 8 | - | |
| 3 | - |
Large Files That Change Often (Top 14)
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 |
|---|---|---|---|---|---|
| 381 | ~2k–7k | 7 | ~100 | ~5 | |
| 208 | ~1k–3k | 4 | ~50 | ~5 | |
| 700 | ~3k–10k | 1 | ~700 | ~1 | |
| 166 | ~1k–3k | 3 | ~30 | ~5 | |
| 95 | ~500–1.5k | 2 | ~20 | ~5 | |
| 141 | ~700–2k | 1 | ~200 | ~1 | |
| 37 | under 1k | 3 | ~10 | ~3 | |
| 102 | ~700–1.5k | 1 | ~50 | ~2 | |
| 34 | under 1k | 2 | ~30 | ~1 | |
| 62 | ~300–1k | 1 | ~70 | ~1 | |
| 50 | under 1k | 1 | ~70 | ~1 | |
| 45 | under 1k | 1 | ~50 | ~1 | |
| 29 | under 1k | 1 | ~20 | ~1 | |
| 8 | under 1k | 1 | ~5 | ~2 |
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 22)
| File | # lines | # units |
|---|---|---|
| 700 | 92 | |
| 141 | 13 | |
| 381 | 9 | |
| 35 | 8 | |
| 102 | 6 | |
| 208 | 4 | |
| 166 | 4 | |
| 114 | 3 | |
| 30 | 3 | |
| 30 | 3 | |
| 28 | 3 | |
| 41 | 3 | |
| 44 | 3 | |
| 49 | 3 | |
| 40 | 2 | |
| 11 | 2 | |
| 45 | 2 | |
| 37 | 2 | |
| 50 | 1 | |
| 23 | 1 | |
| 29 | 1 | |
| 28 | 1 |
Files With Long Lines (Top 4)
There are 4 files with lines longer than 120 characters. In total, there are 14 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 700 | 92 | 8 | |
| 141 | 13 | 4 | |
| 114 | 3 | 1 | |
| 95 | - | 1 |
Correlations
File Size vs. Commits (all time): 30 points
|
|
700.0 | lines of code min: 3.0average: 87.17 25th percentile: 28.0 median: 40.5 75th percentile: 96.75 max: 700.0 |
|
| 0 | 10.0 | ||
|
commits (all time) min: 1.0 | average: 2.43 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 3.0 | max: 10.0
|
|||
File Size vs. Contributors (all time): 30 points
|
|
700.0 | lines of code min: 3.0average: 87.17 25th percentile: 28.0 median: 40.5 75th percentile: 96.75 max: 700.0 |
|
| 0 | 4.0 | ||
|
contributors (all time) min: 1.0 | average: 1.5 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 4.0
|
|||
File Size vs. Commits (30 days): 6 points
|
|
381.0 | lines of code min: 37.0average: 156.5 25th percentile: 43.0 median: 134.0 75th percentile: 251.25 max: 381.0 |
|
| 0 | 2.0 | ||
|
commits (30d) min: 1.0 | average: 1.17 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.25 | max: 2.0
|
|||
File Size vs. Contributors (30 days): 6 points
|
|
381.0 | lines of code min: 37.0average: 156.5 25th percentile: 43.0 median: 134.0 75th percentile: 251.25 max: 381.0 |
|
| 0 | 2.0 | ||
|
contributors (30d) min: 1.0 | average: 1.17 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.25 | max: 2.0
|
|||
File Size vs. Commits (90 days): 14 points
|
|
700.0 | lines of code min: 8.0average: 147.0 25th percentile: 36.25 median: 78.5 75th percentile: 176.5 max: 700.0 |
|
| 0 | 6.0 | ||
|
commits (90d) min: 1.0 | average: 1.79 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.25 | max: 6.0
|
|||
File Size vs. Contributors (90 days): 14 points
|
|
700.0 | lines of code min: 8.0average: 147.0 25th percentile: 36.25 median: 78.5 75th percentile: 176.5 max: 700.0 |
|
| 0 | 2.0 | ||
|
contributors (90d) min: 1.0 | average: 1.29 | 25th percentile: 1.0 | median: 1.0 | 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