File Size Overall
- There are 8 files with 2,051 lines of code.
- 0 very long files (0 lines of code)
- 2 long files (1,292 lines of code)
- 1 medium size files (434 lines of code)
- 1 small files (170 lines of code)
- 4 very small files (155 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 8)
| File | # lines | # units |
|---|---|---|
| 646 | 21 | |
| 646 | 12 | |
| 434 | 21 | |
| 170 | 7 | |
| 68 | 4 | |
| 43 | 1 | |
| 22 | 1 | |
| 22 | 2 |
Large Files That Change Often (Top 6)
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 |
|---|---|---|---|---|---|
| 646 | ~3k–10k | 6 | ~50 | ~15 | |
| 434 | ~3k–7k | 5 | ~30 | ~15 | |
| 646 | ~3k–10k | 2 | ~200 | ~3 | |
| 170 | ~1k–3k | 4 | ~20 | ~7 | |
| 68 | ~300–1k | 1 | ~70 | ~1 | |
| 43 | under 1k | 1 | ~20 | ~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 8)
| File | # lines | # units |
|---|---|---|
| 434 | 21 | |
| 646 | 21 | |
| 646 | 12 | |
| 170 | 7 | |
| 68 | 4 | |
| 22 | 2 | |
| 22 | 1 | |
| 43 | 1 |
Files With Long Lines (Top 2)
There are 2 files with lines longer than 120 characters. In total, there are 7 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 646 | 12 | 6 | |
| 434 | 21 | 1 |
Correlations
File Size vs. Commits (all time): 7 points
|
|
646.0 | lines of code min: 22.0average: 289.86 25th percentile: 43.0 median: 170.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 15.0 | ||
|
commits (all time) min: 1.0 | average: 6.0 | 25th percentile: 1.0 | median: 3.0 | 75th percentile: 14.0 | max: 15.0
|
|||
File Size vs. Contributors (all time): 7 points
|
|
646.0 | lines of code min: 22.0average: 289.86 25th percentile: 43.0 median: 170.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 5.0 | ||
|
contributors (all time) min: 1.0 | average: 2.29 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 3.0 | max: 5.0
|
|||
File Size vs. Commits (30 days): 2 points
|
|
646.0 | lines of code min: 646.0average: 646.0 25th percentile: 646.0 median: 646.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 1.0 | ||
|
commits (30d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
|
|||
File Size vs. Contributors (30 days): 2 points
|
|
646.0 | lines of code min: 646.0average: 646.0 25th percentile: 646.0 median: 646.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 1.0 | ||
|
contributors (30d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
|
|||
File Size vs. Commits (90 days): 5 points
|
|
646.0 | lines of code min: 68.0average: 392.8 25th percentile: 119.0 median: 434.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 2.0 | ||
|
commits (90d) min: 1.0 | average: 1.4 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0
|
|||
File Size vs. Contributors (90 days): 5 points
|
|
646.0 | lines of code min: 68.0average: 392.8 25th percentile: 119.0 median: 434.0 75th percentile: 646.0 max: 646.0 |
|
| 0 | 1.0 | ||
|
contributors (90d) min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
|
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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