openai/openai-responses-starter-app
File Size The distribution of size of files (measured in lines of code). |
File Size Overall
- There are 56 files with 3,585 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 3 medium size files (1,065 lines of code)
- 4 small files (554 lines of code)
- 49 very small files (1,966 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 50)
| File | # lines | # units |
|---|---|---|
| 482 | 1 | |
| 327 | - | |
| 256 | 1 | |
| 195 | 4 | |
| 126 | - | |
| 121 | - | |
| 112 | - | |
| 96 | - | |
| 94 | - | |
| 94 | 3 | |
| 85 | - | |
| 83 | - | |
| 81 | 1 | |
| 78 | - | |
| 75 | 1 | |
| 66 | - | |
| 63 | 2 | |
| 62 | - | |
| 61 | 1 | |
| 54 | 1 | |
| 51 | 4 | |
| 49 | - | |
| 47 | 1 | |
| 46 | - | |
| 45 | 1 | |
| 45 | 1 | |
| 45 | 1 | |
| 43 | - | |
| 42 | - | |
| 40 | 5 | |
| 39 | 1 | |
| 39 | - | |
| 37 | 1 | |
| 35 | 1 | |
| 34 | 1 | |
| 26 | - | |
| 25 | - | |
| 25 | - | |
| 22 | - | |
| 21 | 1 | |
| 20 | - | |
| 19 | 1 | |
| 18 | 1 | |
| 17 | 1 | |
| 17 | 1 | |
| 17 | - | |
| 15 | 1 | |
| 15 | 1 | |
| 14 | 1 | |
| 14 | - |
Large Files That Change Often (Top 2)
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 |
|---|---|---|---|---|---|
| 256 | ~1.5k–5k | 1 | ~2 | ~150 | |
| 35 | under 1k | 1 | ~10 | ~3 |
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 28)
| File | # lines | # units |
|---|---|---|
| 40 | 5 | |
| 51 | 4 | |
| 195 | 4 | |
| 94 | 3 | |
| 63 | 2 | |
| 37 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 17 | 1 | |
| 15 | 1 | |
| 19 | 1 | |
| 45 | 1 | |
| 18 | 1 | |
| 61 | 1 | |
| 45 | 1 | |
| 17 | 1 | |
| 34 | 1 | |
| 45 | 1 | |
| 35 | 1 | |
| 39 | 1 | |
| 47 | 1 | |
| 54 | 1 | |
| 75 | 1 | |
| 256 | 1 | |
| 81 | 1 | |
| 21 | 1 | |
| 5 | 1 | |
| 482 | 1 |
Files With Long Lines (Top 14)
There are 14 files with lines longer than 120 characters. In total, there are 24 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
| 121 | - | 4 | |
| 94 | - | 3 | |
| 126 | - | 3 | |
| 25 | - | 2 | |
| 39 | - | 2 | |
| 256 | 1 | 2 | |
| 35 | 1 | 1 | |
| 26 | - | 1 | |
| 25 | - | 1 | |
| 46 | - | 1 | |
| 14 | - | 1 | |
| 13 | - | 1 | |
| 96 | - | 1 | |
| 43 | - | 1 |
Correlations
File Size vs. Commits (all time): 34 points
|
|
482.0 | lines of code min: 5.0average: 72.03 25th percentile: 20.75 median: 46.0 75th percentile: 81.5 max: 482.0 |
|
| 0 | 26.0 | ||
|
commits (all time) min: 1.0 | average: 5.0 | 25th percentile: 2.0 | median: 3.0 | 75th percentile: 6.0 | max: 26.0
|
|||
File Size vs. Contributors (all time): 34 points
|
|
482.0 | lines of code min: 5.0average: 72.03 25th percentile: 20.75 median: 46.0 75th percentile: 81.5 max: 482.0 |
|
| 0 | 5.0 | ||
|
contributors (all time) min: 1.0 | average: 2.41 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 3.0 | max: 5.0
|
|||
File Size vs. Commits (30 days): 0 points
No data for "commits (30d)" vs. "lines of code".
File Size vs. Contributors (30 days): 0 points
No data for "contributors (30d)" vs. "lines of code".
File Size vs. Commits (90 days): 0 points
No data for "commits (90d)" vs. "lines of code".
File Size vs. Contributors (90 days): 0 points
No data for "contributors (90d)" vs. "lines of code".
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