openai/openai-realtime-solar-system
File Size The distribution of size of files (measured in lines of code). |
File Size Overall
- There are 19 files with 1,276 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 2 medium size files (611 lines of code)
- 2 small files (246 lines of code)
- 15 very small files (419 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 19)
| File | # lines | # units |
|---|---|---|
| 315 | 2 | |
| 296 | 7 | |
| 138 | - | |
| 108 | 4 | |
| 76 | 2 | |
| 60 | - | |
| 57 | 1 | |
| 44 | - | |
| 42 | - | |
| 33 | - | |
| 27 | 1 | |
| 18 | - | |
| 17 | - | |
| 17 | - | |
| 8 | 1 | |
| 7 | - | |
| 5 | - | |
| 4 | - | |
| 4 | - |
Large Files That Change Often (Top 4)
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 |
|---|---|---|---|---|---|
| 296 | ~2k–5k | 2 | ~150 | ~2 | |
| 60 | ~300–1k | 2 | ~15 | ~3 | |
| 57 | ~300–1k | 2 | ~50 | ~1 | |
| 4 | under 1k | 2 | ~5 | ~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 7)
Files With Long Lines (Top 2)
Correlations
File Size vs. Commits (all time): 5 points
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296.0 | lines of code min: 4.0average: 111.0 25th percentile: 30.5 median: 60.0 75th percentile: 217.0 max: 296.0 |
|
| 0 | 3.0 | ||
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commits (all time) min: 1.0 | average: 2.0 | 25th percentile: 1.5 | median: 2.0 | 75th percentile: 2.5 | max: 3.0
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File Size vs. Contributors (all time): 5 points
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|
296.0 | lines of code min: 4.0average: 111.0 25th percentile: 30.5 median: 60.0 75th percentile: 217.0 max: 296.0 |
|
| 0 | 2.0 | ||
|
contributors (all time) min: 1.0 | average: 1.6 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0
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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