File Size Overall
  • There are 14 files with 1,515 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 3 medium size files (918 lines of code)
    • 3 small files (480 lines of code)
    • 8 very small files (117 lines of code)
0% | 0% | 60% | 31% | 7%
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
py0% | 0% | 69% | 21% | 8%
js0% | 0% | 0% | 100% | 0%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
claudecode0% | 0% | 69% | 21% | 8%
scripts0% | 0% | 0% | 100% | 0%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 14)
File# lines# units
392 16
eval_engine.py
in claudecode/evals
294 11
findings_filter.py
in claudecode
232 3
195 4
164 8
run_eval.py
in claudecode/evals
121 2
json_parser.py
in claudecode
47 2
logger.py
in claudecode
26 1
__init__.py
in claudecode
12 -
prompts.py
in claudecode
11 1
constants.py
in claudecode
10 -
__init__.py
in claudecode/evals
7 -
audit.py
in claudecode
3 -
1 -
Large Files That Change Often (Top 1)
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
392 ~2k–7k 2 ~3 ~150

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 9)
File# lines# units
392 16
eval_engine.py
in claudecode/evals
294 11
164 8
195 4
findings_filter.py
in claudecode
232 3
run_eval.py
in claudecode/evals
121 2
json_parser.py
in claudecode
47 2
logger.py
in claudecode
26 1
prompts.py
in claudecode
11 1
Files With Long Lines (Top 5)

There are 5 files with lines longer than 120 characters. In total, there are 16 long lines.

File# lines# units# long lines
195 4 9
392 16 3
run_eval.py
in claudecode/evals
121 2 2
eval_engine.py
in claudecode/evals
294 11 1
findings_filter.py
in claudecode
232 3 1
Correlations

File Size vs. Commits (all time): 2 points

claudecode/github_action_audit.py x: 2 commits (all time) y: 392 lines of code claudecode/constants.py x: 2 commits (all time) y: 10 lines of code
392.0
lines of code
  min: 10.0
  average: 201.0
  25th percentile: 10.0
  median: 201.0
  75th percentile: 392.0
  max: 392.0
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

File Size vs. Contributors (all time): 2 points

claudecode/github_action_audit.py x: 1 contributors (all time) y: 392 lines of code claudecode/constants.py x: 2 contributors (all time) y: 10 lines of code
392.0
lines of code
  min: 10.0
  average: 201.0
  25th percentile: 10.0
  median: 201.0
  75th percentile: 392.0
  max: 392.0
0 2.0
contributors (all time)
min: 1.0 | average: 1.5 | 25th percentile: 1.0 | median: 1.5 | 75th percentile: 2.0 | max: 2.0

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...