Repository Analysis

emmabostian/developer-portfolios

A list of developer portfolios for your inspiration

8.9 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of emmabostian/developer-portfolios, a Python project with 25,223 GitHub stars. SynthScan v2.0 examined 12,660 lines of code across 21 source files, recording 67 pattern matches distributed across 7 syntactic categories. The overall adjusted score of 8.9 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

8.9
Adjusted Score
8.9
Raw Score
100%
Time Factor
2026-07-13
Last Push
25.2K
Stars
Python
Language
12.7K
Lines of Code
21
Files
67
Pattern Hits
2026-07-14
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 0MEDIUM 19LOW 48

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 67 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Decorative Section Separators14 hits · 45 pts
SeverityFileLineSnippetContext
MEDIUMsrc/check_parking_redirects.py29# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py31# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py69# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py71# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py116# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py118# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py188# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py190# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py215# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py217# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py255# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py257# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py280# ---------------------------------------------------------------------------COMMENT
MEDIUMsrc/check_parking_redirects.py282# ---------------------------------------------------------------------------COMMENT
Hyper-Verbose Identifiers26 hits · 30 pts
SeverityFileLineSnippetContext
LOWtests/test_emoji_detection.py6 def test_link_text_with_emoji(self):CODE
LOWtests/test_emoji_detection.py10 def test_no_emoji_in_link_text(self):CODE
LOWtests/test_emoji_detection.py14 def test_emoji_in_bracketed_description(self):CODE
LOWtests/test_emoji_detection.py18 def test_emoji_in_parenthesized_description(self):CODE
LOWtests/test_emoji_detection.py22 def test_zwj_sequence_detection(self):CODE
LOWtests/test_emoji_detection.py28 def test_url_with_emoji_but_not_text(self):CODE
LOWtests/test_main_e2e.py8 def test_main_trims_and_writes_backup(self):CODE
LOWtests/test_fullstack_variants.py8 def test_bracket_variants_normalized(self):CODE
LOWtests/test_remove_emoji.py6 def test_remove_from_link_text(self):CODE
LOWtests/test_remove_emoji.py13 def test_remove_from_bracket_desc(self):CODE
LOWtests/test_remove_emoji.py20 def test_remove_from_paren_desc(self):CODE
LOWtests/test_feed_json.py16def test_extract_portfolio_data():CODE
LOWtests/test_alphabetical.py6 def test_trim_and_remove_duplicate(self):CODE
LOWtests/test_alphabetical.py36 def test_non_markdown_ignored(self):CODE
LOWtests/test_alphabetical.py48 def test_multiple_adjacent_duplicates(self):CODE
LOWtests/test_alphabetical.py59 def test_remove_leading_single_letter_token(self):CODE
LOWtests/test_alphabetical.py70 def test_strip_aaa_prefix_token(self):CODE
LOWtests/test_alphabetical.py90 def test_validate_section_placement_single_misplaced(self):CODE
LOWtests/test_alphabetical.py118 def test_validate_section_placement_multiple_misplaced(self):CODE
LOWtests/test_alphabetical.py135 def test_validate_section_placement_accented_characters(self):CODE
LOWtests/test_alphabetical.py151 def test_validate_section_placement_no_misplaced(self):CODE
LOWtests/test_alphabetical.py166 def test_validate_section_placement_creates_new_section(self):CODE
LOWsrc/alphabetical.py87def validate_section_placement(lines):CODE
LOWsrc/alphabetical.py222def sort_lists_alphabetically(lines):CODE
LOWsrc/alphabetical.py504def remove_exact_duplicate_links(lines):CODE
LOWsrc/check_parking_redirects.py202def parse_lychee_flagged_urls(lychee_path: str) -> set:CODE
Excessive Try-Catch Wrapping18 hits · 25 pts
SeverityFileLineSnippetContext
LOWtests/test_feed_json.py99 except Exception as e:CODE
LOWtests/test_feed_json.py109 except Exception as e:CODE
MEDIUMsrc/generate_feed.py67 print(f"Error: {readme_path} not found.")CODE
LOWsrc/generate_feed.py69 except Exception as e:CODE
MEDIUMsrc/generate_feed.py70 print(f"Error creating feed.json: {e}")CODE
LOWsrc/alphabetical.py154 except Exception:CODE
LOWsrc/alphabetical.py276 except Exception:CODE
LOWsrc/alphabetical.py607 except Exception as e:CODE
MEDIUMsrc/alphabetical.py608 print(f"Error creating feed.json: {e}")CODE
LOWsrc/alphabetical.py621 except Exception:CODE
LOWsrc/check_parking_redirects.py84 except Exception:CODE
LOWsrc/check_parking_redirects.py159 except Exception as e:CODE
LOWsrc/check_parking_redirects.py181 except Exception:CODE
LOWsrc/check_parking_redirects.py240 except Exception as e:CODE
LOWsrc/run_tests.py24 except Exception as e:CODE
MEDIUMsrc/run_tests.py25 print(f"Error discovering tests in {args.dir}: {e}")CODE
LOWsrc/remove_emoji_in_readme.py20except Exception:CODE
LOWsrc/remove_emoji_in_readme.py23 except Exception:CODE
Deep Nesting5 hits · 5 pts
SeverityFileLineSnippetContext
LOWsrc/alphabetical.py87CODE
LOWsrc/alphabetical.py222CODE
LOWsrc/alphabetical.py504CODE
LOWsrc/check_parking_redirects.py219CODE
LOWsrc/run_dup_report.py13CODE
AI Slop Vocabulary1 hit · 3 pts
SeverityFileLineSnippetContext
MEDIUMsrc/alphabetical.py12 # Use a robust split that treats common whitespace (including NBSP) as separatorsCOMMENT
Redundant / Tautological Comments2 hits · 3 pts
SeverityFileLineSnippetContext
LOWsrc/alphabetical.py39 # Check if the word has uppercase letters after the first character (e.g. DevOps, GenAI)COMMENT
LOWsrc/alphabetical.py162 # Check if in correct sectionCOMMENT
Fake / Example Data1 hit · 1 pts
SeverityFileLineSnippetContext
LOWfeed.json3767 "name": "John Doe",CODE