Repository Analysis

ahmedkhaleel2004/gitdiagram

Free, simple, fast interactive diagrams for any GitHub repository

3.1 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of ahmedkhaleel2004/gitdiagram, a TypeScript project with 15,811 GitHub stars. SynthScan v2.0 examined 19,642 lines of code across 162 source files, recording 56 pattern matches distributed across 1 syntactic category. The overall adjusted score of 3.1 places this repository in the Likely human-written 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).

3.1
Adjusted Score
3.1
Raw Score
100%
Time Factor
2026-07-14
Last Push
15.8K
Stars
TypeScript
Language
19.6K
Lines of Code
162
Files
56
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 0LOW 56

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 56 distinct pattern matches across 1 syntactic category. 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.

Hyper-Verbose Identifiers56 hits · 62 pts
SeverityFileLineSnippetContext
LOWsrc/app/api/generate/stream/route.ts123function isOpenAiQuotaExhaustedError(message: string): boolean {CODE
LOWsrc/app/browse/data.ts86export async function getCachedDefaultBrowsePreviewDiagrams(): Promise<CODE
LOWsrc/app/browse/data.ts92export function revalidateBrowseIndexCache() {CODE
LOWsrc/app/[username]/[repo]/page.tsx19async function getCachedPublicDiagramState(username: string, repo: string) {CODE
LOWsrc/features/diagram/api.ts49function sendGenerationCancellation(CODE
LOWsrc/features/diagram/graph.ts24function renderableDiagramTextSchema(maxLength: number) {CODE
LOWsrc/features/diagram/mermaid-security.ts4export function sanitizeMermaidSourceForRender(source: string): string {CODE
LOWsrc/features/browse/catalog.ts45function compareIsoDatesDescending(left: string, right: string) {CODE
LOWsrc/features/browse/catalog.ts201export function parseBrowseQueryFromSearchParams(CODE
LOWsrc/features/browse/index-client.ts77export function clearBrowsePageCacheForTest() {CODE
LOWsrc/server/github-auth.ts83async function requestGitHubAppInstallationToken() {CODE
LOWsrc/server/github-auth.ts135export async function getGitHubAppInstallationToken() {CODE
LOWsrc/server/storage/quota-store.ts78export async function commitQuotaUsageInUpstash(params: {CODE
LOWsrc/server/storage/repo-page-cache.ts9export function getPublicDiagramStateCacheTag(CODE
LOWsrc/server/storage/artifact-store.ts64function shouldReplaceSessionSummary(CODE
LOWsrc/server/storage/artifact-store.ts214export async function updateArtifactLatestSessionSummary(params: {CODE
LOWsrc/server/storage/diagram-state.ts66export async function persistTerminalSessionAudit(params: {CODE
LOWsrc/server/storage/diagram-state.ts108export async function saveSuccessfulDiagramState(params: {CODE
LOWsrc/server/storage/diagram-state.ts151export async function updatePublicBrowseIndexForSuccessfulDiagram(params: {CODE
LOWsrc/server/storage/config.ts6export function assertLiveStorageAllowedForTests(service: string): void {CODE
LOWsrc/server/storage/browse-diagrams.ts44function compareIsoDatesDescending(left: string, right: string) {CODE
LOWsrc/server/storage/browse-diagrams.ts48function normalizeBrowseIndexEntry(entry: BrowseIndexEntry): BrowseIndexEntry {CODE
LOWsrc/server/storage/browse-diagrams.ts84function normalizeBrowseIndexEntries(CODE
LOWsrc/server/storage/browse-diagrams.ts108async function readStoredBrowseIndexWith(CODE
LOWsrc/server/generate/complimentary-gate.ts66export function isComplimentaryGateEnabled(): boolean {CODE
LOWsrc/server/generate/complimentary-gate.ts70export function getComplimentaryDailyLimitTokens(): number {CODE
LOWsrc/server/generate/complimentary-gate.ts77export function getComplimentaryModelFamily(): string {CODE
LOWsrc/server/generate/complimentary-gate.ts83export function getComplimentaryQuotaDateUtc(now = new Date()): string {CODE
LOWsrc/server/generate/complimentary-gate.ts87export function getComplimentaryQuotaResetAt(now = new Date()): string {CODE
LOWsrc/server/generate/complimentary-gate.ts101export function shouldApplyComplimentaryGate(params: {CODE
LOWsrc/server/generate/complimentary-gate.ts117export function modelMatchesComplimentaryFamily(model: string): boolean {CODE
LOWsrc/server/generate/complimentary-gate.ts121export function getComplimentaryQuotaBucket(_model?: string): string {CODE
LOWsrc/server/generate/complimentary-gate.ts125export function buildComplimentaryAdmissionTokens(CODE
LOWsrc/server/generate/complimentary-gate.ts152export function buildComplimentaryStageTokenBound(CODE
LOWsrc/server/generate/complimentary-gate.ts177export function getComplimentaryDenialMessage(): string {CODE
LOWsrc/server/generate/complimentary-gate.ts181export function getComplimentaryProviderMismatchMessage(): string {CODE
LOWsrc/server/generate/complimentary-gate.ts185export function getComplimentaryModelMismatchMessage(): string {CODE
LOWsrc/server/generate/complimentary-gate.ts226export async function finalizeComplimentaryQuota(params: {CODE
LOWsrc/server/generate/pricing.ts201export function createEstimateCostSummary(params: {CODE
LOWsrc/server/generate/openai.ts116function extractChatCompletionText(CODE
LOWsrc/server/generate/openai.ts138function normalizeChatCompletionUsage(CODE
LOWsrc/server/generate/openai.ts163function buildAtlasStructuredOutputPrompt(params: {CODE
LOWsrc/server/generate/openai.ts231function getResponseFailureMessage(response: {CODE
LOWsrc/server/generate/openai.ts246async function retrieveUsageFromResponseId(CODE
LOWsrc/server/generate/mermaid-validator.ts86function cleanStaleServerDomGlobals() {CODE
LOWsrc/server/generate/session-audit.ts15export function createGenerationSessionAudit(params: {CODE
LOWsrc/server/generate/graph.ts135export function formatGraphValidationFeedback(CODE
LOWsrc/server/generate/cancellation.ts59export async function unregisterActiveGeneration(CODE
LOWsrc/server/generate/cancellation.ts80export function startGenerationCancellationPolling(params: {CODE
LOWsrc/server/generate/model-config.ts38export function supportsExactInputTokenCount(provider: AIProvider): boolean {CODE
LOWsrc/server/generate/model-config.ts49export function shouldUseExactInputTokenCount(params: {CODE
LOWsrc/components/browse-catalog-shared.ts111export function isHistoryTraversalNavigation() {CODE
LOWsrc/components/mermaid-diagram-helpers.ts34export function ensureDomNodesSerializeSafely() {CODE
LOWsrc/components/mermaid-diagram-helpers.ts130export function getDistanceBetweenPointers(CODE
LOWsrc/components/browse-diagram-preview.tsx18export function preloadBrowseDiagramPreviewChart() {CODE
LOWsrc/components/browse-catalog-loading-state.tsx10export function BrowseCatalogLoadingState(props: BrowseCatalogControlsProps) {CODE