Repository Analysis

blevesearch/bleve

A modern text/numeric/geo-spatial/vector indexing library for go

4.2 Likely human-written View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of blevesearch/bleve, a Go project with 11,148 GitHub stars. SynthScan v2.0 examined 168,488 lines of code across 767 source files, recording 704 pattern matches distributed across 5 syntactic categories. The overall adjusted score of 4.2 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).

4.2
Adjusted Score
4.2
Raw Score
100%
Time Factor
2026-07-13
Last Push
11.1K
Stars
Go
Language
168.5K
Lines of Code
767
Files
704
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 1LOW 703

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 704 distinct pattern matches across 5 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.

Over-Commented Block677 hits · 677 pts
SeverityFileLineSnippetContext
LOWquery.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWquery.go21)COMMENT
LOWquery.go41COMMENT
LOWquery.go61// Date strings are parsed using the DateTimeParser configured in theCOMMENT
LOWquery.go81// is used.COMMENT
LOWquery.go141// NewMatchPhraseQuery creates a new Query objectCOMMENT
LOWquery.go181// of text terms.COMMENT
LOWquery.go261// then the query will return documents which contain that IP.COMMENT
LOWindex.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex.go181// Index() takes an input value, deduces a DocumentMapping for its type,COMMENT
LOWindex.go201// Nested fields are identified by prefixing with their parent identifier,COMMENT
LOWindex.go221// FieldMapping.Analyzer to know how an analyzer is resolved for a given field.COMMENT
LOWindex.go301 return newIndexUsing("", mapping, upsidedown.Name, Config.DefaultMemKVStore, nil)COMMENT
LOWrescorer_test.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWrescorer_test.go381func verifyFTSRRFResults(t *testing.T, hits search.DocumentMatchCollection) {COMMENT
LOWconfig.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_alias_impl.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_alias_impl.go261 defer rescorer.restoreSearchRequest()COMMENT
LOWmapping_vector.go1// Copyright (c) 2023 Couchbase, Inc.COMMENT
LOWerror.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWsearch_knn_test.go1// Copyright (c) 2023 Couchbase, Inc.COMMENT
LOWexamples_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWexamples_test.go461 fmt.Println(searchResults.Hits[2].ID)COMMENT
LOWindex_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWrescorer.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWindex_update.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWindex_stats.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWsearch_nested_test.go1// Copyright (c) 2026 Couchbase, Inc.COMMENT
LOWrescorer_knn_test.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWrescorer_knn_test.go181 searchRequest.Explain = falseCOMMENT
LOWquery_bench_test.go1// Copyright (c) 2022 Couchbase, Inc.COMMENT
LOWindex_update_test.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWsearch_no_knn.go1// Copyright (c) 2023 Couchbase, Inc.COMMENT
LOWsearch_no_knn.go41// Fields describes a list of field values whichCOMMENT
LOWsearch.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWsearch.go521 }COMMENT
LOWsearch_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWconfig_app.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_impl.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_alias_impl_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWdoc.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWsearch_knn.go1// Copyright (c) 2023 Couchbase, Inc.COMMENT
LOWindex_meta.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWconfig_disk.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWbuilder.go1// Copyright (c) 2019 Couchbase, Inc.COMMENT
LOWindex_alias.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_alias.go21// operations are valid and will be passed throughCOMMENT
LOWbuilder_test.go1// Copyright (c) 2019 Couchbase, Inc.COMMENT
LOWmapping.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWindex_meta_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWpre_search.go1// Copyright (c) 2024 Couchbase, Inc.COMMENT
LOWfusion/util.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWfusion/fusion.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWfusion/rrf.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWfusion/rsf.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWfusion/rrf_test.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWfusion/rsf_test.go1// Copyright (c) 2025 Couchbase, Inc.COMMENT
LOWmapping/mapping_test.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWmapping/index.go1// Copyright (c) 2014 Couchbase, Inc.COMMENT
LOWmapping/index.go101 return nilCOMMENT
617 more matches not shown…
Fake / Example Data21 hits · 22 pts
SeverityFileLineSnippetContext
LOWsearch_test.go3485 "text": "lorem ipsum dolor sit amet consectetur adipiscing elit do eiusmod tempor",CODE
LOWsearch_test.go3485 "text": "lorem ipsum dolor sit amet consectetur adipiscing elit do eiusmod tempor",CODE
LOWsearch_test.go3494 "text": "lorem ipsum sit amet adipiscing elit do eiusmod",CODE
LOWdocs/create_and_search_your_first_index.md105 "author": "John Doe",CODE
LOWdocs/sort_facet.md62 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md79 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md102 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md124 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md150 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md204 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md221 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md252 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md282 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md322 "match": "lorem ipsum",CODE
LOWdocs/sort_facet.md362 "match": "lorem ipsum",CODE
LOWdocs/hierarchy.md14 "name": "John Doe",CODE
LOWdocs/hierarchy.md18 "street": "123 Main St",CODE
LOWdocs/hierarchy.md64 {"type": "mobile", "number": "555-1234"},CODE
LOWdocs/hierarchy.md65 {"type": "home", "number": "555-5678"}CODE
LOW…ighlight/highlighter/simple/highlighter_simple_test.go71 fieldBytes := []byte(`Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris sed semper nulla, sed pellentesquCODE
LOW…ighlight/highlighter/simple/highlighter_simple_test.go71 fieldBytes := []byte(`Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris sed semper nulla, sed pellentesquCODE
Structural Annotation Overuse4 hits · 6 pts
SeverityFileLineSnippetContext
LOWdocs/search_autocomplete.md180### Step 1: Create Custom Edge N-gram Token FilterCOMMENT
LOWdocs/search_autocomplete.md209### Step 2: Create Custom AnalyzerCOMMENT
LOWdocs/search_autocomplete.md267### Step 3: Configure Field MappingCOMMENT
LOWdocs/search_autocomplete.md285### Step 4: How It Works in Real SearchCOMMENT
AI Slop Vocabulary1 hit · 2 pts
SeverityFileLineSnippetContext
MEDIUMdata/test/sample-data.json6,{"title":"Edinburgh/South","name":"Argyle Backpackers","address":"14 Argyle Pl","directions":"The number 41 bus (catch CODE
Verbosity Indicators1 hit · 2 pts
SeverityFileLineSnippetContext
LOWsearch_knn.go560 // since the stack is not empty, we need to check if the top of the stackCOMMENT