⭕ Share quick reference cheat sheet for developers.
This report summarizes scanner evidence for Fechin/reference, a EJS project with 10,949 GitHub stars. SynthScan examined 107,208 lines of code across 275 source files, recording 43 pattern matches distributed across 10 syntactic categories. The legacy adjusted pattern signal is 0.9 (Low pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.
Can maintainers explain intent, assumptions, and trade-offs? 24 finding(s).
Are imports declared and package/API names verified? 14 finding(s).
Are wrappers, guards, and repeated structures necessary? 6 finding(s).
Which changes need focused human review? 43 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 43 distinct pattern matches across 10 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| CRITICAL | source/_posts/django.md | 928 | from django.core.exceptions import ValidationError | CODE |
| CRITICAL | source/_posts/django.md | 1213 | from django.core.exceptions import ValidationError | CODE |
| CRITICAL | source/_posts/django.md | 1319 | from django.core.exceptions import ValidationError | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | source/_posts/django.md | 1565 | #### Step 1: Install Celery Using pip | COMMENT |
| LOW | source/_posts/django.md | 1588 | #### Step 3: Import the Celery App to Django | COMMENT |
| LOW | source/_posts/django.md | 1600 | #### Step 4: Download and Run Redis as a Celery ‘broker’ | COMMENT |
| LOW | source/_posts/django.md | 1614 | #### Step 5: Add Redis as a Dependency in the Django Project: | COMMENT |
| LOW | source/_posts/django.md | 1620 | #### Step 6: Celery Stuff Configure to the Django Settings File | COMMENT |
| LOW | source/_posts/django.md | 1677 | #### Step 1: Add tasks.py File to Your Django App. | COMMENT |
| LOW | source/_posts/django.md | 1704 | #### Step 2: Assign Task to the Celery. | COMMENT |
| LOW⚡ | source/_posts/django.md | 1756 | #### Step 1: Install Supervisor on Ubuntu Server | COMMENT |
| LOW⚡ | source/_posts/django.md | 1762 | #### Step 2: Add .conf File in Supervisor | COMMENT |
| LOW⚡ | source/_posts/django.md | 1770 | #### Step 3: Add some Configure in app_name.conf | COMMENT |
| LOW | source/_posts/django.md | 1811 | #### Step 4: Inform Configuration to the Server | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | source/_posts/python.md | 179 | Lorem ipsum dolor sit amet, | CODE |
| LOW | source/_posts/python.md | 179 | Lorem ipsum dolor sit amet, | CODE |
| LOW | source/_posts/javascript.md | 217 | name: 'John Doe', | CODE |
| LOW | source/_posts/javascript.md | 592 | const [name, age] = ['John Doe', 8]; | CODE |
| LOW | source/_posts/javascript.md | 1093 | name: 'John Doe', | CODE |
| LOW | source/_posts/django.md | 1254 | widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'Email'}), label='Email') | CODE |
| LOW | source/_posts/django.md | 1256 | widget=forms.PasswordInput(attrs={'class': 'form-control', 'placeholder': 'Password'}),label='Password') | CODE |
| LOW | source/_posts/django.md | 1299 | attrs={'class': 'form-control', 'placeholder': 'Password'})) | CODE |
| LOW | source/_posts/django.md | 1302 | attrs={'class': 'form-control', 'placeholder': 'Re-Enter Password'})) | CODE |
| LOW | source/_posts/django.md | 1483 | from_email = "test@test.com", | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | source/_posts/python.md | 1118 | except Exception as e: | CODE |
| MEDIUM | source/_posts/python.md | 1119 | return print(f"Error : {e}") | CODE |
| MEDIUM | source/_posts/python.md | 1115 | def wrapper(*args, **kwargs): | CODE |
| MEDIUM | source/_posts/lua.md | 376 | print("Error loading file.") | CODE |
| MEDIUM | source/_posts/dart.md | 503 | print('Error: $e'); // Handle the exception first. | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | source/_posts/grok-cli.md | 117 | # AI-generated git commit and push | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | source/_posts/pytorch.md | 161 | # CTCLoss, NLLLoss, PoissonNLLLoss, | COMMENT |
| LOW | source/_posts/javascript.md | 781 | } | COMMENT |
| LOW | source/_posts/ruby.md | 381 | | `first` | `(1..5).first` => `1` | | COMMENT |
| LOW | source/_posts/ruby.md | 701 | COMMENT | |
| LOW | source/_posts/ruby.md | 1661 | COMMENT | |
| LOW | source/_posts/ruby.md | 1681 | # output | COMMENT |
| LOW | source/_posts/ruby.md | 2121 | ```ruby | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | source/_posts/claude-code.md | 14 | [Claude Code](https://code.claude.com) is an agentic AI coding tool by Anthropic — reads your codebase, edits files, r | CODE |
| MEDIUM | source/_posts/antigravity-cli.md | 16 | [Antigravity CLI (agy)](https://antigravity.google/docs/cli) is Google's AI-first terminal development assistant and a | CODE |
| MEDIUM | source/_posts/cursor-cli.md | 14 | [Cursor CLI](https://cursor.com/docs/cli/overview) (`agent`) is the terminal interface for Cursor's AI coding agent — | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | source/_posts/grok-cli.md | 183 | "apiKey": "your_api_key", | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | _config.yml | 96 | ## Set per_page to 0 to disable pagination | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | themes/coo/scripts/markdown_plugin.js | 164 | function closeSectionsToCurrentNesting(nesting) { | CODE |