AI Slop Code Risk Monitor

perixtar/2026-Tech-OA-by-FastPrep

Name: perixtar/2026-Tech-OA-by-FastPrep — Python Code Quality & Security Review | AI Slop Code Risk Monitor
Creator: AI Slop Code Risk Monitor

Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

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3.7 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for perixtar/2026-Tech-OA-by-FastPrep, a Python project with 5,897 GitHub stars. SynthScan examined 12,691 lines of code across 20 source files, recording 37 pattern matches distributed across 5 syntactic categories. The legacy adjusted pattern signal is 3.7 (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.

3.7

Adjusted Signal

3.7

Raw Pattern Score

100%

Time Factor

2026-10-31

Last Push

5.9K

Stars

Python

Language

12.7K

Lines of Code

Files

Pattern Hits

2026-10-31

Scan Date

0.00

HC Hit Rate

Risk Review · Payload v1

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.

Cognitive Ownership Risk 15.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 33 finding(s).

Hallucinated Dependency & Supply Chain Risk 1.6/100 · LOW

Are imports declared and package/API names verified? 4 finding(s).

Agent Over-Engineering Ratio 9.7/100 · LOW

Are wrappers, guards, and repeated structures necessary? 24 finding(s).

PR Review Velocity Impact 18.9/100 · LOW

Which changes need focused human review? 37 finding(s).

What These Metrics Mean

Adjusted Signal: Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score: Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor: A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits: Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate: High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files: Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

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.

Severity Breakdown

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.

CRITICAL 0HIGH 0MEDIUM 8LOW 29

Directory Score Breakdown

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.

Pattern Findings

The scanner identified 37 distinct pattern matches across 5 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.

Hyper-Verbose Identifiers24 hits · 26 pts

Severity	File	Line	Snippet	Context
LOW	scripts/question_bank_pages.py	66	def strip_generated_navigation(prefix: str) -> str:	CODE
LOW	scripts/question_bank_pages.py	273	def assert_route_conservation(	CODE
LOW	scripts/question_bank_pages.py	296	def render_question_bank_pages(	CODE
LOW	scripts/test_question_bank_pages.py	32	def test_render_and_reload_preserve_global_route_order(self) -> None:	CODE
LOW	scripts/test_question_bank_pages.py	69	def test_duplicate_route_across_pages_fails_closed(self) -> None:	CODE
LOW	scripts/test_question_bank_pages.py	91	def test_unmanaged_or_noncontiguous_continuation_pages_fail_closed(self) -> None:	CODE
LOW	scripts/test_question_bank_pages.py	114	def test_single_row_over_hard_limit_fails_closed(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	84	def test_missing_catalog_entry_uses_coding_route_fallback(self) -> None:	CODE
LOW⚡	scripts/test_sync_practice_formats.py	104	def test_catalog_format_overrides_coding_route_fallback(self) -> None:	CODE
LOW⚡	scripts/test_sync_practice_formats.py	113	def test_legacy_practice_format_header_is_renamed(self) -> None:	CODE
LOW⚡	scripts/test_sync_practice_formats.py	123	def test_format_links_include_only_formats_in_the_table(self) -> None:	CODE
LOW⚡	scripts/test_sync_practice_formats.py	132	def test_format_pages_contain_only_matching_rows(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	148	def test_format_pages_use_the_same_byte_bounded_pagination(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	189	def test_managed_catalogs_add_design_and_ai_coding_rows(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	237	def test_missing_public_attribution_uses_factual_fallbacks(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	262	def test_missing_sighting_date_preserves_the_first_sync_date(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	291	def test_sync_compacts_favicons_to_keep_the_readme_renderable(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	305	def test_sync_omits_protected_numeric_alias_rows(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	339	def test_managed_rows_use_compact_rendering(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	367	def test_managed_catalog_companies_are_added_to_company_list(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	399	def test_company_list_is_case_insensitive_comma_safe_and_idempotent(self) -> None:	CODE
LOW	scripts/test_sync_practice_formats.py	432	def test_refresh_freshness_accepts_spaced_and_compact_date_cells(self) -> None:	CODE
LOW	scripts/sync-practice-formats.py	455	def format_labels_in_display_order(counts: Counter) -> list[str]:	CODE
LOW	scripts/sync-practice-formats.py	650	def existing_format_page_paths() -> list[Path]:	CODE

Modern AI Meta-Vocabulary8 hits · 16 pts

Severity	File	Line	Snippet	Context
MEDIUM	README.md	181	\|Amazon\|[Design an Agentic Chatbot Domain](https://www.fastprep.io/low-level-design/agentic-chatbot-domain)\|Low-leve	CODE
MEDIUM	README.md	409	\|Perplexity AI\|[Design Durable Long-Running Agentic Query Execution](https://www.fastprep.io/system-design/long-runn	CODE
MEDIUM	README.md	535	\|Amazon\|[Design Agentic Security Stream Detection](https://www.fastprep.io/system-design/agentic-security-stream-det	CODE
MEDIUM	README.md	749	\|Walmart\|[Design an Agent-Assisted Search Experience](https://www.fastprep.io/system-design/agentic-search-experienc	CODE
MEDIUM	formats/system-design.md	103	\|Perplexity AI\|[Design Durable Long-Running Agentic Query Execution](https://www.fastprep.io/system-design/long-runn	CODE
MEDIUM	formats/system-design.md	116	\|Amazon\|[Design Agentic Security Stream Detection](https://www.fastprep.io/system-design/agentic-security-stream-det	CODE
MEDIUM	formats/system-design.md	139	\|Walmart\|[Design an Agent-Assisted Search Experience](https://www.fastprep.io/system-design/agentic-search-experienc	CODE
MEDIUM	formats/low-level-design.md	23	\|Amazon\|[Design an Agentic Chatbot Domain](https://www.fastprep.io/low-level-design/agentic-chatbot-domain)\|[![Pract	CODE

Fake / Example Data2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	README.md	106	\|Mercor\|[Expected Fake-Name Collisions](https://www.fastprep.io/problems/mercor-fake-name-expected-collisions)\|Codin	CODE
LOW	formats/coding.md	52	\|Mercor\|[Expected Fake-Name Collisions](https://www.fastprep.io/problems/mercor-fake-name-expected-collisions)\|[![Pr	CODE

Unused Imports2 hits · 2 pts

Severity	File	Line	Snippet	Context
LOW	scripts/question_bank_pages.py	4		CODE
LOW	scripts/sync-practice-formats.py	27		CODE

Deep Nesting1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	scripts/sync-practice-formats.py	160		CODE