AI Slop Code Risk Monitor

nilbuild/developer-roadmap

SlopCodeMonitor badge for nilbuild/developer-roadmap Adjusted legacy signal; badge bands: 25 / 50 / 75 (different from dashboard bands).

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

1.2 Low pattern signal View on GitHub

Open-Source Code Quality, Security and Technical Debt Review

This report summarizes scanner evidence for nilbuild/developer-roadmap, a TypeScript project with 370,859 GitHub stars. SynthScan examined 93,888 lines of code across 11321 source files, recording 47 pattern matches distributed across 5 syntactic categories. The legacy adjusted pattern signal is 1.2 (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.

1.2
Adjusted Signal
1.2
Raw Pattern Score
100%
Time Factor
2026-10-30
Last Push
370.9K
Stars
TypeScript
Language
93.9K
Lines of Code
11.3K
Files
47
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 5.6/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 47 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.0/100 · LOW

Are imports declared and package/API names verified? 0 finding(s).

Agent Over-Engineering Ratio 0.1/100 · LOW

Are wrappers, guards, and repeated structures necessary? 2 finding(s).

PR Review Velocity Impact 6.2/100 · LOW

Which changes need focused human review? 47 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 1MEDIUM 34LOW 12

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 47 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.

Modern AI Meta-Vocabulary34 hits · 83 pts
SeverityFileLineSnippetContext
MEDIUM…/content/what-is-agentic-loop@uOowDiCXVKyMFrZO1pnXv.md7- [@official@Claude Code Agentic Loop](https://code.claude.com/docs/en/how-claude-code-works#the-agentic-loop)CODE
MEDIUM…/content/what-is-agentic-loop@uOowDiCXVKyMFrZO1pnXv.md7- [@official@Claude Code Agentic Loop](https://code.claude.com/docs/en/how-claude-code-works#the-agentic-loop)CODE
MEDIUM…laude-code/content/hook-types@uC2PkMsCK-vaBo5Ygha2P.md9- [@official@Agent-based hooks](https://code.claude.com/docs/en/hooks-guide#agent-based-hooks)CODE
MEDIUM…eering/content/output-control@wSf7Zr8ZYBuKWX0GQX6J3.md7- [@official@Increase Output Consistency - Anthropic](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-gCODE
MEDIUM…neering/content/hallucination@SWDa3Su3VS815WQbvvNsa.md7- [@official@Reduce hallucinations - Anthropic](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardraCODE
MEDIUM…ring/content/prompt-injection@6W_ONYREbXHwPigoDx1cW.md7- [@official@Mitigate jailbreaks and prompt injections - Anthropic](https://platform.claude.com/docs/en/test-and-evaluatCODE
MEDIUM…rompt-engineering/content/rag@gxydtFKmnXNY9I5kpTwjP.md1# RAGCOMMENT
MEDIUM…g/content/cache-aware-routing@3DR0Qvqu2qUTi9niU_63n.md7- [@article@Why Agentic Inference Needs Prefix-Aware Routing Infrastructure](https://www.coreweave.com/blog/why-agentic-CODE
MEDIUM…gineering/content/multi-cloud@d78UiI_FZyLsU6O52btXg.md8- [@article@How to Do Agentic AI Inference in a Multicloud, Multi-Model World](https://blog.equinix.com/blog/2025/03/19/CODE
MEDIUM…s/ai-agents/content/rag-agent@cW8O4vLLKEG-Q0dE8E5Zp.md1# RAG AgentCOMMENT
MEDIUM…tent/rag-and-vector-databases@wkS4yOJ3JdZQE_yBID8K7.md1# RAG and Vector DatabasesCOMMENT
MEDIUM…ent/bias--toxicity-guardrails@EyLo2j8IQsIK91SKaXkmK.md7- [@article@Define the Agent Guardrails](https://trailhead.salesforce.com/content/learn/modules/agentforce-agent-planninCODE
MEDIUM…ent/bias--toxicity-guardrails@EyLo2j8IQsIK91SKaXkmK.md8- [@article@How to Build Safe AI Agents: Best Practices for Guardrails](https://medium.com/@sahin.samia/how-to-build-safCODE
MEDIUM…/understand-the-basics-of-rag@qwVQOwBTLA2yUgRISzC8k.md1# Understand the Basics of RAGCOMMENT
MEDIUM…g/content/agentic-ai-security@FVsKivsJrIb82B0lpPmgw.md11- [@course@Agentic Goal Hijacking: Hands-on Exercise](https://ransomleak.com/exercises/agentic-goal-hijack/)CODE
MEDIUM…ontent/safety-filter-bypasses@j7uLLpt8MkZ1rqM7UBPW4.md8- [@article@How to Bypass Azure AI Content Safety Guardrails](https://mindgard.ai/blog/bypassing-azure-ai-content-safetyCODE
MEDIUM…/true-negative--true-positive@M6uwyD4ibguxytf1od-og.md7- [@article@False Positives and False Negatives in Information Security](https://www.guardrails.io/blog/false-positives-CODE
MEDIUM…r/content/agent-architectures@axvABWpvFn6jGhtVX5YIb.md7- [@article@What is agentic architecture?](https://www.ibm.com/think/topics/agentic-architecture)CODE
MEDIUM…engineer/content/multi-agents@pDB2w6qDVFY9FFoqCX66K.md9- [@article@Agentic AI 103: Building Multi-Agent Teams](https://towardsdatascience.com/agentic-ai-103-building-multi-ageCODE
MEDIUM⚡…maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md7- [@official@Scaffold](https://developer.android.com/develop/ui/compose/components/scaffold)CODE
MEDIUM⚡…maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md8- [@official@Create a scaffold component to hold the UI together](https://developer.android.com/develop/ui/compose/quickCODE
MEDIUM⚡…maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md9- [@article@Understanding Scaffold in Jetpack Compose: A Comprehensive Guide](https://medium.com/@ramadan123sayed/undersCODE
MEDIUM…m-design/content/event-driven@NEsPjQifNDlZJE-2YLVl1.md7- [@article@Background Jobs - Event Driven Triggers](https://learn.microsoft.com/en-us/azure/architecture/best-practicesCODE
MEDIUM…/content/rag--dynamic-filters@LnQ2AatMWpExUHcZhDIPd.md1# RAG and Dynamic FiltersCOMMENT
MEDIUM…maps/ai-engineer/content/rags@IX1BJWGwGmB4L063g0Frf.md1# RAGCOMMENT
MEDIUM…ngineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md1# RAG & ImplementationCOMMENT
MEDIUM…engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md10- [@article@Agentic AI 103: Building Multi-Agent Teams](https://towardsdatascience.com/agentic-ai-103-building-multi-ageCODE
MEDIUM…ineer/content/external-memory@KWjD4xEPhOOYS51dvRLd2.md7- [@article@How to Maximize Agentic Memory for Continual Learning](https://towardsdatascience.com/how-to-maximize-agentiCODE
MEDIUM…er/content/rag-vs-fine-tuning@qlBEXrbV88e_wAGRwO9hW.md1# RAG vs Fine-tuningCOMMENT
MEDIUM…engineer/content/rag-usecases@GCn4LGNEtPI0NWYAZCRE-.md1# RAG UsecasesCOMMENT
MEDIUM…ntent/rag-and-dynamic-filters@LnQ2AatMWpExUHcZhDIPd.md1# RAG and Dynamic FiltersCOMMENT
MEDIUM…dmaps/ai-engineer/content/rag@IX1BJWGwGmB4L063g0Frf.md1# RAGCOMMENT
MEDIUM…r/content/context-engineering@kCiHNaZ9CgnS9uksIQ_SY.md9- [@article@How to Perform Effective Agentic Context Engineering](https://towardsdatascience.com/how-to-perform-effectivCODE
MEDIUMroadmaps/seo/content/rag@nVLFIaDXF9XWNUPwIg5T2.md1# RAGCOMMENT
Structural Annotation Overuse7 hits · 16 pts
SeverityFileLineSnippetContext
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md5### Step 1: Find an Issue or FeatureCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md9### Step 2: Familiarize Yourself with the CodebaseCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md13### Step 3: Set up the Development EnvironmentCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md17### Step 4: Write the PatchCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md21### Step 5: Test the PatchCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md25### Step 6: Create a Commit and Generate a PatchCOMMENT
LOW⚡…l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md29### Step 7: Submit the PatchCOMMENT
Synthetic Comment Markers1 hit · 5 pts
SeverityFileLineSnippetContext
HIGH…ent/purpose-and-functionality@WcjX6p-V-Rdd77EL8Ega9.md3A vector database is designed to store, manage, and retrieve high-dimensional vectors (embeddings) generated by AI modelCODE
Over-Commented Block3 hits · 3 pts
SeverityFileLineSnippetContext
LOW…s/redis/content/more-commands@2SG4Hr9Tuv6cxmGkrKjYZ.md1# More CommandsCOMMENT
LOW…tent/usecases--best-practices@Z6yJwUkcDX08HoMyf1LwX.md1# Usecases / Best PracticesCOMMENT
LOWroadmaps/ai-data-scientist/content/index.md1# COMMENT
Hyper-Verbose Identifiers2 hits · 2 pts
SeverityFileLineSnippetContext
LOWscripts/lib/official-roadmap-topic.ts48export function formatOfficialRoadmapTopicResourceLink(CODE
LOWscripts/lib/official-roadmap-topic.ts54export function prepareOfficialRoadmapTopicContent(CODE