AI Slop Code RIsk Monitor

microsoft/ai-agents-for-beginners

18 Lessons to Get Started Building AI Agents

12.5 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for microsoft/ai-agents-for-beginners, a Jupyter Notebook project with 76,842 GitHub stars. SynthScan examined 822,231 lines of code across 3666 source files, recording 3075 pattern matches distributed across 17 syntactic categories. The legacy adjusted pattern signal is 12.5 (Moderate 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.

12.5
Adjusted Signal
12.5
Raw Pattern Score
100%
Time Factor
2026-10-09
Last Push
76.8K
Stars
Jupyter Notebook
Language
822.2K
Lines of Code
3.7K
Files
3.1K
Pattern Hits
2026-10-12
Scan Date
0.26
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 27.3/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 1933 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.2/100 · LOW

Are imports declared and package/API names verified? 14 finding(s).

Agent Over-Engineering Ratio 27.4/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 1475 finding(s).

PR Review Velocity Impact 48.6/100 · MEDIUM

Which changes need focused human review? 3075 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 962MEDIUM 1528LOW 585

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 3075 distinct pattern matches across 17 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-Vocabulary1506 hits · 4838 pts
SeverityFileLineSnippetContext
MEDIUMSTUDY_GUIDE.md137### RAG and KnowledgeCOMMENT
MEDIUM14-microsoft-agent-framework/README.md29[Microsoft Agent Framework (MAF)](https://learn.microsoft.com/en-us/agent-framework/overview/?wt.mc_id=youtube_26688_orgCODE
MEDIUM…ramework/code-samples/hotel_booking_workflow_sample.py193 # MiniMax: OpenAI-compatible API with large context window (up to 204K tokens).COMMENT
MEDIUM05-agentic-rag/README.md5# Agentic RAGCOMMENT
MEDIUM05-agentic-rag/README.md31## What is Agentic RAG?COMMENT
MEDIUM05-agentic-rag/README.md37## Defining Agentic Retrieval-Augmented Generation (Agentic RAG)COMMENT
MEDIUM⚡05-agentic-rag/README.md117### Got More Questions about Agentic RAG?COMMENT
MEDIUM⚡05-agentic-rag/README.md125- <a href="https://weaviate.io/blog/what-is-agentic-rag" target="_blank">What is Agentic RAG | Weaviate</a>CODE
MEDIUM⚡05-agentic-rag/README.md126- <a href="https://ragaboutit.com/agentic-rag-a-complete-guide-to-agent-based-retrieval-augmented-generation/" target="_CODE
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md1# 🔍 Enterprise RAG with Microsoft Foundry (.NET)COMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md13## 🎯 Enterprise RAG ArchitectureCOMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md29### Enterprise RAG PipelineCOMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md89## 📊 Enterprise RAG PatternsCOMMENT
MEDIUM…rotocols/code_samples/github-mcp/event-descriptions.md176## Event Name: Semantic Kernel with C# to build multi-agent AI applications powered by Azure CosmosCOMMENT
MEDIUM…rotocols/code_samples/github-mcp/event-descriptions.md180We will walk you through a multi-agent application in C# that is built on top of the Semantic Kernel framework. You willCODE
MEDIUM11-agentic-protocols/code_samples/github-mcp/app.py102# RAG tool for event searchCOMMENT
MEDIUM17-creating-local-ai-agents/README.md119## Local RAGCOMMENT
MEDIUM⚡09-metacognition/README.md241## 3. Corrective RAG SystemCOMMENT
MEDIUM⚡09-metacognition/README.md247### Retrieval-Augmented Generation (RAG)COMMENT
MEDIUM⚡09-metacognition/README.md253### Corrective RAG ApproachCOMMENT
MEDIUM⚡09-metacognition/README.md261#### Example: Corrective RAG in a Search AgentCOMMENT
MEDIUM⚡09-metacognition/README.md269### Corrective RAG in Travel AgentCOMMENT
MEDIUM⚡09-metacognition/README.md279#### Steps for Implementing Corrective RAG in Travel AgentCOMMENT
MEDIUM09-metacognition/README.md638### RAG: Prompting Technique vs ToolCOMMENT
MEDIUM09-metacognition/README.md642#### RAG as a Prompting TechniqueCOMMENT
MEDIUM09-metacognition/README.md661#### RAG as a ToolCOMMENT
MEDIUM09-metacognition/README.md1196### Using SQL as a Retrieval-Augmented Generation (RAG) TechniqueSTRING
MEDIUM04-tool-use/README.md270<a href="https://learn.microsoft.com/azure/ai-services/agents/overview" target="_blank">Microsoft Foundry Agent Service<CODE
MEDIUM13-agent-memory/README.md109#### Structured RAG (Retrieval Augmented Generation)COMMENT
MEDIUM13-agent-memory/README.md137### Storing Memory with RAGCOMMENT
MEDIUM08-multi-agent/README.md191- <a href="https://www.analyticsvidhya.com/blog/2024/10/agentic-design-patterns/" target="_blank">Agentic design patternCODE
MEDIUMtranslations/sl/STUDY_GUIDE.md137### RAG in znanjeCOMMENT
MEDIUMtranslations/sl/05-agentic-rag/README.md5# Agentic RAGCOMMENT
MEDIUMtranslations/sl/05-agentic-rag/README.md31## Kaj je Agentic RAG?COMMENT
MEDIUMtranslations/sl/05-agentic-rag/README.md37## Določanje Agentic Retrieval-Augmented Generation (Agentic RAG)COMMENT
MEDIUM⚡translations/sl/05-agentic-rag/README.md117### Imate več vprašanj o Agentic RAG?COMMENT
MEDIUM⚡translations/sl/05-agentic-rag/README.md125- <a href="https://weaviate.io/blog/what-is-agentic-rag" target="_blank">Kaj je Agentic RAG | Weaviate</a>CODE
MEDIUM⚡translations/sl/05-agentic-rag/README.md126- <a href="https://ragaboutit.com/agentic-rag-a-complete-guide-to-agent-based-retrieval-augmented-generation/" target="_CODE
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md1# 🔍 Enterprise RAG z Microsoft Foundry (.NET)COMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md13## 🎯 Arhitektura Enterprise RAGCOMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md29### Pipeline za Enterprise RAGCOMMENT
MEDIUM…-agentic-rag/code_samples/05-dotnet-agent-framework.md89## 📊 Vzorce Enterprise RAGCOMMENT
MEDIUMtranslations/sl/17-creating-local-ai-agents/README.md119## Lokalni RAGCOMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md241## 3. Korektivni RAG sistemCOMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md247### Retrieval-Augmented Generation (RAG)COMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md253### Korektivni pristop RAGCOMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md261#### Primer: Korektivni RAG v iskalnem agentuCOMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md269### Korektivni RAG v Potovalnem agentuCOMMENT
MEDIUM⚡translations/sl/09-metacognition/README.md279#### Koraki za implementacijo korektivnega RAG v Potovalnem agentuCOMMENT
MEDIUMtranslations/sl/09-metacognition/README.md639### RAG: tehnika pozivanja vs. orodjeCOMMENT
MEDIUMtranslations/sl/09-metacognition/README.md643#### RAG kot tehnika pozivanjaCOMMENT
MEDIUMtranslations/sl/09-metacognition/README.md662#### RAG kot orodjeCOMMENT
MEDIUMtranslations/sl/09-metacognition/README.md1198### Uporaba SQL kot tehnike Retrieval-Augmented Generation (RAG)STRING
MEDIUMtranslations/sl/13-agent-memory/README.md109#### Strukturirani RAG (Retrieval Augmented Generation)COMMENT
MEDIUMtranslations/sl/13-agent-memory/README.md137### Shranjevanje pomnilnika z RAGCOMMENT
MEDIUMtranslations/sl/08-multi-agent/README.md192- <a href="https://www.analyticsvidhya.com/blog/2024/10/agentic-design-patterns/" target="_blank">Agentni vzorci načrtovCODE
MEDIUM…-multi-agent/code_samples/08-dotnet-agent-framework.md36Celotna delujoča koda za to lekcijo je na voljo v pripadajoči C# datoteki: [`08-dotnet-agent-framework.cs`](../../../../CODE
MEDIUMtranslations/sk/STUDY_GUIDE.md137### RAG a vedomostiCOMMENT
MEDIUMtranslations/sk/05-agentic-rag/README.md5# Agentic RAGCOMMENT
MEDIUMtranslations/sk/05-agentic-rag/README.md31## Čo je Agentic RAG?COMMENT
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Cross-File Repetition951 hits · 4755 pts
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Hyper-Verbose Identifiers346 hits · 276 pts
SeverityFileLineSnippetContext
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Excessive Try-Catch Wrapping156 hits · 158 pts
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Structural Annotation Overuse62 hits · 95 pts
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Decorative Section Separators14 hits · 48 pts
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MEDIUM…ramework/code-samples/hotel_booking_workflow_sample.py47# ============================================================================COMMENT
MEDIUM…ramework/code-samples/hotel_booking_workflow_sample.py49# ============================================================================COMMENT
MEDIUM…ramework/code-samples/hotel_booking_workflow_sample.py75# ============================================================================COMMENT
MEDIUM…ramework/code-samples/hotel_booking_workflow_sample.py77# ============================================================================COMMENT
MEDIUM⚡…ramework/code-samples/hotel_booking_workflow_sample.py103# ============================================================================COMMENT
MEDIUM⚡…ramework/code-samples/hotel_booking_workflow_sample.py105# ============================================================================COMMENT
MEDIUM⚡…ramework/code-samples/hotel_booking_workflow_sample.py152# ============================================================================COMMENT
MEDIUM⚡…ramework/code-samples/hotel_booking_workflow_sample.py154# ============================================================================COMMENT
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Magic Placeholder Names7 hits · 30 pts
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Empty Error Handlers2 hits · 10 pts
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Self-Referential Comments3 hits · 10 pts
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AI Response Leakage2 hits · 10 pts
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HIGH07-planning-design/README.md267Magentic One - A Generalist multi-agent system for solving complex tasks and has achieved impressive results on multipleCODE
HIGHtranslations/en/07-planning-design/README.md267Magentic One - A Generalist multi-agent system for solving complex tasks and has achieved impressive results on multipleCODE
Deep Nesting9 hits · 9 pts
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Modern Structural Boilerplate5 hits · 5 pts
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LOWrequirements.txt1# Azure AI & IdentityCOMMENT
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Fake / Example Data2 hits · 2 pts
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Redundant / Tautological Comments1 hit · 2 pts
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LOW⚡11-agentic-protocols/code_samples/github-mcp/app.py58# Check if index already exists if not, create itCOMMENT
AI Structural Patterns1 hit · 1 pts
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