A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This report summarizes scanner evidence for aishwaryanr/awesome-generative-ai-guide, a HTML project with 29,759 GitHub stars. SynthScan examined 53,110 lines of code across 301 source files, recording 458 pattern matches distributed across 14 syntactic categories. The legacy adjusted pattern signal is 21.5 (Elevated 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.
Can maintainers explain intent, assumptions, and trade-offs? 403 finding(s).
Are imports declared and package/API names verified? 10 finding(s).
Are wrappers, guards, and repeated structures necessary? 45 finding(s).
Which changes need focused human review? 458 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 458 distinct pattern matches across 14 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 |
|---|---|---|---|---|
| MEDIUM | courses.md | 49 | ## Retrieval and RAG | COMMENT |
| MEDIUM | courses.md | 65 | - 🆕 **[Retrieval Augmented Generation (RAG)](https://www.deeplearning.ai/courses/retrieval-augmented-generation)** 🌐 🎥 ( | CODE |
| MEDIUM⚡ | courses.md | 100 | - **[AI Agentic Design Patterns with AutoGen](https://www.deeplearning.ai/short-courses/ai-agentic-design-patterns-with- | CODE |
| MEDIUM⚡ | courses.md | 102 | - **[Building Agentic RAG with LlamaIndex](https://www.deeplearning.ai/short-courses/building-agentic-rag-with-llamainde | CODE |
| MEDIUM⚡ | courses.md | 105 | - **[ChatGPT and Zapier: Agentic AI for Everyone](https://www.coursera.org/learn/agentic-ai-chatgpt-zapier)** 🌐 📖 by Cou | CODE |
| MEDIUM⚡ | courses.md | 111 | - 🆕 **[Claude Code in Action](https://anthropic.skilljar.com/claude-code-in-action)** 🌐 🎥 (2025) by Anthropic Academy: a | CODE |
| MEDIUM⚡ | courses.md | 113 | - 🆕 **[OpenAI Codex Essentials](https://www.freecodecamp.org/news/openai-codex-essentials-ai-assisted-agentic-developmen | CODE |
| MEDIUM⚡ | courses.md | 122 | - 🆕 **[LLM Evaluations Course](https://www.evidentlyai.com/llm-evaluations-course)** 🌐 🎥 (2025) by Evidently AI: judges, | CODE |
| MEDIUM⚡ | README.md | 29 | | 🏗️ **[Build AI](journeys/build.md)** | [how LLMs work enough to build; the app stack; your first LLM app](journeys/bui | CODE |
| MEDIUM⚡ | README.md | 29 | | 🏗️ **[Build AI](journeys/build.md)** | [how LLMs work enough to build; the app stack; your first LLM app](journeys/bui | CODE |
| MEDIUM⚡ | README.md | 30 | | 🔬 **[Understand AI](journeys/understand.md)** | [transformers; key papers; how to read a paper](journeys/understand.md | CODE |
| MEDIUM | research_updates/ai_evaluation_2025_table.md | 25 | | [AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents](https://arxiv.org/abs/2602.06855) | AIRS-Bench | CODE |
| MEDIUM | research_updates/rag_research_table.md | 1 | # :star2: Most Impactful RAG Papers | COMMENT |
| MEDIUM⚡ | research_updates/rag_research_table.md | 24 | | [ChartWalker: Benchmarking the Cross-Chart RAG Task](https://arxiv.org/abs/2606.23997) | This paper introduces ChartWa | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 25 | | [EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory](https://arxiv.org/abs/2606.216 | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 26 | | [Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why](https://arxiv.org/ab | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 35 | | [LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG](https://arxiv.org/abs/2605.06285) | This paper p | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 36 | | [Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction](https://arxiv.org/ | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 37 | | [Latent Abstraction for Retrieval-Augmented Generation](https://arxiv.org/abs/2604.17866) | This paper introduces a la | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 38 | | [RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary P | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 39 | | [Beyond RAG for Cyber Threat Intelligence: A Systematic Evaluation of Graph-Based and Agentic Retrieval](https://arxiv | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 40 | | [Doctor-RAG: Failure-Aware Repair for Agentic Retrieval-Augmented Generation](https://arxiv.org/abs/2604.00865) | This | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 41 | | [SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions](http | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 42 | | [A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces](https://arxiv.org/abs/26 | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 49 | | [RAGBoost: Efficient Retrieval-Augmented Generation with Accuracy-Preserving Context Reuse](https://arxiv.org/abs/2511 | CODE |
| MEDIUM⚡ | research_updates/rag_research_table.md | 54 | | [Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs](https://arxiv.org/abs/2507.09477) | CODE |
| MEDIUM | research_updates/rag_research_table.md | 78 | |[Agentic Retrieval-Augmented Generation for Time Series Analysis](https://arxiv.org/abs/2408.14484)|This paper introduc | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 28 | | [OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents](https://arxiv.org/abs/2605.05185) | This paper i | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 30 | | [Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction](https://arxiv.org/ | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 32 | | [DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data](https://arxiv.org/abs/2604.19859) | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 36 | | [MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification](https://arxiv.org/abs/2603.15726) | This p | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 40 | | [A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces](https://arxiv.org/abs/26 | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 44 | | [Agentic Reasoning for Large Language Models](https://arxiv.org/abs/2601.12538) | This paper explores agentic reasonin | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 45 | | [Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning](https:// | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 53 | | [From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents](https://arxiv.org/abs/2506 | CODE |
| MEDIUM⚡ | research_updates/agentic_search_retrieval_table.md | 57 | | [Search-o1: Agentic Search-Enhanced Large Reasoning Models](https://arxiv.org/abs/2501.05366) | This paper introduces | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 3 | | 29th June 2026 | [Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent](h | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 4 | | 27th June 2026 | [Agentic Abstention: Do Agents Know When to Stop Instead of Act?](https://arxiv.org/abs/2606.28733) | | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 5 | | 23rd June 2026 | [Qwen-AgentWorld: Language World Models for General Agents](https://arxiv.org/abs/2606.24597) | A wor | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 7 | | 21st June 2026 | [PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 8 | | 16th June 2026 | [LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling](https://arxiv.org/abs/2606 | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 11 | | 13th June 2026 | [Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 14 | | 11th June 2026 | [MiniMax Sparse Attention](https://arxiv.org/abs/2606.13392) | Ultra-long-context capability is becom | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 22 | | 9th June 2026 | [Kwai Keye-VL-2.0 Technical Report](https://arxiv.org/abs/2606.10651) | We introduce Kwai Keye-VL-2.0- | CODE |
| MEDIUM⚡ | research_updates/2026_papers/june_list.md | 25 | | 5th June 2026 | [SWE-Explore: Benchmarking How Coding Agents Explore Repositories](https://arxiv.org/abs/2606.07297) | | CODE |
| MEDIUM⚡ | research_updates/2026_papers/february_list.md | 7 | | 17th February 2026 | [GLM-5: from Vibe Coding to Agentic Engineering](https://arxiv.org/abs/2602.15763) | We present G | CODE |
| MEDIUM⚡ | research_updates/2026_papers/february_list.md | 12 | | 11th February 2026 | [Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters](https://arxiv.org/a | CODE |
| MEDIUM⚡ | research_updates/2026_papers/february_list.md | 20 | | 6th February 2026 | [AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents](https://arxiv.org/abs/2602. | CODE |
| MEDIUM⚡ | research_updates/2026_papers/february_list.md | 27 | | 3rd February 2026 | [AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration](https://arxiv.org/abs/2602.0 | CODE |
| MEDIUM⚡ | research_updates/2026_papers/february_list.md | 28 | | 2nd February 2026 | [Kimi K2.5: Visual Agentic Intelligence](https://arxiv.org/abs/2602.02276) | We introduce Kimi K2. | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 3 | | 29th January 2026 | [Scaling Embeddings Outperforms Scaling Experts in Language Models](https://arxiv.org/abs/2601.212 | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 6 | | 26th January 2026 | [daVinci-Dev: Agent-native Mid-training for Software Engineering](https://arxiv.org/abs/2601.18418 | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 7 | | 26th January 2026 | [AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security](https://arxiv.org/ab | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 8 | | 23rd January 2026 | [LongCat-Flash-Thinking-2601 Technical Report](https://arxiv.org/abs/2601.16725) | We introduce Lo | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 10 | | 22nd January 2026 | [Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs](https://ar | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 11 | | 22nd January 2026 | [EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience](https://arx | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 12 | | 22nd January 2026 | [LLM-in-Sandbox Elicits General Agentic Intelligence](https://arxiv.org/abs/2601.16206) | We intro | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 14 | | 18th January 2026 | [Agentic Reasoning for Large Language Models](https://arxiv.org/abs/2601.12538) | Reasoning is a f | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 16 | | 14th January 2026 | [DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluati | CODE |
| MEDIUM⚡ | research_updates/2026_papers/january_list.md | 24 | | 11th January 2026 | [MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences](https://arxiv. | CODE |
| 239 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 33 | ### Step 1: Understand Your Evaluation Context | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 44 | ### Step 2: Build Your Reference Dataset | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 63 | ### Step 3: Implement Your Evaluation Metrics | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 89 | ### Step 4: Deploy Smart Log Filtering | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 108 | ### Step 5: Select and Deploy Your Production Metrics | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 126 | ### Step 6: Implement Guardrails and Improvement Loops | COMMENT |
| LOW | …i_evals_for_everyone/chapters/08_evaluation_process.md | 144 | ### Step 7: Build Emerging Issue Discovery | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 48 | ## Step 1: Generate Your Initial Examples | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 75 | ## Step 2: Run Your System on the Examples | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 83 | ## Step 3: Evaluate Alignment with Domain Experts | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 104 | ## Step 4: Identify Error Patterns | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 129 | ## Step 5: Decide Which Metrics You Need | COMMENT |
| LOW | …or_everyone/chapters/04_building_reference_datasets.md | 163 | ## Step 6: Iterate and Expand | COMMENT |
| LOW | …stery_for_everyone/days/day-05-give-it-skills/build.md | 35 | ## Step 1: Inspect a ClawHub Skill | COMMENT |
| LOW | …stery_for_everyone/days/day-05-give-it-skills/build.md | 45 | ## Step 2: Install `document-summary` | COMMENT |
| LOW | …stery_for_everyone/days/day-05-give-it-skills/build.md | 68 | ## Step 3: Create `quick-note` | COMMENT |
| LOW | …stery_for_everyone/days/day-05-give-it-skills/build.md | 93 | ## Step 4: Finalize and Verify | COMMENT |
| LOW | …ry_for_everyone/days/day-03-connect-a-channel/build.md | 20 | ## Step 1: Start the Setup in Web Chat | COMMENT |
| LOW | …stery_for_everyone/days/day-01-install-secure/build.md | 26 | ### Step 4: Run the Security Verification | COMMENT |
| LOW | …stery_for_everyone/days/day-01-install-secure/build.md | 44 | ### Step 5: Name Your Claw | COMMENT |
| LOW | …tery_for_everyone/days/day-10-what-comes-next/build.md | 30 | ## Step 1: Open the Assessment | COMMENT |
| LOW | …tery_for_everyone/days/day-10-what-comes-next/build.md | 40 | ## Step 2: Run the Final Review | COMMENT |
| LOW | …tery_for_everyone/days/day-10-what-comes-next/build.md | 58 | ## Step 3: Paste the Optional Code | COMMENT |
| LOW | …ry_for_everyone/days/day-04-make-it-proactive/build.md | 19 | ## Step 1: Start the Setup in Web Chat | COMMENT |
| LOW | …mastery_for_everyone/days/day-08-let-it-write/build.md | 36 | ## Step 1: Inspect the Send Side of `imap-smtp-email` | COMMENT |
| LOW | …mastery_for_everyone/days/day-08-let-it-write/build.md | 46 | ## Step 2: Configure Outbound Email | COMMENT |
| LOW | …mastery_for_everyone/days/day-08-let-it-write/build.md | 65 | ## Step 3: Create `follow-up-email` | COMMENT |
| LOW | …mastery_for_everyone/days/day-08-let-it-write/build.md | 84 | ## Step 4: Finalize and Verify | COMMENT |
| LOW | …tery_for_everyone/days/day-06-tame-your-inbox/build.md | 38 | ## Step 1: Create a Gmail App Password | COMMENT |
| LOW | …tery_for_everyone/days/day-06-tame-your-inbox/build.md | 53 | ## Step 2: Inspect `imap-smtp-email` | COMMENT |
| LOW | …tery_for_everyone/days/day-06-tame-your-inbox/build.md | 63 | ## Step 3: Install `imap-smtp-email` | COMMENT |
| LOW | …tery_for_everyone/days/day-06-tame-your-inbox/build.md | 81 | ## Step 4: Create `email-triage` | COMMENT |
| LOW | …tery_for_everyone/days/day-06-tame-your-inbox/build.md | 100 | ## Step 5: Finalize and Verify | COMMENT |
| LOW | …stery_for_everyone/days/day-02-give-it-a-soul/build.md | 33 | ## Step 1: Create SOUL.md | COMMENT |
| LOW | …stery_for_everyone/days/day-02-give-it-a-soul/build.md | 56 | ## Step 2: Create USER.md | COMMENT |
| LOW | …stery_for_everyone/days/day-02-give-it-a-soul/build.md | 68 | ## Step 3: Create AGENTS.md | COMMENT |
| LOW | …stery_for_everyone/days/day-02-give-it-a-soul/build.md | 86 | ## Step 4: Create MEMORY.md | COMMENT |
| LOW | …stery_for_everyone/days/day-02-give-it-a-soul/build.md | 103 | ## Step 5: Lock It Down and Verify | COMMENT |
| LOW | …stery_for_everyone/days/day-09-give-it-a-team/build.md | 34 | ## Step 1: Confirm the Writer Model | COMMENT |
| LOW | …stery_for_everyone/days/day-09-give-it-a-team/build.md | 44 | ## Step 2: Create `writer` | COMMENT |
| LOW | …stery_for_everyone/days/day-09-give-it-a-team/build.md | 62 | ## Step 3: Connect the Team | COMMENT |
| LOW | …ery_for_everyone/days/day-07-make-it-research/build.md | 37 | ## Step 1: Get Your Brave Search API Key | COMMENT |
| LOW | …ery_for_everyone/days/day-07-make-it-research/build.md | 51 | ## Step 2: Inspect `web_search` | COMMENT |
| LOW | …ery_for_everyone/days/day-07-make-it-research/build.md | 61 | ## Step 3: Configure `web_search` | COMMENT |
| LOW | …ery_for_everyone/days/day-07-make-it-research/build.md | 76 | ## Step 4: Create `research-brief` | COMMENT |
| LOW | interview_prep/system-design/sdr-sales-agent/README.md | 29 | ### Step 1: scope before you architect | COMMENT |
| LOW | interview_prep/system-design/sdr-sales-agent/README.md | 58 | ### Step 2: walk the layers for this system | COMMENT |
| LOW | interview_prep/system-design/sdr-sales-agent/README.md | 260 | ### Step 3: the architecture | COMMENT |
| LOW | …prep/system-design/financial-ops-decisioning/README.md | 29 | ### Step 1: scope before you architect | COMMENT |
| LOW | …prep/system-design/financial-ops-decisioning/README.md | 57 | ### Step 2: walk the layers for this system | COMMENT |
| LOW | …prep/system-design/financial-ops-decisioning/README.md | 238 | ### Step 3: the architecture | COMMENT |
| LOW | …ew_prep/system-design/customer-support-agent/README.md | 29 | ### Step 1: scope before you architect | COMMENT |
| LOW | …ew_prep/system-design/customer-support-agent/README.md | 57 | ### Step 2: walk the layers for this system | COMMENT |
| LOW | …ew_prep/system-design/customer-support-agent/README.md | 243 | ### Step 3: the architecture | COMMENT |
| LOW | interview_prep/system-design/coding-agent/README.md | 29 | ### Step 1: scope before you architect | COMMENT |
| LOW | interview_prep/system-design/coding-agent/README.md | 57 | ### Step 2: walk the layers for this system | COMMENT |
| LOW | interview_prep/system-design/coding-agent/README.md | 222 | ### Step 3: the architecture | COMMENT |
| LOW | …rview_prep/system-design/voice-support-agent/README.md | 29 | ### Step 1: scope before you architect | COMMENT |
| LOW | …rview_prep/system-design/voice-support-agent/README.md | 58 | ### Step 2: walk the layers for this system | COMMENT |
| LOW | …rview_prep/system-design/voice-support-agent/README.md | 320 | ### Step 3: the architecture | COMMENT |
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| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …terview_prep/system-design/sdr-sales-agent/code/llm.py | 60 | except Exception: | CODE |
| HIGH | …_prep/system-design/customer-support-agent/code/llm.py | 59 | except Exception: | CODE |
| HIGH | interview_prep/system-design/coding-agent/code/llm.py | 70 | except Exception: | CODE |
| HIGH | …iew_prep/system-design/voice-support-agent/code/llm.py | 65 | except Exception: | CODE |
| HIGH | …ystem-design/enterprise-research-assistant/code/llm.py | 68 | except Exception: | CODE |
| HIGH | …ystem-design/enterprise-research-assistant/code/llm.py | 88 | except Exception: | CODE |
| HIGH | …ew_prep/system-design/document-decisioning/code/llm.py | 71 | except Exception: | CODE |
| HIGH | …w_prep/system-design/text-to-sql-analytics/code/llm.py | 133 | except Exception: | CODE |
| HIGH | …w_prep/system-design/text-to-sql-analytics/code/llm.py | 177 | except Exception: | CODE |
| HIGH | …terview_prep/system-design/clinical-scribe/code/llm.py | 105 | except Exception: | CODE |
| HIGH | …terview_prep/system-design/clinical-scribe/code/llm.py | 175 | except Exception: | CODE |
| HIGH | …ep/system-design/security-compliance-agent/code/llm.py | 61 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …_prep/system-design/customer-support-agent/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | interview_prep/system-design/coding-agent/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | …iew_prep/system-design/voice-support-agent/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | …ystem-design/enterprise-research-assistant/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | …ew_prep/system-design/document-decisioning/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | …terview_prep/system-design/clinical-scribe/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| HIGH | …ep/system-design/security-compliance-agent/code/llm.py | 0 | return a provider-agnostic chat model, or none to run the offline policy. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | research_updates/2024_papers/september_list.md | 30 | | 10th September 2024 | [Can Large Language Models Unlock Novel Scientific Research Ideas?](http://arxiv.org/abs/2409.06 | CODE |
| HIGH⚡ | research_updates/2024_papers/october_list.md | 25 | | 18th October 2024 | [Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts](http: | CODE |
| HIGH⚡ | research_updates/2024_papers/october_list.md | 33 | | 13th October 2024 | [LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models](http://ar | CODE |
| HIGH | research_updates/2025_papers/january_list.md | 47 | | 31st December 2024 | [MLLM-as-a-Judge for Image Safety without Human Labeling](http://arxiv.org/abs/2501.00192v1) | Im | CODE |
| HIGH | …pplied_LLMs_Mastery_2024/week9_challenges_with_llms.md | 103 | The framework is extensively evaluated across four modern LLMs, revealing a significant prevalence of self-contradiction | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | research_updates/state_of_ai_2025_report/index.html | 1699 | <p style="font-size: 0.7rem; color: #888; margin-top: 0.2rem;">Source: <a href="https://github.com/h | CODE |
| MEDIUM | research_updates/state_of_ai_2025_report/index.html | 1699 | <p style="font-size: 0.7rem; color: #888; margin-top: 0.2rem;">Source: <a href="https://github.com/h | CODE |
| MEDIUM | …e_of_ai_2025_report/sections/03-application-layer.html | 756 | <p style="font-size: 0.7rem; color: #888; margin-top: 0.2rem;">Source: <a href="https://github.com/h | CODE |
| MEDIUM | …e_of_ai_2025_report/sections/03-application-layer.html | 756 | <p style="font-size: 0.7rem; color: #888; margin-top: 0.2rem;">Source: <a href="https://github.com/h | CODE |
| MEDIUM | free_courses/ai_evals_for_everyone/slides.html | 3463 | <h3 style="color: #ef4444;">"I need comprehensive coverage from day one"</h3> | CODE |
| MEDIUM | …w_prep/system-design/sdr-sales-agent/code/sdr_agent.py | 73 | d["body"] = d["body"] + "\n\n" + compliant_footer() # harness guarantees the CAN-SPAM elements | CODE |
| MEDIUM | …erview_prep/system-design/coding-agent/code/sandbox.py | 37 | # is the verifier. A real harness would gate the write tools and sandbox run_tests; here the | COMMENT |
| MEDIUM⚡ | …erview_prep/system-design/coding-agent/code/sandbox.py | 82 | exec(repo[path], namespace) # the sandbox: a real harness runs this in an isolated subprocess | CODE |
| MEDIUM | interview_prep/system-design/coding-agent/code/agent.py | 42 | plan: List[str] # a small todo list the harness decomposes the task into | CODE |
| MEDIUM | interview_prep/system-design/coding-agent/code/agent.py | 43 | decision: dict # the harness's chosen next action | CODE |
| MEDIUM | interview_prep/system-design/coding-agent/code/agent.py | 70 | # --- the agent node: decide the next action (control flow lives in the harness) -------- | COMMENT |
| MEDIUM | interview_prep/system-design/coding-agent/code/agent.py | 97 | # --- tool nodes: the harness executes what the agent asked for ------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …terview_prep/system-design/sdr-sales-agent/code/llm.py | 46 | except Exception: | CODE |
| LOW | …terview_prep/system-design/sdr-sales-agent/code/llm.py | 60 | except Exception: | CODE |
| LOW | …ep/system-design/financial-ops-decisioning/code/llm.py | 55 | except Exception: | CODE |
| LOW | …ep/system-design/financial-ops-decisioning/code/llm.py | 66 | except Exception: | CODE |
| LOW | …_prep/system-design/customer-support-agent/code/llm.py | 49 | except Exception: | CODE |
| LOW | …_prep/system-design/customer-support-agent/code/llm.py | 59 | except Exception: | CODE |
| LOW | interview_prep/system-design/coding-agent/code/llm.py | 52 | except Exception: | CODE |
| LOW | interview_prep/system-design/coding-agent/code/llm.py | 70 | except Exception: | CODE |
| LOW⚡ | …erview_prep/system-design/coding-agent/code/sandbox.py | 83 | except Exception as exc: # a file that does not even import is a hard failure | CODE |
| LOW⚡ | …erview_prep/system-design/coding-agent/code/sandbox.py | 89 | except Exception as exc: | CODE |
| LOW | …iew_prep/system-design/voice-support-agent/code/llm.py | 55 | except Exception: | CODE |
| LOW | …iew_prep/system-design/voice-support-agent/code/llm.py | 65 | except Exception: | CODE |
| LOW | …ystem-design/enterprise-research-assistant/code/llm.py | 53 | except Exception: | CODE |
| LOW | …ystem-design/enterprise-research-assistant/code/llm.py | 68 | except Exception: | CODE |
| LOW | …ystem-design/enterprise-research-assistant/code/llm.py | 88 | except Exception: | CODE |
| LOW | …ew_prep/system-design/document-decisioning/code/llm.py | 61 | except Exception: | CODE |
| LOW | …ew_prep/system-design/document-decisioning/code/llm.py | 71 | except Exception: | CODE |
| LOW | …w_prep/system-design/text-to-sql-analytics/code/llm.py | 46 | except Exception: | CODE |
| LOW | …w_prep/system-design/text-to-sql-analytics/code/llm.py | 133 | except Exception: | CODE |
| LOW | …w_prep/system-design/text-to-sql-analytics/code/llm.py | 177 | except Exception: | CODE |
| LOW | …/system-design/text-to-sql-analytics/code/sql_agent.py | 75 | except Exception as e: # sqlite3.Error and friends | CODE |
| LOW | …terview_prep/system-design/clinical-scribe/code/llm.py | 67 | except Exception: | CODE |
| LOW | …terview_prep/system-design/clinical-scribe/code/llm.py | 105 | except Exception: | CODE |
| LOW | …terview_prep/system-design/clinical-scribe/code/llm.py | 175 | except Exception: | CODE |
| LOW | …ep/system-design/security-compliance-agent/code/llm.py | 47 | except Exception: | CODE |
| LOW | …ep/system-design/security-compliance-agent/code/llm.py | 61 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | free_courses/openclaw_mastery_for_everyone/FAQ.md | 50 | 2. **AI API usage**: Depends on your provider and how much you use your Claw. Mid-tier models are significantly cheaper | CODE |
| HIGH | free_courses/openclaw_mastery_for_everyone/README.md | 81 | - An API key from your preferred AI provider ([here's how to get one](getting-your-api-key.md)) | CODE |
| HIGH | …stery_for_everyone/days/day-01-install-secure/build.md | 11 | If you don't already have an API key for one of the LLMs, follow [this guide](../../getting-your-api-key.md) to get one. | CODE |
| HIGH⚡ | journeys/use.md | 28 | - **[OpenClaw Mastery for Everyone](../free_courses/openclaw_mastery_for_everyone/README.md)** ⭐ 📖 (2026) certified: a 1 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …ep/system-design/sdr-sales-agent/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …design/financial-ops-decisioning/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …em-design/customer-support-agent/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …_prep/system-design/coding-agent/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …ystem-design/voice-support-agent/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …gn/enterprise-research-assistant/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …stem-design/document-decisioning/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …tem-design/text-to-sql-analytics/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …ep/system-design/clinical-scribe/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| LOW | …design/security-compliance-agent/code/requirements.txt | 1 | langgraph>=0.2 | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …ep/system-design/financial-ops-decisioning/code/llm.py | 131 | '{"vendor": str|null, "invoice_id": str|null, "amount": number|null, ' | CODE |
| HIGH | …ep/system-design/financial-ops-decisioning/code/llm.py | 132 | '"currency": str|null, "date": "YYYY-MM-DD"|null, "category": str|null}\n' | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …pplied_LLMs_Mastery_2024/week9_challenges_with_llms.md | 122 | Another mechanism to defend LLMs against adversarial attacks involves the use of a perplexity filter as presented in [th | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | research_updates/state_of_ai_2025_report/build.py | 12 | CODE | |
| LOW | …ystem-design/enterprise-research-assistant/code/llm.py | 23 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | free_courses/ai_evals_for_everyone/slides.html | 1130 | <td class="placeholder">[Generated response]</td> | CODE |
| LOW | free_courses/ai_evals_for_everyone/slides.html | 1135 | <td class="placeholder">[Generated response]</td> | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | interview_prep/system-design/coding-agent/code/agent.py | 72 | CODE |