Interactive roadmaps, guides and other educational content to help developers grow in their careers.
This report summarizes scanner evidence for kamranahmedse/developer-roadmap, a TypeScript project with 370,840 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.
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? 47 finding(s).
Are imports declared and package/API names verified? 0 finding(s).
Are wrappers, guards, and repeated structures necessary? 2 finding(s).
Which changes need focused human review? 47 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 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.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …/content/what-is-agentic-loop@uOowDiCXVKyMFrZO1pnXv.md | 7 | - [@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.md | 7 | - [@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.md | 9 | - [@official@Agent-based hooks](https://code.claude.com/docs/en/hooks-guide#agent-based-hooks) | CODE |
| MEDIUM | …eering/content/output-control@wSf7Zr8ZYBuKWX0GQX6J3.md | 7 | - [@official@Increase Output Consistency - Anthropic](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-g | CODE |
| MEDIUM | …neering/content/hallucination@SWDa3Su3VS815WQbvvNsa.md | 7 | - [@official@Reduce hallucinations - Anthropic](https://platform.claude.com/docs/en/test-and-evaluate/strengthen-guardra | CODE |
| MEDIUM | …ring/content/prompt-injection@6W_ONYREbXHwPigoDx1cW.md | 7 | - [@official@Mitigate jailbreaks and prompt injections - Anthropic](https://platform.claude.com/docs/en/test-and-evaluat | CODE |
| MEDIUM | …rompt-engineering/content/rag@gxydtFKmnXNY9I5kpTwjP.md | 1 | # RAG | COMMENT |
| MEDIUM | …g/content/cache-aware-routing@3DR0Qvqu2qUTi9niU_63n.md | 7 | - [@article@Why Agentic Inference Needs Prefix-Aware Routing Infrastructure](https://www.coreweave.com/blog/why-agentic- | CODE |
| MEDIUM | …gineering/content/multi-cloud@d78UiI_FZyLsU6O52btXg.md | 8 | - [@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.md | 1 | # RAG Agent | COMMENT |
| MEDIUM | …tent/rag-and-vector-databases@wkS4yOJ3JdZQE_yBID8K7.md | 1 | # RAG and Vector Databases | COMMENT |
| MEDIUM | …ent/bias--toxicity-guardrails@EyLo2j8IQsIK91SKaXkmK.md | 7 | - [@article@Define the Agent Guardrails](https://trailhead.salesforce.com/content/learn/modules/agentforce-agent-plannin | CODE |
| MEDIUM | …ent/bias--toxicity-guardrails@EyLo2j8IQsIK91SKaXkmK.md | 8 | - [@article@How to Build Safe AI Agents: Best Practices for Guardrails](https://medium.com/@sahin.samia/how-to-build-saf | CODE |
| MEDIUM | …/understand-the-basics-of-rag@qwVQOwBTLA2yUgRISzC8k.md | 1 | # Understand the Basics of RAG | COMMENT |
| MEDIUM | …g/content/agentic-ai-security@FVsKivsJrIb82B0lpPmgw.md | 11 | - [@course@Agentic Goal Hijacking: Hands-on Exercise](https://ransomleak.com/exercises/agentic-goal-hijack/) | CODE |
| MEDIUM | …ontent/safety-filter-bypasses@j7uLLpt8MkZ1rqM7UBPW4.md | 8 | - [@article@How to Bypass Azure AI Content Safety Guardrails](https://mindgard.ai/blog/bypassing-azure-ai-content-safety | CODE |
| MEDIUM | …/true-negative--true-positive@M6uwyD4ibguxytf1od-og.md | 7 | - [@article@False Positives and False Negatives in Information Security](https://www.guardrails.io/blog/false-positives- | CODE |
| MEDIUM | …r/content/agent-architectures@axvABWpvFn6jGhtVX5YIb.md | 7 | - [@article@What is agentic architecture?](https://www.ibm.com/think/topics/agentic-architecture) | CODE |
| MEDIUM | …engineer/content/multi-agents@pDB2w6qDVFY9FFoqCX66K.md | 9 | - [@article@Agentic AI 103: Building Multi-Agent Teams](https://towardsdatascience.com/agentic-ai-103-building-multi-age | CODE |
| MEDIUM⚡ | …maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md | 7 | - [@official@Scaffold](https://developer.android.com/develop/ui/compose/components/scaffold) | CODE |
| MEDIUM⚡ | …maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md | 8 | - [@official@Create a scaffold component to hold the UI together](https://developer.android.com/develop/ui/compose/quick | CODE |
| MEDIUM⚡ | …maps/android/content/scaffold@U8iMGGOd2EgPxSuwSG39Z.md | 9 | - [@article@Understanding Scaffold in Jetpack Compose: A Comprehensive Guide](https://medium.com/@ramadan123sayed/unders | CODE |
| MEDIUM | …m-design/content/event-driven@NEsPjQifNDlZJE-2YLVl1.md | 7 | - [@article@Background Jobs - Event Driven Triggers](https://learn.microsoft.com/en-us/azure/architecture/best-practices | CODE |
| MEDIUM | …/content/rag--dynamic-filters@LnQ2AatMWpExUHcZhDIPd.md | 1 | # RAG and Dynamic Filters | COMMENT |
| MEDIUM | …maps/ai-engineer/content/rags@IX1BJWGwGmB4L063g0Frf.md | 1 | # RAG | COMMENT |
| MEDIUM | …ngineer/content/what-are-rags@lVhWhZGR558O-ljHobxIi.md | 1 | # RAG & Implementation | COMMENT |
| MEDIUM | …engineer/content/multi-agents@kG1bkF2oY21CJOm9zhdpn.md | 10 | - [@article@Agentic AI 103: Building Multi-Agent Teams](https://towardsdatascience.com/agentic-ai-103-building-multi-age | CODE |
| MEDIUM | …ineer/content/external-memory@KWjD4xEPhOOYS51dvRLd2.md | 7 | - [@article@How to Maximize Agentic Memory for Continual Learning](https://towardsdatascience.com/how-to-maximize-agenti | CODE |
| MEDIUM | …er/content/rag-vs-fine-tuning@qlBEXrbV88e_wAGRwO9hW.md | 1 | # RAG vs Fine-tuning | COMMENT |
| MEDIUM | …engineer/content/rag-usecases@GCn4LGNEtPI0NWYAZCRE-.md | 1 | # RAG Usecases | COMMENT |
| MEDIUM | …ntent/rag-and-dynamic-filters@LnQ2AatMWpExUHcZhDIPd.md | 1 | # RAG and Dynamic Filters | COMMENT |
| MEDIUM | …dmaps/ai-engineer/content/rag@IX1BJWGwGmB4L063g0Frf.md | 1 | # RAG | COMMENT |
| MEDIUM | …r/content/context-engineering@kCiHNaZ9CgnS9uksIQ_SY.md | 9 | - [@article@How to Perform Effective Agentic Context Engineering](https://towardsdatascience.com/how-to-perform-effectiv | CODE |
| MEDIUM | roadmaps/seo/content/rag@nVLFIaDXF9XWNUPwIg5T2.md | 1 | # RAG | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 5 | ### Step 1: Find an Issue or Feature | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 9 | ### Step 2: Familiarize Yourself with the Codebase | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 13 | ### Step 3: Set up the Development Environment | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 17 | ### Step 4: Write the Patch | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 21 | ### Step 5: Test the Patch | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 25 | ### Step 6: Create a Commit and Generate a Patch | COMMENT |
| LOW⚡ | …l-dba/content/writing-patches@eQzMU_KyQmHJQ6gzyk0-1.md | 29 | ### Step 7: Submit the Patch | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …ent/purpose-and-functionality@WcjX6p-V-Rdd77EL8Ega9.md | 3 | A vector database is designed to store, manage, and retrieve high-dimensional vectors (embeddings) generated by AI model | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …s/redis/content/more-commands@2SG4Hr9Tuv6cxmGkrKjYZ.md | 1 | # More Commands | COMMENT |
| LOW | …tent/usecases--best-practices@Z6yJwUkcDX08HoMyf1LwX.md | 1 | # Usecases / Best Practices | COMMENT |
| LOW | roadmaps/ai-data-scientist/content/index.md | 1 | # | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/lib/official-roadmap-topic.ts | 48 | export function formatOfficialRoadmapTopicResourceLink( | CODE |
| LOW | scripts/lib/official-roadmap-topic.ts | 54 | export function prepareOfficialRoadmapTopicContent( | CODE |