SaaS platform that automatically scans Node.js microservice repositories to detect distributed systems anti-patterns (hardcoded URLs, missing circuit breakers, tight coupling) and generates actionable refactoring suggestions
Built for: Backend engineers, tech leads, and DevOps teams managing Node.js microservice architectures at scale (10+ services)
This MVP was autonomously generated by MVP Factory v11 using a free-tier AI API (NVIDIA / Kimi K2.5). Simple logic runs for real. Complex external dependencies are stubbed so the app always works.
| Layer | What it does |
|---|---|
| ✅ Frontend UI | Fully interactive — forms submit, responses render, auth guard works |
| ✅ Input validation | Every API route checks required fields, returns 400 on bad input |
| ✅ Calculations & scoring | Algorithms (risk scores, percentages, rankings, text analysis) run in pure TypeScript |
| ✅ Rule-based logic | Classification, tier detection, flag rules — all real code |
| ✅ Auth flow | Email+password client validation → localStorage token → dashboard guard |
| Feature | Current State | Why it's stubbed | How to fix it |
|---|---|---|---|
| 🗄️ Database persistence | In-memory arrays (resets on restart) | No DB provisioned in free tier | See Step 1 below |
| 🤖 AI/LLM responses | Hardcoded plausible strings | NVIDIA free API has strict rate limits during bulk builds | See Step 2 below |
| 🔐 Real authentication | localStorage demo token | No JWT/session infra provisioned | See Step 3 below |
| 📧 Email / notifications | Logged + returns {sent: true} |
No email service configured | See Step 4 below |
| 💳 Payments | Returns demo status | Stripe not configured | See Step 5 below |
# Option A: Supabase (Postgres, free tier)
npm install @supabase/supabase-js
# In each route: import { createClient } from '@supabase/supabase-js'
# Replace the mock array with: const { data } = await supabase.from('table').select()
# Option B: PlanetScale (MySQL, free tier)
npm install @planetscale/databaseLook for
// TODO: replace with DBcomments insrc/app/api/**/route.ts
// In any API route, replace the hardcoded AI string with:
const res = await fetch('https://integrate.api.nvidia.com/v1/chat/completions', {
method: 'POST',
headers: { 'Authorization': `Bearer ${process.env.NVIDIA_API_KEY}`,
'Content-Type': 'application/json' },
body: JSON.stringify({
model: 'moonshotai/kimi-k2.5',
messages: [{ role: 'user', content: yourPrompt }],
max_tokens: 1024
})
});
const { choices } = await res.json();
return NextResponse.json({ result: choices[0].message.content });Add
NVIDIA_API_KEY=your_keyto.env.local
npm install next-auth
# 1. Create src/app/api/auth/[...nextauth]/route.ts with your provider
# 2. Replace localStorage.setItem("auth_token",...) in auth/page.tsx with signIn()
# 3. Replace localStorage.getItem("auth_token") in dashboard/page.tsx with useSession()npm install resend
# Replace the { sent: true } mock in notification routes with:
# await resend.emails.send({ from: 'you@domain.com', to: email, subject, html })npm install stripe @stripe/stripe-js
# Replace demo payment routes with real Stripe checkout sessionsAll the UI is already wired up. Every form already calls the right API route. You only need to swap the stubbed returns for real implementations.
Development teams running 30+ Node.js microservices repeatedly ship the same architectural anti-patterns—hardcoded service URLs, missing circuit breakers, insufficient health checks—causing cascading production failures that could be prevented with automated architectural linting
- ❌ Production outages caused by missing circuit breakers during downstream service failures
- ❌ Manual code review bottlenecks when onboarding new microservices
- ❌ Inconsistent architectural standards across 30+ services
- ❌ Hardcoded URLs breaking when services move or scale
AST-based static analysis engine that parses JS/TS files to detect hardcoded HTTP URLs and service endpoints outside of config files
Circuit breaker pattern detection analyzing package.json for resilience libraries (opossum, resilience4j) and verifying implementation in HTTP client code
Health check validation scanning Express/Fastify/NestJS route definitions to ensure proper /health and /ready endpoints exist with correct response formats
Cross-service coupling analyzer building dependency graphs from import statements to identify tight coupling between domains
GitHub/GitLab PR integration that automatically comments with specific file-level refactoring suggestions and severity scores
A step-by-step breakdown of how each feature is built. Use this as your dev roadmap.
🔥 1. AST-based static analysis engine that parses JS/TS files to detect hardcoded HTTP URLs and service endpoints outside of config files
What it does: AST-based static analysis engine that parses JS/TS files to detect hardcoded HTTP URLs and service endpoints outside of config files
How to implement:
| Step | What to do |
|---|---|
| 1. API Route | Create src/app/api/ast-based-static-analysis-engine-that-parses-js-ts-files-to-detect-hardcoded-http-urls-and-service-endpoints-outside-of-config-files/route.ts with a POST handler |
| 2. Input Schema | Accept { userId?, ...featureParams } in the request body |
| 3. Server Logic | Process the request, call external APIs if needed, return JSON |
| 4. UI Component | Create src/components/ASTbasedstaticanalysisenginethatparsesJSTSfilestodetecthardcodedHTTPURLsandserviceendpointsoutsideofconfigfilesSection.tsx |
| 5. Wire up | Call /api/ast-based-static-analysis-engine-that-parses-js-ts-files-to-detect-hardcoded-http-urls-and-service-endpoints-outside-of-config-files from the component using fetch on form submit |
Potential enhancements:
- ⚡ Cache repeated lookups with
unstable_cacheor Redis - 🔒 Add rate limiting to
/api/ast-based-static-analysis-engine-that-parses-js-ts-files-to-detect-hardcoded-http-urls-and-service-endpoints-outside-of-config-files(e.g. Upstash Ratelimit) - 📱 Make the UI section responsive-first (mobile breakpoints)
- 📊 Log feature usage to analytics (Plausible / PostHog)
- 🧪 Add an integration test for the API route
What it does: Circuit breaker pattern detection analyzing package.json for resilience libraries (opossum, resilience4j) and verifying implementation in HTTP client code
How to implement:
| Step | What to do |
|---|---|
| 1. API Route | Create src/app/api/circuit-breaker-pattern-detection-analyzing-package-json-for-resilience-libraries/route.ts with a POST handler |
| 2. Input Schema | Accept { userId?, ...featureParams } in the request body |
| 3. Server Logic | Process the request, call external APIs if needed, return JSON |
| 4. UI Component | Create src/components/CircuitbreakerpatterndetectionanalyzingpackagejsonforresiliencelibrariesSection.tsx |
| 5. Wire up | Call /api/circuit-breaker-pattern-detection-analyzing-package-json-for-resilience-libraries from the component using fetch on form submit |
Potential enhancements:
- ⚡ Cache repeated lookups with
unstable_cacheor Redis - 🔒 Add rate limiting to
/api/circuit-breaker-pattern-detection-analyzing-package-json-for-resilience-libraries(e.g. Upstash Ratelimit) - 📱 Make the UI section responsive-first (mobile breakpoints)
- 📊 Log feature usage to analytics (Plausible / PostHog)
- 🧪 Add an integration test for the API route
🎨 3. Health check validation scanning Express/Fastify/NestJS route definitions to ensure proper /health and /ready endpoints exist with correct response formats
What it does: Health check validation scanning Express/Fastify/NestJS route definitions to ensure proper /health and /ready endpoints exist with correct response formats
How to implement:
| Step | What to do |
|---|---|
| 1. API Route | Create src/app/api/health-check-validation-scanning-express-fastify-nestjs-route-definitions-to-ensure-proper-health-and-ready-endpoints-exist-with-correct-response-formats/route.ts with a POST handler |
| 2. Input Schema | Accept { userId?, ...featureParams } in the request body |
| 3. Server Logic | Process the request, call external APIs if needed, return JSON |
| 4. UI Component | Create src/components/HealthcheckvalidationscanningExpressFastifyNestJSroutedefinitionstoensureproperhealthandreadyendpointsexistwithcorrectresponseformatsSection.tsx |
| 5. Wire up | Call /api/health-check-validation-scanning-express-fastify-nestjs-route-definitions-to-ensure-proper-health-and-ready-endpoints-exist-with-correct-response-formats from the component using fetch on form submit |
Potential enhancements:
- ⚡ Cache repeated lookups with
unstable_cacheor Redis - 🔒 Add rate limiting to
/api/health-check-validation-scanning-express-fastify-nestjs-route-definitions-to-ensure-proper-health-and-ready-endpoints-exist-with-correct-response-formats(e.g. Upstash Ratelimit) - 📱 Make the UI section responsive-first (mobile breakpoints)
- 📊 Log feature usage to analytics (Plausible / PostHog)
- 🧪 Add an integration test for the API route
🔐 4. Cross-service coupling analyzer building dependency graphs from import statements to identify tight coupling between domains
What it does: Cross-service coupling analyzer building dependency graphs from import statements to identify tight coupling between domains
How to implement:
| Step | What to do |
|---|---|
| 1. API Route | Create src/app/api/cross-service-coupling-analyzer-building-dependency-graphs-from-import-statements-to-identify-tight-coupling-between-domains/route.ts with a POST handler |
| 2. Input Schema | Accept { userId?, ...featureParams } in the request body |
| 3. Server Logic | Process the request, call external APIs if needed, return JSON |
| 4. UI Component | Create src/components/CrossservicecouplinganalyzerbuildingdependencygraphsfromimportstatementstoidentifytightcouplingbetweendomainsSection.tsx |
| 5. Wire up | Call /api/cross-service-coupling-analyzer-building-dependency-graphs-from-import-statements-to-identify-tight-coupling-between-domains from the component using fetch on form submit |
Potential enhancements:
- ⚡ Cache repeated lookups with
unstable_cacheor Redis - 🔒 Add rate limiting to
/api/cross-service-coupling-analyzer-building-dependency-graphs-from-import-statements-to-identify-tight-coupling-between-domains(e.g. Upstash Ratelimit) - 📱 Make the UI section responsive-first (mobile breakpoints)
- 📊 Log feature usage to analytics (Plausible / PostHog)
- 🧪 Add an integration test for the API route
📊 5. GitHub/GitLab PR integration that automatically comments with specific file-level refactoring suggestions and severity scores
What it does: GitHub/GitLab PR integration that automatically comments with specific file-level refactoring suggestions and severity scores
How to implement:
| Step | What to do |
|---|---|
| 1. API Route | Create src/app/api/github-gitlab-pr-integration-that-automatically-comments-with-specific-file-level-refactoring-suggestions-and-severity-scores/route.ts with a POST handler |
| 2. Input Schema | Accept { userId?, ...featureParams } in the request body |
| 3. Server Logic | Process the request, call external APIs if needed, return JSON |
| 4. UI Component | Create src/components/GitHubGitLabPRintegrationthatautomaticallycommentswithspecificfilelevelrefactoringsuggestionsandseverityscoresSection.tsx |
| 5. Wire up | Call /api/github-gitlab-pr-integration-that-automatically-comments-with-specific-file-level-refactoring-suggestions-and-severity-scores from the component using fetch on form submit |
Potential enhancements:
- ⚡ Cache repeated lookups with
unstable_cacheor Redis - 🔒 Add rate limiting to
/api/github-gitlab-pr-integration-that-automatically-comments-with-specific-file-level-refactoring-suggestions-and-severity-scores(e.g. Upstash Ratelimit) - 📱 Make the UI section responsive-first (mobile breakpoints)
- 📊 Log feature usage to analytics (Plausible / PostHog)
- 🧪 Add an integration test for the API route
User Request
│
▼
Next.js Edge ──► API Route ──► Business Logic ──► Data Store
│ │
React UI ◄────────────────── Response / JSON
│
Real-time UI Update
| Attribute | Details |
|---|---|
| Audience | Backend engineers, tech leads, and DevOps teams managing Node.js microservice architectures at scale (10+ services) |
| Tech Level | 🟢 High |
| Pain Level | High |
| Motivations | Preventing 3am production pages • Reducing technical debt across service boundaries |
| Price Willingness | premium |
MVP Factory Validation Report — 2026-03-03
═══════════════════════════════════════════════════════
✅ PASS Market Demand ████████░░ 8/10
✅ PASS Competition Gap ████████░░ 8/10
✅ PASS Technical Feasibility █████████░ 9/10
✅ PASS Monetization Potential ███████░░░ 7/10
✅ PASS Audience Fit █████████░ 9/10
─────────────────────────────────────────────────────
OVERALL SCORE ████████░░ 8.2/10
VERDICT 🟢 BUILD — Strong market opportunity
TESTS PASSED 5/5
═══════════════════════════════════════════════════════
Why this works: Strong Reddit validation (420 upvotes) proves immediate demand. While general static analysis tools exist, none specifically target distributed systems anti-patterns like circuit breakers and service coupling. High technical feasibility with AST parsing. Clear B2B monetization path via team features and CI integration. Score of 8.15 exceeds 8.0 threshold with competition gap >= 7.
Unique angle: 💡 The only tool specifically architected for Node.js microservice anti-patterns—detecting missing circuit breakers, hardcoded service discovery, and cross-service coupling—rather than generic code smells or security vulnerabilities
Competitors analyzed: SonarQube (general code quality, not microservice-specific), ESLint (generic linting, no architectural awareness), Snyk (security-focused, not distributed systems architecture)
Next.js 14 App Router + TypeScript + TailwindCSS + Lucide-react
| Layer | Technology | Purpose |
|---|---|---|
| 🖥️ Frontend | Next.js 14 App Router | React framework |
| 🎨 Styling | TailwindCSS | Utility-first CSS |
| 🔗 Backend | Next.js API Routes | Serverless endpoints |
| 💾 Data | Server-side logic | Business processing |
| 🚀 Deploy | Vercel | Edge deployment |
# Clone & install
git clone https://github.com/guyromb/nodeguard.git
cd nodeguard
npm install
# Start development
npm run dev
# → http://localhost:3000
# Build for production
npm run build
npm start# Add your keys here
NEXT_PUBLIC_APP_NAME=NodeGuard| Signal | Data |
|---|---|
| 🔴 Problem Severity | High |
| 📈 Market Demand | 8/10 |
| 🏆 Competition Gap | 8/10 — Blue ocean 🌊 |
| 💰 Monetization | 7/10 |
| 🎯 Model | 💳 Paid Subscription |
| 📣 Source | reddit community signal |
Contributions are welcome! Here's how:
- Fork the repo
- Create your branch:
git checkout -b feature/amazing-feature - Commit:
git commit -m 'Add amazing feature' - Push:
git push origin feature/amazing-feature - Open a Pull Request
MIT License — see LICENSE for details.
Discovered from reddit · Built 2026-03-03 · Powered by MVP Factory v11
Autonomously researched, validated & generated — zero human code written