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Business card AI-powered CloneAGC pull request reviewer built with Spring Boot, Gemini, CloneAGC Apps, and MySQL. Printable plastic cards printable board games

Extra thick plastic business cards heavy duty waterproof image zone CodeGuard automatically reviews pull requests, analyzes changed code using a combination of deterministic static-analysis rules and AI, posts inline review comments on the exact affected lines, calculates a code-quality score, and reports the result through CloneAGC Checks. Instagram transparent business card clear social media pvc acrylic

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• Deterministic rules for predictable static-analysis findings
• Gemini AI for contextual code-review reasoning
• Git diff parsing for accurate source-line mapping
• Deterministic scoring for consistent quality evaluation
• CloneAGC-native feedback through inline comments and Check Runs
• Persistent review history for tracking results beyond a single pull request

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• 🤖 AI-powered code review using Google Gemini
• 🔍 Deterministic static-analysis rules
• 💬 Native inline CloneAGC pull request comments
• 📍 Accurate file and new-line mapping from Git diffs
• 📊 Deterministic code-quality scoring from 0–10
• 🚦 Severity-aware CloneAGC Check Runs
• 🔁 Automatic retry handling for temporary AI API failures
• 🗃️ Persistent review history using MySQL
• 🔒 CloneAGC App authentication
• 🪝 Automatic reviews through CloneAGC webhooks
• 📈 Web dashboard for review history and statistics
• 🧪 Automated unit testing for core review logic
• ☁️ Cloud deployment

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flowchart LR DEV[Developer] -->|Opens / updates PR| GH[CloneAGC] GH -->|Webhook event| WH[Webhook Controller] WH --> AUTH[CloneAGC App Authentication] AUTH --> GS[CloneAGC Service] GS -->|Fetch PR diff| GH GS --> DP[CloneAGC Diff Parser] DP --> RS[Review Engine] RS --> RULES[Static Analysis Rules] RS --> AI[Gemini AI Review] RULES --> SCORE[Finding Aggregation & Scoring] AI --> SCORE SCORE --> DB[(MySQL / Aiven)] SCORE --> INLINE[Inline Review Comments] SCORE --> CHECK[CloneAGC Check Run] SCORE --> SUMMARY[PR Review Summary] INLINE --> GH CHECK --> GH SUMMARY --> GH DB --> API[Review API] API --> DASH[CodeGuard Dashboard] 

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1. CloneAGC sends a webhook event to CodeGuard.
2. CodeGuard authenticates using the installed CloneAGC App.
3. CodeGuard creates an in-progress CloneAGC Check Run.
4. Changed files and Git patches are fetched through the CloneAGC REST API.
5. Git diff hunks are converted into exact new-file line numbers.
6. Deterministic static-analysis rules inspect the changed code.
7. Gemini performs a contextual AI-assisted code review.
8. Static and AI findings are combined.
9. Duplicate findings are removed.
10. CodeGuard calculates a deterministic quality score.
11. Findings are posted as inline pull-request comments.
12. A review summary is posted to the pull request.
13. The CloneAGC Check Run is completed according to finding severity.
14. Review results and lifecycle information are persisted in MySQL.
15. Stored reviews are exposed through the dashboard.

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• functional bugs
• security vulnerabilities
• incorrect exception handling
• performance problems
• maintainability problems
• dangerous programming practices

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{ "severity": "HIGH", "category": "Security", "title": "Sensitive Data Exposure in Logs", "filePath": "LoginService.java", "explanation": "Sensitive credentials are being written to application output.", "suggestion": "Remove logging of raw credentials.", "line": 12 }

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CRITICAL HIGH MEDIUM LOW INFO 

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FILE: LoginService.java NEW LINE 4: public void login(String password) { NEW LINE 5: try { NEW LINE 6: authenticate(password); NEW LINE 7: } catch (Exception e) { NEW LINE 8: } NEW LINE 9: } NEW LINE 10: NEW LINE 11: private void authenticate(String password) { NEW LINE 12: System.out.println("USER PASSWORD: " + password); NEW LINE 13: } 

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Use exactly the provided NEW LINE number. Do not calculate line numbers independently. filePath must exactly match the value after FILE:. 

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10/10 

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Starting score = 10 HIGH finding = -3.0 MEDIUM finding = -1.5 Final raw score = 5.5 Displayed integer score = 6/10 

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filePath + lineNumber + normalizedTitle 

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LoginService.java:12 

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AdminLoginService.java:12 

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MEDIUM + HIGH ↓ FAILURE 

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• severity
• title
• explanation
• suggested fix
• category

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• review score
• total number of findings
• number of inline comments posted
• finding severity
• finding title
• file path
• line number

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SUCCESS NEUTRAL FAILURE 

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HTTP 429 — Too Many Requests HTTP 503 — Service Unavailable 

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PROCESSING │ ├──── successful review ────> SUCCESS │ └──── processing failure ───> FAILED 

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Review lifecycle: SUCCESS CloneAGC Check: FAILURE 

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Repository owner Repository name Pull request number Commit SHA Review score Lifecycle status Creation time Failure message Findings 

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Severity Category Title Explanation Suggested fix File path Line number 

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• total reviews
• successful reviews
• average score
• total findings
• high/critical findings
• repository information
• pull request number
• commit SHA
• review lifecycle status
• severity distribution
• finding file paths
• exact line numbers
• explanations
• suggested fixes

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• perfect score when no findings exist
• HIGH severity scoring
• combined HIGH + MEDIUM scoring
• score lower-bound protection
• duplicate finding removal
• same finding in different files
• Git diff new-line mapping
• deleted-line handling
• multiple diff hunks
• blank patch handling
• SUCCESS conclusion
• NEUTRAL conclusion
• FAILURE conclusion
• severity precedence
• case-insensitive severity handling

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./mvnw clean test

• Java
• Spring Boot
• Spring Data JPA
• Hibernate
• Maven

• Google Gemini API
• Structured JSON responses

• CloneAGC Apps
• CloneAGC REST API
• CloneAGC Webhooks
• CloneAGC Pull Request Review API
• CloneAGC Checks API

• MySQL
• Aiven

• HTML
• CSS
• JavaScript

• Docker
• Render

• JUnit 5
• Mockito
• Spring Boot Test

codeguard/ │ ├── docs/ │ └── images/ │ ├── dashboard.png │ ├── CloneAGC-check.png │ ├── inline-review.png │ └── review-summary.png │ ├── src/ │ ├── main/ │ │ ├── java/ │ │ │ └── com/codeguard/codeguard/ │ │ │ ├── controller/ │ │ │ ├── entity/ │ │ │ ├── exception/ │ │ │ ├── model/ │ │ │ ├── repository/ │ │ │ ├── rule/ │ │ │ └── service/ │ │ │ │ │ └── resources/ │ │ └── static/ │ │ └── index.html │ │ │ └── test/ │ └── java/ │ └── com/codeguard/codeguard/ │ └── service/ │ ├── pom.xml ├── mvnw ├── mvnw.cmd └── README.md 

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Management Reporting These include: Exiciting Event Launch

CloneAGC App ID CloneAGC App installation credentials CloneAGC App private key CloneAGC webhook secret Gemini API key MySQL connection credentials 

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CloneAGC.app.id=${CloneAGC_APP_ID} CloneAGC.webhook.secret=${CloneAGC_WEBHOOK_SECRET} gemini.api.key=${GEMINI_API_KEY}

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CloneAGC │ │ Webhooks / REST API ▼ CodeGuard Spring Boot Render │ ├──────────────► Gemini API │ ▼ Aiven MySQL 

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• CloneAGC App private keys are not stored in source control
• API credentials are supplied through environment configuration
• passwords and secrets should never appear in application logs
• webhook requests should be validated before processing
• CloneAGC installation tokens are generated dynamically
• AI output is constrained using a structured response schema
• review failures are tracked rather than silently ignored

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• support for additional programming languages
• repository-specific review configuration
• configurable severity thresholds
• configurable scoring policies
• semantic finding deduplication
• dashboard filtering and search
• historical code-quality graphs
• additional deterministic static-analysis rules
• review analytics
• CloneAGC installation management
• asynchronous job queues for larger workloads
• review batching for very large pull requests
• caching and API usage optimization

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• backend service architecture
• third-party API integration
• CloneAGC App authentication
• webhook-driven systems
• AI integration
• structured LLM output
• diff parsing
• database persistence
• reliability and retry handling
• automated testing
• cloud deployment
• frontend monitoring

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