Employee Api

B 81 completed
Other
containerized / java · small
67
Files
3,732
LOC
1
Frameworks
7
Languages

Pipeline State

completed
Run ID
#1546267
Phase
done
Progress
0%
Started
2026-04-16 23:55:22
Finished
2026-04-16 23:55:22
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
32.91
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #47906
Member of a group with 116 similar repo(s) — canonical #1599167 view group →
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/

AI Prompt

Create a reactive RESTful Employee API using Spring Boot. The API should follow hexagonal architecture principles and be built with Java 25. I need it to connect to PostgreSQL using Spring Data R2DBC and manage migrations with Flyway. Please ensure the setup includes observability using Micrometer Tracing, OpenTelemetry, Prometheus, and Grafana, and provide instructions for running the application via `./mvnw spring-boot:run`. Also, include documentation endpoints for Swagger UI and the OpenAPI spec.
java spring-boot restful-api postgresql reactive hexagonal-architecture observability prometheus grafana
Generated by gemma4:latest

Catalog Information

Create a reactive RESTful Employee API using Spring Boot. The API should follow hexagonal architecture principles and be built with Java 25. I need it to connect to PostgreSQL using Spring Data R2DBC and manage migrations with Flyway. Please ensure the setup includes observability using Micrometer Tracing, OpenTelemetry, Prometheus, and Grafana, and provide instructions for running the application via ./mvnw spring-boot:run. Also, include documentation endpoints for Swagger UI and the OpenAPI

Tags

java spring-boot restful-api postgresql reactive hexagonal-architecture observability prometheus grafana

Quality Score

B
81.4/100
Structure
75
Code Quality
99
Documentation
48
Testing
85
Practices
78
Security
100
Dependencies
80

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (100% test-to-source ratio)
  • Consistent naming conventions (PascalCase)
  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file — legal ambiguity for contributors

Recommendations

  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

java
76.0%
markdown
8.5%
xml
8.2%
yaml
6.1%
json
0.7%
sql
0.3%
shell
0.1%

Frameworks

Spring Boot

Symbols

method37
variable18
class15
constant6
function3
interface1
enum1

Quality Timeline

1 quality score recorded.

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