💡 100 AI Prompts Every Java & Spring Developer in India Should Try to Boost Productivity -5

🔍 Observability & Debugging 81. How to trace requests across microservices using Spring Cloud Sleuth? 82. Prometheus config to scrape Spring Boot metrics? 83. Best tools to analyze thread dumps of Java apps. 84. How to push Spring Boot logs to ELK Stack? 85. Add OpenTelemetry tracing to a Spring microservice. 86. Create your own custom Spring Boot actuator endpoint. 87. What metrics should I monitor in a Java REST API service? 88. Debugging 500 errors in Spring Boot REST APIs. 89. Set up alerts for JVM memory issues. 90. Make a /health endpoint that checks DB, MQ, and third-party APIs. ⸻ 🔄 Automation & Scripting (Indian-style jugaad included!) 91. Bash script to check memory usage of a Java process. 92. Automate code formatting and linting using Maven or Gradle. 93. Schedule DB backups using cron or a shell script. 94. How to generate a changelog from Git history? 95. Shell script to rotate and clean up application logs. 96. Add Git hooks to enforce commit message formats. 97. Cron job to auto-restart Java process if memory crosses limit. 98. Generate release notes using Git tags and commits. 99. Bash script to compare two DB schemas quickly. 100. Fastest way to import big CSV files into PostgreSQL using CLI? ⸻ ✨ Final Thoughts Most of these prompts are everyday-use cases for developers working in Indian IT companies, startups, or freelancing. Whether you’re dealing with Spring Boot apps, DB migrations, or container deployments, AI can help you go faster and cleaner — just feed the right prompt!