💡 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!

💡 100 AI Prompts Every Java & Spring Developer in India Should Try to Boost Productivity -4

⚙️ Tools & Productivity Boosters 41. Share IntelliJ IDEA shortcuts every Java developer should know. 42. How to debug memory leaks in Java apps? 43. Create a reusable Maven project template for microservices. 44. Suggested folder structure for a large Spring Boot project? 45. How can Lombok help reduce boilerplate code? 46. Enable live-reload for a Spring Boot app using DevTools. 47. How to create a .editorconfig file for Java code consistency? 48. Share an efficient Git branching strategy for teams. 49. Write a Makefile to automate build and test tasks in Java. 50. How to monitor app health using Spring Boot Actuator? ⸻ 🧪 Testing Tips 51. How to write parameterized unit tests using JUnit 5? 52. How to mock repository or service layers in Spring Boot tests? 53. Generate a test coverage report using JaCoCo. 54. How to write clean integration tests in Spring Boot? 55. Use Testcontainers to test against a real database in CI. 56. Best practices for setting up test data before tests. 57. How to speed up test execution in large projects? 58. Write readable assertions using AssertJ. 59. How to test REST APIs in Spring Boot with real data? 60. Ideal test folder/package structure for big Java projects?

💡 100 AI Prompts Every Java & Spring Developer in India Should Try to Boost Productivity -3

🗃️ SQL & Database Tricks 21. Improve this slow SQL query: [paste query]. 22. What’s the right indexing strategy for large data tables? 23. Sample Java class using JPA to fetch data from PostgreSQL. 24. Explain INNER JOIN vs LEFT JOIN with examples. 25. How to give performance hints to PostgreSQL queries? 26. Show how to use projections in Spring Data JPA. 27. How to do batch inserts with JPA efficiently? 28. What tool should I use for DB schema versioning in Spring Boot? 29. Can I reuse native SQL queries in Spring Data? How? 30. Steps to debug and fix slow DB queries in a Spring Boot app. ⸻ 🚀 DevOps & CI/CD for Java Projects 31. Create a GitHub Actions workflow for building and testing Spring Boot code. 32. Best practices for Dockerizing a Java app. 33. How to monitor Java app metrics in Kubernetes using Prometheus? 34. Write a Jenkins pipeline for a Maven-based Java project. 35. What’s the secure way to handle secrets in pipelines? 36. How to roll back a Spring Boot deployment in Kubernetes? 37. Write a basic Helm chart to deploy a Spring Boot service. 38. Explain blue-green deployments for Java microservices. 39. Use Ansible to set up a Java environment on Ubuntu. 40. How to speed up builds by caching Maven dependencies in CI? ⸻

💡 100 AI Prompts Every Java & Spring Developer in India Should Try to Boost Productivity -2

⸻ 🌱 Spring Framework & Boot Tips 11. How to create your own Spring Boot starter? 12. What’s the right way to use multiple profiles in Spring Boot? 13. Best config practices for managing big Spring Boot apps? 14. How to use Spring Cloud Config for managing external configs? 15. Show me how to secure APIs with JWT using Spring Security. 16. How to implement async processing in Spring the proper way? 17. Give me a template for REST controller with exception handling. 18. How to handle retries in Spring Boot for flaky API calls? 19. Set up logging in Spring Boot for production-level apps. 20. Tricks to make Spring Boot start faster in dev and prod. ⸻

💡 100 AI Prompts Every Java & Spring Developer in India Should Try to Boost Productivity -1

Whether you’re a backend engineer handling complex systems in Java or managing microservices with Spring Boot, AI can save you hours of work. From writing cleaner code to automating deployments, these 100 prompts are especially helpful for developers working on real-world enterprise applications — and yes, they work well with the kind of tech stack we use daily in India. Let’s dive in 👇 ⸻ ☕ Java Programming Tricks 1. What’s the difference between HashMap and ConcurrentHashMap? Give code examples. 2. How can I make a Java app more memory-efficient? 3. Suggest some Java profiling tools and how to use them in real projects. 4. Optimize this recursive Java method for better performance: [paste function]. 5. Explain how JVM manages memory. Tips for tuning garbage collection? 6. Create a utility class in Java for handling null values safely. 7. Best ways to write clean code using lambdas and functional interfaces? 8. Show me how to parse and validate JSON using Jackson in Java. 9. How do I write immutable classes in Java properly? 10. Share a reusable structure for exception handling in Java projects.