Java developers can leverage AI to reduce boilerplate, generate design patterns, and accelerate enterprise application development.
Tabnine provides privacy-focused AI assistance that learns from your coding patterns. Ideal for teams with strict data security requirements.
Understands Spring Boot, Jakarta EE, and enterprise Java patterns.
Generates getters, setters, builders, and common Java boilerplate instantly.
Suggests and implements Factory, Singleton, Observer, and other patterns.
Aware of project dependencies and suggests appropriate library usage.
Get started with Tabnine for Java development in minutes:
See how Tabnine accelerates Java development with AI-powered assistance:
// Create a REST controller for order management
@RestController
@RequestMapping("/api/orders")
@RequiredArgsConstructor
public class OrderController {
private final OrderService orderService;
@GetMapping
public ResponseEntity<List<OrderDTO>> getAllOrders(
@RequestParam(defaultValue = "0") int page,
@RequestParam(defaultValue = "10") int size) {
Page<OrderDTO> orders = orderService.findAll(PageRequest.of(page, size));
return ResponseEntity.ok(orders.getContent());
}
@PostMapping
public ResponseEntity<OrderDTO> createOrder(@Valid @RequestBody CreateOrderRequest request) {
OrderDTO created = orderService.create(request);
return ResponseEntity.status(HttpStatus.CREATED).body(created);
}
@GetMapping("/{id}")
public ResponseEntity<OrderDTO> getOrder(@PathVariable Long id) {
return orderService.findById(id)
.map(ResponseEntity::ok)
.orElse(ResponseEntity.notFound().build());
}
}// Create a repository for product search
@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {
List<Product> findByCategory(String category);
@Query("SELECT p FROM Product p WHERE p.price BETWEEN :min AND :max")
List<Product> findByPriceRange(@Param("min") BigDecimal min, @Param("max") BigDecimal max);
@Query("SELECT p FROM Product p WHERE LOWER(p.name) LIKE LOWER(CONCAT('%', :search, '%'))")
Page<Product> searchByName(@Param("search") String search, Pageable pageable);
@Modifying
@Query("UPDATE Product p SET p.stock = p.stock - :quantity WHERE p.id = :id AND p.stock >= :quantity")
int decrementStock(@Param("id") Long id, @Param("quantity") int quantity);
}Maximize your productivity with Tabnine using these Java-specific tips:
Tabnine excels at these common Java development tasks:
Generate controllers, services, repositories, and configuration classes.
Create Kafka consumers, REST clients, and messaging patterns.
Generate JUnit 5 tests, Mockito mocks, and integration test setups.
Write JPA entities, repositories, and complex JPQL queries.
Other AI coding tools that work well with Java: