Mentee Power 2.0 — Java Developer in the AI Era
Java Backend AI Tools Team Development

Java Developer
in the AI Era

One real project — from a console application to microservices with Kafka. Team development, CI/CD, Kubernetes, AI pair programming.

Roadmap by Daniil Emelyanov. 9 modules, 4-6 months, Senior/Middle level.

FREE 🗺️ Java Roadmap v2.0 — start today
$1,700-3,500
/mo salary
92%
Employment Rate
4-6 mo
Path to Offer
RegistrationService.java
// Module 5 → Module 6: Spring Boot → Microservices
@Service
public class RegistrationService {
@Autowired
private EventClient eventClient;
public Registration register(Long userId) {
var event = eventClient.getById(id);
return repo.save(new Registration(userId));
}
}
// AI pair programmer
You need an idempotent consumer here. Check for duplicates by correlationId before saving.

CRM Registration System
from Console to Microservices

You don't start a new training project every time. One real product evolves through all 9 modules — just like in real-world development.

Module 1-2
Console Application
Java Core · Gradle · Git · JUnit
First version of the registration system. Console, files, basic data structures.
Module 3
Containerization
Docker · Docker Compose
The project runs reproducibly in a container. Foundation for the next layers.
Module 4
Database
PostgreSQL · JDBC · Liquibase · Transactions
Real data persistence. Concurrent registrations, transactional safety.
Module 5
REST API with Spring Boot
Spring Boot · JPA · OpenAPI · MockMvc
The monolith becomes a backend service with a documented API.
Module 6
Microservice Architecture
DDD · API Gateway · Feign · Resilience4j · Vault
Decomposition along domain boundaries. Parallel calls, Circuit Breaker, Outbox.
Module 7
Kubernetes + Observability
Helm · Prometheus · Grafana · Jaeger · SLI/SLO
Deployment to K8s. Tracing, metrics, diagnosing fan-out scenarios.
Module 8
Kafka and Events
Kafka · Saga · Outbox (Debezium) · DLQ
Async processing. Idempotent consumer, Saga orchestration, DLQ.

Real Team Collaboration
from Day One

In the final modules you plan tasks, do code reviews, work with Git workflow and an AI pair programmer — just like on a real team.

Git Workflow & PRs
Feature branches, pull requests, code review — standard team workflow from the very first module.
🤝
AI Pair Programming
A CLI agent as your second developer: generates tests, refactors code, helps with boilerplate. You're the lead.
📋
Task Planning
Story Points estimation, Sprint Planning, backlog management — skills expected on real projects.
🔍
Code Review
Discussing architectural decisions, checking code quality, understanding the "why" — not just the "how".
🚀
CI/CD Pipeline
GitHub Actions, JaCoCo, Checkstyle — builds don't break, coverage grows, style is enforced automatically.
📡
Team Observability
Metrics, traces, SLI/SLO — you see how the system performs and can explain it to the team.
Final Module 9

Career Track:
Real Development

In the finale you don't just prepare for interviews. You package a real project — the same one you built hands-on from console to Kafka — into your portfolio and resume. You present technical decisions with business context.

Task planning and Sprint Board
Writing engineering case studies for your resume
System Design interview preparation
AI-assisted workflow as a competitive advantage
Presenting your project with business context

9 Modules · 15-20 hours/week

1
Java: Fundamentals & Tools
Java Core · Gradle · Git · JUnit · Checkstyle
2
Java Core: Advanced
OOP · Collections · Stream API · GitHub Actions · JaCoCo
3
Containerization
Docker · Dockerfile · Docker Compose · Volumes
4
Database
PostgreSQL · SQL · JDBC · Liquibase · Testcontainers
5
Spring Ecosystem
Spring Boot · JPA · REST · Security · OpenAPI · MockMvc
6
Microservices
DDD · API Gateway · Feign · Resilience4j · Outbox · Vault
7
Kubernetes + Observability
Helm · Prometheus · Grafana · Jaeger · SLI/SLO
8
Events & Kafka
Kafka · Saga · Debezium CDC · DLQ · Consumer Parallelism
9
Career Track
CV · Case Studies · Interviews · AI Workflow · Systems Thinking

Daniil Emelyanov

Senior Java Developer with 8+ years of experience in enterprise development. Worked at major IT companies, contributed to projects serving millions of users.

Specialization: Spring ecosystem, microservices, DevOps, AI-assisted engineering. Author of Roadmap v2.0 — the first roadmap where AI tooling is integrated from module one.

Spring Ecosystem Microservices Kafka Kubernetes AI Tooling
Message on Telegram →
8+
years in Java enterprise
92%
students employed
Senior
target level
v2.0
roadmap with AI tooling

Choose Your Learning Format

For working developers
Salary Raise
$749
+ 69% of your offer (deferred payment) · salary increase from $1,500/mo
  • Enterprise Spring, microservices, DevOps
  • Career coaching
  • Senior interview preparation
  • Salary negotiation guidance
  • Income increase guarantee
No deferred payment
Fixed Price
$1,799
One-time payment
Installment up to 24 months available
  • Full course curriculum
  • Lifetime access to materials
  • 1-on-1 mentorship
  • No future payments required
  • Interview preparation