Engineers who surpass their teacher.

Step-by-step learning paths

A curriculum through Java, Spring Boot and AI integration that leaves you able to build scalable, modern systems.

Hands-on projects

Real exercises in designing, developing and deploying enterprise systems — not toy examples.

Mentorship and community

A network of mentors and peers who are invested in your progress.

Ethical and spiritual growth

Guidance on aligning the technical journey with strong ethics and a clearer sense of purpose.

Elite Full-Stack Engineering

The current edition, refreshed for 2026 — same spine, updated for where the tooling and the models have moved.

• 12 months, self-paced Duration
• Mid to senior engineers For
• Projects · reviews · rituals Format

Java, release by release

Twenty releases in one sitting: what each one changed, why it mattered, and a program you can run, from lambdas to post-quantum TLS in Java 27.

• One evening Duration
• Engineers who know Java For
• Read · run · keep as a reference Format

The Spring ecosystem and Spring AI

Spring Boot from 1.0 to 4.x in four generations, then a hands-on tour of Spring AI: ChatClient, tools, memory, RAG, MCP, evaluation and agent patterns.

• One evening Duration
• Spring engineers adding AI For
• Drop-in code for Boot 4 Format

MCP end to end

The Model Context Protocol from the wire to production: primitives, transports, the 2026 stateless revision, security, and a planner server that validates and saves AI-drafted plans, built and run in Java, Spring AI and Python.

• An evening, plus an hour with the code Duration
• Engineers shipping AI features For
• Read · run the servers · copy the pattern Format

MCP primitives lab

One server, one client, every primitive: tools, resources, prompts, sampling, roots, elicitation and progress, over stdio and Streamable HTTP. The raw bytes of both handshakes, and the flags a host must track.

• An hour, with the code running Duration
• Engineers learning MCP fast For
• Run the client · read the trace · pass the tests Format

Claude Code configuration, top down

One diagram of how Claude Code is configured, an interactive rollout workbench that takes a company from an empty laptop to a team shipping (ten steps, every file in its place, with working contents), then twelve levels that zoom in: CLAUDE.md, settings and who wins, context loading, hooks, skills, subagents, plugins. Java anchors, exam traps, self-checks and fifteen practice questions.

• Two evenings, then five minutes a day Duration
• Engineers configuring Claude Code, CCAR-F candidates For
• Redraw the map · read a level · self-check · practice Format

From CRUD to production

AssetCare, a complete reference application served as a seven-course meal: architecture, PostgreSQL migrations, a production API, the Angular app, tests and scans, observability, Helm and K3s on one small Hetzner server, CI/CD, and the live deployment at assetcare.janaka.me. Why, what, how and proof for each course, with the repository to clone.

• A weekend with the course Duration
• Engineers who ship, and want to ship properly For
• Read · try the demo · request the source Format

From code to production: building AssetCare

Fourteen modules that follow the live AssetCare deployment from its first architecture decision to a public URL on Kubernetes: architecture, Spring Boot, Angular, PostgreSQL and Liquibase, Keycloak, Docker, K3s, Helm, Terraform, HTTPS, CI/CD, observability, health checks and the AI-assisted engineering workflow. Each module says where its material is today.

• A module an evening, at your pace Duration
• Engineers taking a system to production For
• Read · run · verify · compare with the live site Format