[NarP Series] MVC Framework in My Hands [NarP 2nd Edition]

Hello^^ This is Inflearn knowledge sharer Park Mae-il.
In conjunction with the publication of the book "Introduction to AI Agent Development Using Spring AI", an online lecture has been prepared.
I hope you gain great insights into how to use Spring AI through this special online lecture.
Please apply for the lecture via the link below, take good care of your health in the heat, and I will see you on July 16th.

[Go to Lecture Application]
https://event.kyobobook.co.kr/detail/247477

Hello, Inflearn students! I am Park Mae-il, a knowledge sharer and the author of
《Do it! Introduction to AI Agent Development Using Spring AI》.

Recently, there has been a surge of interest among backend developers in 'AI Agents' and 'Spring AI'. After a long period of preparation, thinking it would be great to have an 'easy and practice-oriented Spring AI book' that you can keep by your side like an encyclopedia while watching video lectures, the book was finally delivered to the publisher and officially published on June 15th!

This book is not just a list of theories. It is designed to create the best learning synergy when studied alongside the excellent Spring courses on Inflearn. By understanding the overall flow through the videos and practicing step-by-step with the book, you will be able to master Spring AI and make it your own in the most perfect way.

✨ Key Keywords & Differentiators of This Book

• Comprehensive Coverage of Key Trends: Covers the A to Z of Spring AI, from LLM integration to RAG, Function Calling, the latest MCP (Model Context Protocol), Multimodal, and Vector DBs.

• Super-powerful Special Appendix: We provide the latest trending 'Multi-Agent Implementation PDF' as a special appendix.

• Author care that takes responsibility until the end: Stuck on a practice exercise? Don't struggle alone. We provide solid support through the 'Author-managed Open Chat Room' to ensure you can complete the course to the very end.

This will be the best guidebook to keep by your side for future Spring AI-based personal toy projects, studies, or educational courses. I am rooting for your leap forward as an AI developer!

🛒 Links to Major Bookstores

• Yes24: https://vo.la/VAS5Uea

• Kyobo Book Centre: https://vo.la/py6gj8a

• Aladin: https://vo.la/mtPpBRw

Thank you.

• Best regards, Author Park Mae-il -

Hello. I am knowledge sharer Park Mae-il. It has been a while since I last greeted you.

Thanks to the great interest and support I've received since starting my Inflearn lectures, I have now published a book on Spring AI.

You will achieve even better learning results if you use the Spring AI lectures and textbook together.

<Do it! Introduction to AI Agent Development Using Spring AI> (Easys Publishing)

Yes24: https://vo.la/VAS5Uea

Kyobo: https://vo.la/py6gj8a

Aladin: https://vo.la/mtPpBRw

If you have any additional requests or suggestions for improvement regarding the book in the future, please leave your feedback through the open chat room guided in the book.
I will actively reflect them.

Also, if you need lectures related to Spring AI, please make good use of them.

Thank you. - Knowledge Sharer Park Mae-il -

Hello, I am Inflearn knowledge sharer Park Mae-il.

We are conducting an additional recruitment for a small number of participants before the opening of the "AI Agent Bootcamp: Completion in 5 Weeks."

This is a coaching-style bootcamp where you will master the latest AI agent technology stacks, including Spring AI, MCP, Multi-Agent, and RAG, through hands-on projects in just 5 weeks.

I recommend this to those who want to quickly build Spring AI capabilities, experience AI trends firsthand, and create their own portfolio.

📌 Additional recruitment: A few spots available (First-come, first-served)

📅 Application Period: ~ 2026.02.23(Mon)

📅 Training Period: 2026.02.23 ~ 03.30

🕐 Mon/Tue/Thu LIVE | Wed/Fri LAB & 1:1 Coaching

—3 months of free access to Inflearn Park Mae-il VOD provided upon completion

—Free copy of Spring AI textbook (to be published in April)

👉 Course Information and Application: https://itscoding.kr

Hello, I am Inflearn knowledge sharer Park Mae-il.

We are conducting additional recruitment for the "AI Agent Bootcamp: Complete in 5 Weeks."

This is a coaching-style bootcamp where you can master the latest AI agent technology stacks—including Spring AI, MCP, Multi-Agent, and RAG—through hands-on projects in just 5 weeks.

I recommend this to those who want to quickly build Spring AI skills, experience AI trends firsthand, and create their own portfolio.

📌 Additional recruitment capacity: 5 people (First-come, first-served)

📅 Application Period: ~ 2026.02.20

📅 Training Period: 2026.02.23 ~ 03.30

🕐 Mon/Tue/Thu LIVE | Wed/Fri LAB & 1:1 Coaching

👉 Course Information and Application: https://itscoding.kr

"Hello. I am Park Mae-il, an Inflearn knowledge sharer."

We are holding a live bootcamp related to Spring AI.

Quickly build your Spring AI skills and credentials, and stay ahead of AI trends.

If you would like to experience this and work on related projects, please refer to the webpage and

please consider participating.

https://itscoding.kr/

Hello. I'm instructor Park Mae-il.^^
📢 Announcement for the opening of Spring AI x Kakao PlayMCP practical course.

The only domestic practical guide to Kakao PlayMCP for Spring AI developers has begun.

✅ Perfect for those who:

• Those who want to develop AI agents with Spring Boot knowledge

• Those curious about MCP (Model Context Protocol), the latest AI standard

• People who want to register their service on Kakao PlayMCP

🛠 What will we build?

• AI counseling service 'Jamsi' based on Psalms and Proverbs

• Server with real-time data integration using @McpTool

• External deployment using ngrok and Kakao platform registration

Try developing MCP and registering on Kakao PlayMCP too!!
There's also a Kakao PlayMCP contest ongoing.
Last lecture link of the year (30% discount): https://inf.run/ELmY4
"Wishing you a year full of good things in 2026."

Title: 🤖 Still reviewing & grading assignments manually? I leave it to Spring AI! (🎁Year-end half price)

Hello developers! Aren't you tired of repetitive code reviews and assignment grading?

So I've prepared this for you! An automated system where you push code to GitHub (PR) → AI analyzes it → grades and provides feedback - I've launched (2025-12-24) the [Spring AI in Action] Build Your Own 24/7 Code Reviewer & Auto-Grading Agent course that builds this from scratch.

✅Here's what you'll build!

• Webhook: My server detects GitHub events in real-time

• Spring AI: Give AI a "strict senior developer" persona

• Async Workflow: Review and grading simultaneously! (parallel processing optimization)

• Vaadin: Even a pretty dashboard for checking scores (no frontend knowledge needed)

🎄Year-End Gift: 50% Off!🎁 Enroll now and own it for life at half price.
Grow into a 'backend developer who can handle AI' next year!

👉Check out the course:https://inf.run/q8ofE
👉Implementation video demo: https://youtu.be/E9b24Y3GNDg

🎬 [Scenario] 24-Hour Coding Classroom with AI Teaching Assistant

1. 📢 Assignment Posting (Professor)

The professor writes skeleton code for a Java assignment (Calculator.java) that students need to complete and uploads it to the GitHub repository (main branch).

"Alright, this week's assignment is to complete a calculator that finds the sum of two numbers. Variable names must be clear, and there should be no unnecessary code to get a perfect score!"

2. 👨‍💻 Working on the Assignment (Student)

The student brings the professor's repository to their own space (Sync Fork), creates a new branch (homework-1), and solves the problem.

"Hmm, a + bI just need to return that, right? All done! Time to submit it to the professor for review." The student creates a Pull Request (PR) to submit the assignment.

3. 🤖 AI Agent Activation (System)

The moment the student clicks the "Create PR" button, the dormant Spring Boot server detects GitHub's signal (Webhook) and wakes up.

• Step 1 (Analysis): The server extracts only the code changes (Diff) made by the student and passes them to the AI agent.

• Step 2 (Grading):"Hmm, the functionality is correct, but the temp variable is unnecessary. The score is 90 points!" The AI grades rigorously according to its pre-trained persona.

• Step 3 (Save): The grading result (90 points) and feedback content are securely saved in the database (DB).

• Step 4 (Feedback): At the same time, the AI leaves a comment on the student's PR. "The functionality is perfect! However, unnecessary variable declarations can waste memory."

4. 📊 View Results (Student)

The student receives a notification in just 5 seconds after submitting the PR.

"The grading is already done?"

The student accesses a dedicated dashboard (web page) and enters their GitHub ID. The screen displays the score (90 points) of the assignment they just submitted and the AI's feedback, neatly organized in tables and badges.