Deployed my first ever Spring Boot project today. It was my 26th attempt . After failing to deploy 25 times continuously last month , I decided to take a step back. Didn't touch the project for a month and one random day I decided to deploy (today) Never give up! :)

2nd year is over Let's finally restart. Going to make some couple of good backend projects and strengthen my problem solving skills 🙏

Applied for Backend dev internships as Spring Boot developer on LinkedIn today Has anyone ever got an internship or job from there by just clicking on apply button and filling that google form?

Deployed my first ever Spring Boot project today. It was my 26th attempt . After failing to deploy 25 times continuously last month , I decided to take a step back. Didn't touch the project for a month and one random day I decided to deploy (today) Never give up! :)

There’s a lot of fear-mongering right now about software engineers being replaced by AI founders and AI companies. A massive amount of money is being invested in this space, and naturally, companies need a strong narrative to justify high valuations and keep the stock market excited. Today a company laid off 40% of its workforce citing “AI efficiency,” and its stock jumped 24% in a single day. Later, after public backlash, the founder clarified that he had significantly overhired during the COVID boom and were simply correcting their workforce size. Many of the mass layoffs we’re seeing today are not purely because of AI replacing engineers. Most of them is due to overhiring during COVID era. Current AI systems are not capable of fully replacing software engineers. Yes, they can generate impressive code. But engineers are not hired just to write code. Will AI eventually eliminate all software engineering jobs? I don’t know and I’m not qualified to make such a definitive prediction. What seems more realistic is that AI may reduce the total number of engineers needed, because individual developers are becoming more productive with tools like Cursor, Claude Code, Codex, etc. Productivity gains don’t necessarily mean zero engineers; they may mean leaner teams. No serious company today is going to give an AI full autonomy to make critical decisions and deploy directly to production without human oversight. The risk of technical, legal, financial, and reputational are too high. It’s better not to get swept up in the fear amplified by X echo chamber. AI is a powerful tool, and it will reshape software engineering but reshaping is not the same as wiping it out.

Done with midsems ! Long time no see :)

I have received multiple messages asking for a roadmap of how to prepare for becoming a complete Springboot developer. I have complied a 3-Phase Roadmap for the same, this will streamline the process from basics to advanced level, making it less daunting for a complete beginner. Experienced will also be benefitted. PHASE 1 - Basics → Creating a spring boot project using spring initializer → Maven and gradle build tools → Annotations → Profiles and environment-specific configurations → @getmapping, @postmapping, @putmapping, @deletemapping → Handling path variables and request parameters → Setting up database connection (\text{H}2, mysql, postgresql) → Using jparepository and crudrepository → Introduction to spring boot devtools → Enabling hot reloading → Spring batch, scheduling and cron expressions PHASE 2 - Intermediate → Using @controlleradvice and @exceptionhandler → Custom error responses and exception classes → Global exception handling → Basic authentication → Configuring security for apis → Implementing jwt (json web tokens) for stateless authentication → Introduction to hateoas → Versioning rest apis (uri, parameter, headers) → Unit testing with junit and mockito → Writing integration tests with spring boot test → Testing restful services with mockmvc → Exploring actuator endpoints → Creating custom health indicators PHASE 3 - Advanced → Using @profile annotation → Configuring environment-specific beans →Switching profiles for different environments → Setting up a spring cloud project → Key components of spring cloud → Setting up eureka server → Registering microservices with eureka → Service discovery in action → Introduction to api gateway → Setting up spring cloud gateway →Configuring routes and filters → Setting up spring cloud config server → Managing configuration in a centralized repository → Configuring spring boot applications to use config server To fully grab each concept, just build projects on your own, that'll make it easier and will stay in head longer

Searching for a SpringBoot Backend dev intern role and I have decent problem solving skills. I have made some projects as of now but never did an internship. How did you guys landed your first internship and how can I? Tips and suggestions are welcomed :)

I was solving Post-order traversal problem on LC and found out that the question was marked hard in 2018 but easy in 2026 as of now. Constraints? AI? More access to information? Maybe All of them?

Chlo finally the Consistency is here :D

Next Targets: - Starting Codeforces to strengthen my OA skills ⚔️ - More LeetCode 🤝 - Getting better with SpringBoot ✨

January was such a good month for me : - Solved 50 LeetCode problems - Learned SprintBoot and SpringJPA - Created a fully functional Springboot jpa js project with postgresql Looking forward to continue this momentum 😁🤝

Working on this hackathon project and it's my first ever Springboot project lol Hope it works out 🤞

I'm participaating in this college online hackathon and the team which was selected for SIH Finals is also here 🥵 Guess I have to Lock in now 🔥

How many coins do you have on Leetcode? Me: 697