🚀 Java Developers — AI is not replacing you. It’s upgrading you. We’ve mastered: ✔️ Spring Boot ✔️ Microservices ✔️ REST APIs Now it’s time to add a new layer: 👉 Generative AI + Agentic AI 💡 Imagine this: • API writes its own test cases • Logs explain the root cause automatically • AI agents fix production issues before escalation • Your backend starts making decisions, not just responses This is not future. This is NOW. --- ⚙️ Simple Shift: ➡️ From: Writing business logic ➡️ To: Designing intelligent systems --- 🧠 Start small: • Integrate LLM APIs in Spring Boot • Add RAG (Vector DB + embeddings) • Build task-based AI agents --- The best Java developers in 2026 won’t just build systems. They’ll build systems that think. --- 💬 Are you experimenting with AI in your backend yet? #Java #AI #GenerativeAI #AgenticAI #SpringBoot #Microservices #TechLead
Truth is not even AI expert can predict the future with complete accuracy.There is always demand and supply which always control any industry in the world and if with AI advancement new types of jobs supply in the market increases it will be good for us but now everyone have focus on only AI automation which have direct impact on jobs as we see people are becoming more productive with AI tools and now we need less people to do same work. But if world economy is booming and all industries have enough money to invest on AI and produce things faster than current then will definitely increase the demand of new workforce. With US sitting on a pile of huge trillions of debts and wars all over the world, NATO on the verge of breakout which will pump more money to defense sector rather than something productive for the humanity e.g. medicines etc does not give good indication currently that world economy will grow to an extent to produce more jobs with the AI advancement.
Satish Tiwari While I agree that self-upskilling is imperative for every aspect of our lives, I also agree that AI is rapidly affecting IT jobs and will only grow in importance over time. There will not be a replacement for the job, but for the person who does the job, since before AI there was a huge team that would deliver the project on time, but after using AI we are able to increase the productivity and the development work to some extent. As far as the business perspective is concerned, instead of having a large team, they are reducing the size of the team and introducing AI tools. Oracle's recent incident is an example of this. the private sector's job is all about uncertainty. AI is helping to increase uncertainty. It's okay to stay positive and focus on things that we can control. Nowadays it is good to have Plan B
Shift is real, but the engineering discipline still matters. LLMs don’t replace system design, they amplify it. The real value is combining Spring Boot microservices with RAG pipelines and guarded agents to solve production problems, not just generate responses.
Yes, I started with a simple AI-based project to understand the basics. Here’s my repo: https://lnkd.in/gPZhZ9nS Now I’m building a more scalable version: → LLM + backend integration → Exploring RAG (vector DB + embeddings) → Designing for real-world use (not just demo) Still learning every day, but the goal is to build systems that think.
Since last year, I’ve been taking that approach, but it really depends on the use case. Technology should be applied with a clear purpose, not simply because it’s trending. Right now, there’s a push to integrate AI everywhere—even in situations where it doesn’t add real value.
it will eat all tokens at the moment of scanning my legacy code 😂
AI isnt doing anything to me. Im not touching that with a barge pole 🙂
Logs that explain the root cause! That would be huge. I hadn’t thought of that approach, but it makes so much sense.
I partially agree with this idea, but it’s a bit exaggerated. AI is definitely becoming an important tool for developers, and integrating things like LLM APIs, RAG, or AI assistants into backend systems is starting to happen in real projects. However, the post makes it sound like AIwill suddenly transform developers into « builders of thinking systems », which is more hype than reality. Backend developers will still spend most of their time designing APIs, writing business logic, and building reliable systems. AI will simply become another component in the stack like a database or a message queue,not something that replaces core engineering work. So yes, developers should learn how to integrate AI, but strong fundamentals in architecture and software design will still matter much more.
My take is Still now LLM don't replace certain role in engeering field till now, as it is nothing but "Statistical mimic" , it predict next likelyhood word based on traning data it is excellent on pattern recognition and write common pattern of coding which is available as a trained data So, as a overall developers job at risk, but architect job doing system design or doing a solution in a particular context or based on the your compan's cost , engeering ability. That consciousness it does not have so those job will now secure and even one architect single handedly can generate a project where agents act as developer. But if AI progress to AGI level , when it can think consciously and take that decision then these kind of job also in risk but that is far away.