
For the last 6 years, I've been a Software Engineer building everything from scalable backends to interactive frontends. I loved the certainty of code - inputs, outputs, logic.
Then, late 2022 happened. ChatGPT and the wave of LLMs didn't just change the industry, they changed how I thought about software. Suddenly, we weren't just writing logic; we were orchestrating intelligence.
I realized that AI Integration Engineering is the next evolution of our craft. It's not about training models (I'll leave that to the researchers); it's about building the bridge between these powerful models and real-world applications.
Transitioning to AI isn't easy. The ecosystem moves fast, documentation is scarce, and best practices are still being written. I created 10x .dev to document my learnings, failures, and breakthroughs publicly.
No fluff. Just practical, code-heavy tutorials on RAG pipelines, agentic workflows, and LLM orchestration. If I learn how to build it, I write a guide on how you can build it too.
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