150+ AI Terms Every Software Engineer Should Know
Oct 2026A practical AI vocabulary cheat sheet covering LLMs, tokens, prompting, embeddings, RAG, APIs, agents, MCP, LangGraph, evaluation, infrastructure, and AI security.
Mostly build logs from shipping products as a frontend & ai engineer — what I set up, what broke, and what I would do differently.
Subscribe via RSSA practical AI vocabulary cheat sheet covering LLMs, tokens, prompting, embeddings, RAG, APIs, agents, MCP, LangGraph, evaluation, infrastructure, and AI security.
A practical, project-based roadmap for developers who want to understand what happens after git push — from Linux and Nginx to Docker, CI/CD, AWS, Terraform, and Kubernetes.
How I hosted a Next.js application on an AWS EC2 Ubuntu server using Bun, PM2, Nginx, DNS, and SSL — including the parts that broke.
A cheat sheet of the corporate language used in MNCs—from KT and BAU to CAB and RCA—that nobody teaches you in tutorials.
Over the years, I've learned to focus on what actually matters in software engineering and let go of the noise.