Blog
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AI is changing backend development, but it is not removing the need for backend engineers. The role is shifting toward judgment, system design, production ownership, and business problem solving.
Learning in the AI era is not about collecting more information. It is about reducing uncertainty, building judgment, using AI wisely, and becoming more capable through action, reflection, and explanation.
A production-grade backend is more than APIs and database queries. This post covers the essential components backend systems need for scalability, reliability, security, observability, and fault tolerance.
Security for production workloads starts long before deployment. This post walks through secure practices from code and Git workflows to CI/CD, QA, deployment, monitoring, and long-term maintenance.
Notes on phased rollout, state machines, fallback paths, and operational safety during large backend data migrations.
A backend engineer's guide to understanding this portfolio app: project structure, routing, rendering, content loading, components, and deployment flow.
A practical reflection on boundaries, deployment cadence, and maintainability when modernizing a SaaS backend.
A step-by-step guide to planning and building a personal portfolio website that works as an extension of your resume.
A step-by-step guide to creating a GitHub repository and connecting it to a local portfolio project.
A step-by-step guide to deploying a portfolio website from GitHub to Vercel and keeping it updated automatically.
A step-by-step guide to creating an SSH key, adding it to GitHub, and pushing code without repeated password prompts.