Coding tutorials, software development, and CS concepts
This tutorial establishes backend authentication infrastructure for FastAPI by implementing Argon2 password hashing, JWT token management, and Pydantic Settings configuration, while updating database models and schemas to support secure user registration and login workflows.
This video outlines six strategies for maximizing Claude Code efficiency, emphasizing human oversight through plan mode and explicit instructions rather than autonomous 'Rolf loops,' while leveraging custom agents, skills, and self-verification tools to improve output quality.
This tutorial demonstrates how to connect JavaScript frontend forms to a FastAPI backend using the fetch API, implementing full CRUD functionality through Bootstrap modals while temporarily hardcoding user authentication and centralizing business logic like data sorting in SQLAlchemy queries.
Bun is an all-in-one JavaScript runtime built with Zig and JavaScriptCore that consolidates package management, bundling, testing, and transpiling into a single high-performance binary while maintaining full compatibility with the Node.js ecosystem.
This tutorial demonstrates how to refactor a monolithic FastAPI application by using APIRouter to organize routes into separate modules, keeping main.py clean while maintaining identical external URLs and functionality.
This tutorial demonstrates converting a FastAPI application from synchronous to asynchronous operations using SQLAlchemy's async extensions, emphasizing that async improves IO-bound task handling but requires mandatory eager loading for database relationships and careful awaiting of specific operations.
Senior developers are increasingly shipping AI-generated code, with reports showing it introduces 1.7 times more security vulnerabilities and quality issues than human-written code, creating an urgent need for stricter review processes and human oversight.
This crash course introduces FastAPI as a high-performance Python framework for building modern APIs, emphasizing fundamental concepts like ASGI architecture, Pydantic validation, and automatic documentation while demonstrating how to build a functional issue tracker API from scratch.
This tutorial explains how to extend Gemini CLI beyond local codebase interaction using MCP (Model Context Protocol) servers to connect with external APIs like Firebase, and demonstrates how to install Gemini CLI extensions that bundle MCP servers with custom commands and context files.
This tutorial demonstrates how to extend Gemini CLI by creating custom slash commands stored as TOML files in `.gemini/commands/`, enabling complex automated workflows like UI component generation with integrated testing, git branching, and preview rendering through structured multi-step prompts.
Despite fears of AI replacing entry-level developers, junior job listings have rebounded 47% since late 2023, but the bar has risen—employers now demand deep fundamentals and practical skills in high-demand languages like Python, JavaScript/TypeScript, and SQL rather than just tutorial-level knowledge.
Software development education has shifted from memorizing syntax for simple stacks like jQuery and PHP to mastering fundamental concepts while leveraging AI tools like Cursor and ChatGPT as learning assistants, requiring learners to combine structured curriculum with independent real-world projects.