Coding tutorials, software development, and CS concepts
This course outlines the architectural mindset shift required to advance from mid-level to senior engineering, covering foundational system components from single-server setups to database selection (SQL vs. NoSQL) and scaling strategies (vertical vs. horizontal with load balancing).
This crash course teaches React Native fundamentals by building a complete macro-tracking nutrition app using Expo SDK 55, covering the modern JSI architecture, single-codebase advantages, and cloud-based deployment through Expo Application Services.
Andrew Brown from Exam Pro delivers a certification course on OpenAI Codex, an agentic CLI coding tool that automates software development through an internal agentic loop of model inference and tool calls, preparing learners for the EXP-CODEX01 exam with practical, hands-on training rather than theoretical overview.
This advanced Claude Code tutorial demonstrates how to maximize productivity through strategic model selection, essential slash commands for context management, MCP server integration for external tools like GitHub and automated testing, and creating reusable skills as markdown workflows.
![How to learn programming and CS in the AI hype era – interview with prof Mark Mahoney [Podcast #215]](https://i.ytimg.com/vi/Tb6oaEkxtp8/hqdefault.jpg)
Dr. Mark Mahoney argues that while LLMs excel at low-stakes prototyping and visualizations, learning programming fundamentals through manual debugging remains essential to avoid technical debt and build resilient engineering skills that persist regardless of tool availability or cost.
This comprehensive 24-hour course teaches advanced CUDA programming for NVIDIA H100 Hopper GPUs, covering asynchronous execution models, Tensor Memory Accelerator operations, WGMMA pipelines, and multi-GPU scaling strategies necessary for training trillion-parameter AI models.
This freeCodeCamp tutorial teaches drone programming using Python and the Pyimverse simulator, enabling developers to master autonomous flight and computer vision through five practical missions without risking expensive hardware.
Paperclip is an open-source framework that enables the creation of autonomous AI companies where multiple specialized agents (CEO, engineers, researchers) coordinate hierarchically to accomplish complex business goals without human intervention.
This tutorial transitions a FastAPI application from SQLite to PostgreSQL for production readiness, implementing Alembic for database migrations to enable safe, version-controlled schema changes without data loss.
This tutorial demonstrates building a conversational AI agent for US economic data entirely within Snowflake's unified platform. It covers ingesting free marketplace data, transforming it with Snowpark Python, automating updates via dynamic tables, and deploying a Streamlit interface for natural language queries.
![Lessons from 15,031 hours of coding live on Twitch with Chris Griffing [Podcast #214]](https://i.ytimg.com/vi/ajIss2t5FxM/hqdefault.jpg)
After 15,000 hours of live coding on Twitch, developer Chris Griffing argues that server-side rendering is overused for most applications, AI 'vibe coding' works for personal tools but harms production maintainability, and learning in public accelerates growth by embracing vulnerability.
Simon Severino, CEO of Strategy Sprints, demonstrates how developers can automate their entire sales pipeline using Claude Code integrated with Obsidian, Notion, and Hunter to eliminate administrative tasks and scale personalized outreach. The system replaces manual CRM management with AI 'collaborators' that handle ideal client profiling, lead generation, and AB-tested cold email campaigns, reducing 8-hour tasks to 10 minutes.