// CHANNEL Context Shift

// ABOUT

THE 75% PROBLEM

Why AI-generated code fails at 75% completion,\nand what we can do about it.

// THE_PROBLEM

AI CODE BREAKS DOWN

Most AI-generated code works great at first. The initial prototype is impressive. But as the project grows more complex, something happens around the 75% mark. The AI starts making mistakes. It forgets context. It generates code that conflicts with earlier decisions. The magic fades, and you are left debugging AI slop.

// THE_SOLUTION

LEARNING TO WORK WITH AI

Context Shift explores how to make AI-assisted development actually work. We show the failures alongside the successes. We break down where AI struggles and how to structure your projects, prompts, and workflow to get the best results. No hype, just real projects with real problems.

// THE_CONTENT

WHAT WE COVER

SYSTEMS

Zig, Rust, low-level programming

ELIXIR

Phoenix, LiveView, BEAM VM

HARDWARE

FPGAs, microcontrollers

AI TOOLS

Claude, ChatGPT, Copilot