// 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