The 70% problem: Hard truths about AI-assisted coding

An essay into the complexities of Code Generation. From our perspective, the earliier part of it is spot on about the challenges of using AI Coding models, the later parts are mostly speculation

This creates what I call the “knowledge paradox”:

Seniors use AI to accelerate what they already know how to do

Juniors try to use AI to learn what to do

The results differ dramatically

I’ve watched senior engineers use AI to:

Rapidly prototype ideas they already understand

Generate basic implementations they can then refine

Explore alternative approaches to known problems

Automate routine coding tasks

Meanwhile, juniors often:

Accept incorrect or outdated solutions

Miss critical security and performance considerations

Struggle to debug AI-generated code

Build fragile systems they don't fully understand