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The Most Annoying Part of AI Coding Isn’t Bad Code

A developer has identified that the most frustrating aspect of AI-assisted coding is not generating bad code, but the need to repeatedly re-explain project context, architecture, and decisions. To solve this, the developer created Contorium, a tool designed to help AI maintain awareness of a project's history and ongoing tasks. The goal is to provide continuity for developers, particularly beginners, so they can move forward without constantly reminding the AI of what has already been done.

read1 min publishedMay 30, 2026

As developers, we often talk about AI making mistakes.

Wrong functions.

Broken logic.

Hallucinated APIs.

But honestly?

Those aren’t the most annoying problems.

The most annoying problem is having to repeat yourself.

Again.

And again.

And again.

You explain your project.

The architecture.

The folder structure.

The current task.

The previous decisions.

Then the next day, you start over.

For small experiments, that’s fine.

For real projects, it’s frustrating.

AI can generate code quickly.

But software development isn’t just code generation.

It’s a process.

A long-running process.

Projects evolve.

Requirements change.

Tasks build on top of previous tasks.

Developers remember these things naturally.

AI usually doesn’t.

That’s why I started working on Contorium.

The idea is simple:

Help AI maintain awareness of what has already happened inside a project.

Not because developers need more code generation.

But because developers need continuity.

Especially beginners.

When you’re learning, context matters.

You don’t want to spend half your time reminding an AI what you’re working on.

You want to keep moving forward.

That’s the problem I’m trying to solve.

Not making AI write more code.

Making AI stop forgetting.

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