Why AI "Copilots" are great for writing code, but terrible for reviewing it.

As developers, we’ve entered the age of "Automated Coding." We use Copilot, Cursor, and ChatGPT to generate hundreds of lines of code in seconds.

But here is the paradox: We are writing code faster than we can possibly review it.

Is your team’s Pull Request (PR) backlog growing because of AI? How are you keeping up with the quality control of "AI-assisted" code?

How we’re rethinking the PR at Cubic
We didn't just want to build another bot that leaves "nitpick" comments. We wanted to build a platform that gives humans superpowers during the review process.

Logical Grouping: We group diffs by intent (e.g., "Refactoring Auth Logic") rather than just showing you an alphabetical list of files.

Contextual Awareness: Our engine scans the entire codebase to understand the "why" behind the change.

Adaptive Learning: You can teach the AI your team's specific standards in plain English.

Let’s Chat!
We want to hear from engineering teams:

• Have you seen a "bottleneck" in your PRs since your team started using AI coding tools?
• Do you trust an AI to "approve" code, or should it only ever be a "second pair of eyes"?
• What is the biggest "AI-generated bug" that almost made it into your production branch?

We'll be hanging out in the comments to talk shop about the future of dev tools!