[Guide] Making coding agents (Claude Code, Codex, etc.) reliable 🛠️

Model capability is rarely the problem when AI coding agents fail. The real bottleneck is your verification infrastructure. When humans cope but agents crash, it is usually because the intent is not locked before implementation. This leads to the phenomenon of AI slop.

To build reliable agents, you need to shift your approach:

• Focus on the asymmetry of verification.
• Use spec-driven development to lock intent.
• Build a robust infrastructure using the eight pillars of verification.
• Create a flywheel that makes reliable Software 2.0 possible.

This shift helps prevent agents from crashing and ensures your code remains highly verifiable.

Check out the full technical breakdown for the 8 pillars and the self-assessment guide:

Making coding agents (Claude Code, Codex, etc.) reliable - Upsun Developer

The bottleneck for AI coding agents isn't model capability. It's your verification infrastructure. Here's how to fix that.

developer.upsun.com