X (Twitter) @Ubendev: GLM 5.3 Finds 10 Serious Bugs in Backend Code Written by Claude

Core content summary

The author shared a cross-validation experience from a real workflow: after having Claude write the backend for a landing page, they used GLM 5.3 to review the code, and GLM 5.3 found 10 serious bugs.

Key points from the review (full original text)

"I had Claude help me write the backend for a landing page, and GLM 5.3 found 10 serious bugs. So, never completely trus… This is a necessary excerpt; read the original source for full context.

Interpretation

• Real-world validation: GLM 5.3 performed strongly on the task of "reviewing someone else's (Claude's) code"—corroborating the official claim that its "cybersecurity capability = SOTA in code review/vulnerability discovery" (CyberGym 84.5%) as well as @Rafa_Schwinger's review test.

• Workflow takeaway: GLM-5.3 is highly practical as a "second pair of eyes" (an AI that cross-reviews another AI); community members such as @Sal7one have also reported a practice of "having GLM 5.3 review every few hours."

• In the comments, @neerajjj6785 asked: "Why don't more companies just have Claude Code write their entire backend?"—a discussion of the possibility of AI taking over full-stack development.

• Note: This is a personal workflow anecdote, not a controlled evaluation; nevertheless, "AI cross-reviewing AI" is a representative real-world application of GLM-5.3's safety and review capabilities.

Key data

• Platform: X (Twitter)

• Date: 2026-08-16

• Type: Real-world workflow anecdote (Claude writes code → GLM 5.3 reviews it and finds 10 serious bugs)