How do their growth rates compare?

aiCode.fail has a month-over-month growth rate of 0%; cubic has -10.5%.

How does pricing compare?

aiCode.fail: Free Trial, Paid. Free tier with limited audits. Paid plans cost about $5/month billed annually (40% saving) or about $9/month month-to-month; both include a 14-day trial and unlimited audits. cubic: Freemium, Contact for Pricing. Starts free: the Starter tier includes 20 PR reviews per month. Paid per-developer plans are billed yearly with a discount, listed as Team Core at $30 per developer per month with 40,000 reviewed lines, Pro at $79 per developer per month with 80,000 reviewed lines and every feature, and Max at $160 per developer per month with 160,000 reviewed lines. Enterprise adds SSO/SAML, audit logs, and custom terms. cubic is free for open source teams, and extra lines can be purchased as flex capacity at $20 per 10,000 lines.

What are alternatives to aiCode.fail and cubic?

Other tools in related categories include Cursor, Google Antigravity, Devin, Command Code, Aikido Security.

aiCode.fail vs cubic — Traffic (0 vs 51.51K), Pricing & Verdict

Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	aiCode.fail	cubic
Official Domain	aicode.fail	cubic.dev
Pricing Model	Free Trial, Paid	Freemium, Contact for Pricing
Monthly Visits	0 (0)	51.51K (51,508)
MoM Traffic Delta	0 (0%)	-6.07K (-10.5%)
Primary Market & Share	🌐 Global (—)	🇺🇸 United States (41.5%)
Direct Visits / mo	0	28.45K
User Rating	3.9	4.2
Supported Platforms	Website	Website

aiCode.fail

Audit AI-generated code for hallucinations, security flaws and bugs before you ship

Hallucination detection

A dedicated model reviews generated code outside the original chat context, where assistants rarely spot their own mistakes.

Security issue exposure

Audits flag security-relevant patterns such as unsafe handling of input, secrets or dependencies in the reviewed snippet.

Debugging acceleration

Findings point to suspicious logic and likely faults so you can fix problems before they compound in later commits.

Works with all LLMs

The checker is model-agnostic, so output from any AI assistant or coding agent can be audited in the same workspace.

Strengths & Pros

+Specifically targets AI-generated code rather than generic linting
+Reviews code outside the original chat context, which helps surface mistakes assistants overlook
+Works with any programming language and all major LLMs
+Free tier available, with clearly listed paid tiers and a 14-day trial