How do their growth rates compare?

aiCode.fail has a month-over-month growth rate of 0%; CodeThreat has -70.5%.

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. CodeThreat: Freemium, Contact for Pricing. Freemium with a published entry price: Free plan at $0/month (3 private repositories, limited agentic PR review and false-positive elimination, SAST + SCA), Pro at $39 per contributor per month adding RBAC, secret scanning, infrastructure security, Jira integration and vulnerability reporting/exports, and Enterprise pricing on request for on-prem deployment, SLA support, compliance reporting and private LLM hosting.

What are alternatives to aiCode.fail and CodeThreat?

Other tools in related categories include Cursor, Command Code, CodeRabbit, Aikido Security, Augment Code.

aiCode.fail vs CodeThreat — Traffic (0 vs 674), Pricing & Verdict

Open AI Tools

aiCode.fail vs CodeThreat — Traffic (0 vs 674), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	aiCode.fail	CodeThreat
Official Domain	aicode.fail	codethreat.com
Pricing Model	Free Trial, Paid	Freemium, Contact for Pricing
Monthly Visits	0 (0)	674 (674)
MoM Traffic Delta	0 (0%)	-1.61K (-70.5%)
Primary Market & Share	🌐 Global (—)	🇧🇷 Brazil (76.3%)
Direct Visits / mo	0	279
User Rating	3.9	4.4
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