# aiCode.fail vs CodeThreat

aiCode.fail records 0 monthly visits with 0% month-over-month growth and Free Trial, Paid pricing. CodeThreat records 674 monthly visits with -70.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [aiCode.fail](https://openaitools.app/tool/aicode-fail) | [CodeThreat](https://openaitools.app/tool/codethreat) |
| :--- | :--- | :--- |
| Website URL | https://aicode.fail | https://codethreat.com |
| Categories | AI Checker, AI Code Review, AI Developer Tools, AI Testing | AI Code Review, AI Code Assistant, AI Assistant, AI Testing |
| Pricing Model | Free Trial, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 0 | 674 |
| MoM Growth Rate | 0% | -70.5% |
| Primary Market | Global | Brazil |
| Direct Visits | 0 | 279 |
| Review Score | 3.9 | 4.4 |
| Saved Count | 1 | 2 |
| Supported Platforms | Website | Website |

## aiCode.fail

aiCode.fail addresses a specific and familiar failure mode: AI coding assistants confidently produce code that subtly does not work. Because the model that wrote a snippet also tends to overlook its own mistakes, the tool takes a deliberately different approach. It analyses your code outside the context of the original chat, giving it a fresh perspective and a better chance of spotting contradictions, invented APIs or unsafe patterns.

The workflow centres on a browser-based Monaco editor. You paste or type the generated code, ask for an audit, and review the results, which are grouped around three themes: hallucination detection, security exposure and debugging support. The service states that it works with any programming language, is compatible with all major LLMs, and never compiles your code — the analysis is static, so nothing has to build or run before you get feedback. That makes it suitable as a quick checkpoint between generating code and committing it.

Pricing is straightforward. A free tier lets you try the checker with a limited number of audits. Paid plans remove that cap: an annual plan is advertised at roughly $5 per month with a 40% saving over the monthly option, and the month-to-month plan at roughly $9 per month, both including a 14-day trial and instant copy of results. The product appears on Product Hunt and is aimed squarely at developers who lean on AI assistants during sprints.

**Pricing & Plans:** 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.

- **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.
- **Browser editor, no compilation:** You work in a familiar Monaco editor and your code is never compiled, keeping the audit lightweight and fast.

**Strengths:** 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

**Limitations:** Static analysis cannot guarantee a program will run correctly end to end; Free tier restricts the number of audits, so heavier use requires a paid plan; It audits snippets in a browser editor rather than integrating deeply into a full project workflow

[Profile (Markdown)](https://openaitools.app/tool/aicode-fail.md)

## CodeThreat

CodeThreat positions itself as an all-in-one application security platform for engineering teams that find traditional static analysis too noisy. Instead of relying only on pattern rules, it layers AI agents on top of the scanning engine: one agent reviews code changes at pull-request level, another re-examines each finding and explains why it is probably a false positive, and another maps the whole repository to build context around architecture, endpoints, dependencies and data flows. Findings therefore arrive with project context rather than as an undifferentiated list of alerts.

Coverage spans the main AppSec categories in a single product — SAST for source code, SCA for dependencies, infrastructure-as-code scanning, container security and secret scanning — which reduces the number of separate tools a security team has to integrate and correlate. The AI SAST layer is aimed at issues that rule-based scanners often miss, such as logical flaws, authentication path problems and risky data flows. The vendor reports support for more than 27 programming languages and frameworks, with native integrations for GitHub, GitLab, Bitbucket, CI/CD pipelines and cloud providers.

Commercially, CodeThreat follows a land-and-expand model: a free plan for small teams, a per-contributor Pro plan for teams shipping at scale, and an Enterprise tier adding on-premises deployment, SLA-backed support, advanced compliance reporting, private LLM hosting options and manual invoicing. All-in-one consolidation plus enterprise deployment options such as private LLM hosting suggest the target buyer sits in security engineering at mid-size to large software organisations.

**Pricing & Plans:** 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.

- **Agentic PR review:** An AI agent analyses code changes at pull-request level and surfaces risks before merge, so security becomes part of code review rather than a post-release audit.
- **False positive elimination:** A dedicated agent re-checks each finding, flags non-exploitable ones and explains why they are likely false positives, so developers spend their time on real vulnerabilities.
- **AI SAST with project context:** Understands repository context to detect complex issues such as logic flaws, authentication problems and unsafe data flows that rule-based scanners frequently miss.
- **Repository mapping and agentic repo analysis:** Maps the entire codebase, links components and flows, and generates insights on architecture, documentation, endpoints, dependencies and data flow for faster onboarding.
- **Unified AppSec coverage:** SAST, SCA, IaC scanning, container security and secret scanning in one platform, with integrations for GitHub, GitLab, Bitbucket and CI/CD pipelines across 27+ languages.

**Strengths:** AI agents filter false positives and explain findings in developer-friendly language, which reduces alert fatigue; Genuinely consolidated coverage: SAST, SCA, IaC, container and secret scanning in one platform; Transparent self-serve pricing with a free tier and a $39 per contributor Pro plan; Wide language support (27+) and native integrations with GitHub, GitLab, Bitbucket and CI/CD pipelines

**Limitations:** The most advanced governance features — on-prem deployment, SLA support, private LLM hosting — are locked behind Enterprise pricing that must be quoted; Effectiveness depends on how well the AI agents understand a given codebase, so heavily customised or unusual stacks may need evaluation; Free plan limits private repositories to three, which is tight for anything beyond a small team

[Profile (Markdown)](https://openaitools.app/tool/codethreat.md)

## Frequently Asked Questions

### How do aiCode.fail and CodeThreat compare in monthly traffic?

aiCode.fail has 0 monthly visits, while CodeThreat has 674. Traffic estimates describe audience size, not product quality.

### 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 2 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 3 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |
| 4 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 5 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 6 | [Hacktron](https://openaitools.app/tool/hacktron) | 125,526 | -40.9% | Freemium, Paid, Contact for Pricing | AI-native offensive security: continuous red teaming, white-box pentests, and PR review | [.md](https://openaitools.app/tool/hacktron.md) |
| 7 | [Macroscope](https://openaitools.app/tool/macroscope) | 106,170 | +39.6% | Free Trial, Paid, Contact for Pricing | AI code review and status updates that keep every repo on track | [.md](https://openaitools.app/tool/macroscope.md) |
| 8 | [cubic](https://openaitools.app/tool/cubic) | 51,508 | -10.5% | Freemium, Contact for Pricing | AI code review that understands your whole codebase | [.md](https://openaitools.app/tool/cubic.md) |
| 9 | [Beagle Security](https://openaitools.app/tool/beagle-security) | 38,309 | -35.8% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic AI penetration testing for web apps, APIs and GraphQL | [.md](https://openaitools.app/tool/beagle-security.md) |
| 10 | [AquilaX](https://openaitools.app/tool/aquilax) | 18,188 | -5.4% | Freemium | 32 security scanners in one AI-filtered DevSecOps pass | [.md](https://openaitools.app/tool/aquilax.md) |

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Source: https://openaitools.app/compare/aicode-fail-vs-codethreat

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