# Hacktron vs Kodus

Hacktron records 125,526 monthly visits with -40.9% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Kodus records 32,150 monthly visits with -14.2% growth and Freemium pricing.

| Metric | [Hacktron](https://openaitools.app/tool/hacktron) | [Kodus](https://openaitools.app/tool/kodus-io) |
| :--- | :--- | :--- |
| Website URL | https://hacktron.ai | https://kodus.io |
| Categories | AI Agent, AI Code Review, AI Developer Tools | AI Code Review, AI Agent, AI Developer Tools, Open Source AI Models |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 125,526 | 32,150 |
| MoM Growth Rate | -40.9% | -14.2% |
| Primary Market | India | Nigeria |
| Direct Visits | 34,807 | 13,235 |
| Review Score | 4.4 | 4.5 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## Hacktron

Hacktron is an AI-native cybersecurity platform built around the idea that offensive security should run continuously rather than in occasional annual engagements. It bundles three products under one roof: Red for ongoing adversary-style testing of your entire attack surface, Whitebox for deep white-box penetration testing driven by source-code analysis, and Review for automated security checks on every pull request.

The approach leans on AI agents that read actual code, reproduce issues, and attempt to demonstrate exploitability. This matters because traditional static analysis tools generate large volumes of theoretical findings that security teams must triage manually. Hacktron's stated position is to report only what it can prove is exploitable, with remediation guidance attached, so engineers spend their time on real risk.

Reported customers are engineering and product-security teams, including CTOs and compliance officers who need audit-ready evidence for SOC 2 and ISO 27001. The company has publicly announced a partnership with OpenAI to find vulnerabilities in its systems, and it publishes security advisories, a changelog, and open-source tooling. Deployment ranges from a self-serve Review trial to on-premises enterprise installations for sensitive environments.

**Pricing & Plans:** Freemium with custom enterprise tiers. Hacktron Review Pro starts at about $40 per developer per month including 50 pull requests per developer, with $1 per additional PR, and is free for open source. Whitebox pentests are priced per engagement, roughly $50 to $25,000 depending on scope (about $500 per 100,000 lines of code). Red and enterprise deployments are quote-based.

- **Continuous red teaming:** Hacktron Red continuously attacks your entire organization the way a real adversary would, then shows you the breach path and helps close it.
- **Machine-speed white-box pentests:** Hacktron Whitebox reads your source code, proves each finding in a sandbox or against your deployed app, and produces an audit-ready report for SOC 2 or ISO 27001.
- **Pull request security review:** Every pull request is checked with your whole codebase as context, so issues are caught before they merge into main.
- **Exploitability-based findings:** Only findings that can be shown to be exploitable are reported, verified rather than predicted.
- **API, MCP, and automations:** An API, MCP server, and automation layer let teams wire Hacktron into existing CI/CD and security workflows.

**Strengths:** Combines red teaming, white-box pentesting, and PR review in a single platform; Focuses on verified, exploitable findings instead of raw theoretical alerts; Transparent published pricing for Review and Whitebox tiers; Free for open source, with self-serve trial and API/MCP access

**Limitations:** Red teaming and enterprise deployment require a sales conversation; Whitebox pentest pricing scales with codebase size, which can get expensive; Best value requires integrating it into your existing CI/CD and code review flow

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

## Kodus

Kodus tackles the growing volume of automated review noise by putting your own models and rules at the centre. The review agent, Kody, does more than comment on a diff line: it maps the callers, callees and tests around each change, including code in other repositories you link, so it can flag a bug whose blast radius spreads across files and services. Review rules can be written in plain language or imported from files your team already keeps, such as .cursorrules, CLAUDE.md or AGENTS.md, which keeps review behaviour consistent with how you already work.

Beyond style checks, Kodus validates business rules. It pulls requirements from Jira, Linear and Notion and checks every pull request against them, flagging requirements that break. You can reply to Kody inside the PR to ask why something was flagged or to push back; when you correct it, Kody offers to save that correction as a memory for future reviews. Suggestions that are never implemented are converted into issues automatically, so technical debt stays visible instead of quietly rotting in a closed PR.

The commercial side of the product is deliberately transparent. The Community plan is free to self-host with no seat minimums, and the cloud offers a 14-day free trial with up to 35 PR reviews and no credit card. Every plan supports bring-your-own-key, and there are no reviews-per-hour or PR quotas. On the Teams plan, the per-user fee covers platform infrastructure only — token spend stays on your own bill with whichever provider you choose. A delivery dashboard tracks deploy frequency, cycle time, bug ratio and PR size.

**Pricing & Plans:** Freemium. A free Community plan self-hosts on your own infrastructure (Docker Compose or Helm) with no seat minimums. The cloud offers a 14-day free trial including up to 35 PR reviews and no credit card. The Teams plan is around $10 per user for platform infrastructure. You bring your own LLM API keys on every plan and pay the model provider directly at list price, with no markup or token limits. Enterprise adds SSO, RBAC, audit logs and dedicated support.

- **Open-source, self-hostable core:** The review core is AGPL licensed and deploys with Docker Compose or Helm, so reviews can stay inside your own network with no sales call required.
- **Bring your own model, zero markup:** Use any provider with an OpenAI-compatible API on every plan, choose a different model per repository, and set a fallback model. You pay the provider at list price.
- **Cross-repository impact analysis:** Kody maps callers, callees and tests around each change, including linked repositories, to judge the blast radius of a modification.
- **Business-rule validation:** Pulls requirements from Jira, Linear and Notion and checks every pull request against acceptance criteria, flagging what breaks.
- **Auto-tracked technical debt:** Unimplemented review suggestions become issues automatically, and an engineering productivity dashboard reports cycle time, deploy frequency and bug ratio.

**Strengths:** Open-source AGPL core that can be audited and self-hosted; Bring-your-own-key on every plan with no token markup or PR quotas; Rules can be written in plain language or imported from existing agent config files; Validates Jira, Linear and Notion requirements against real pull requests

**Limitations:** Model costs sit outside the subscription, so total spend depends on your LLM provider; Self-hosting assumes your team is comfortable with Docker or Kubernetes; Review quality depends heavily on the model you bring, so results vary by key

[Profile (Markdown)](https://openaitools.app/tool/kodus-io.md)

## Frequently Asked Questions

### How do Hacktron and Kodus compare in monthly traffic?

Hacktron has 125,526 monthly visits, while Kodus has 32,150. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hacktron has a month-over-month growth rate of -40.9%; Kodus has -14.2%.

### How does pricing compare?

Hacktron: Freemium, Paid, Contact for Pricing. Freemium with custom enterprise tiers. Hacktron Review Pro starts at about $40 per developer per month including 50 pull requests per developer, with $1 per additional PR, and is free for open source. Whitebox pentests are priced per engagement, roughly $50 to $25,000 depending on scope (about $500 per 100,000 lines of code). Red and enterprise deployments are quote-based. Kodus: Freemium. Freemium. A free Community plan self-hosts on your own infrastructure (Docker Compose or Helm) with no seat minimums. The cloud offers a 14-day free trial including up to 35 PR reviews and no credit card. The Teams plan is around $10 per user for platform infrastructure. You bring your own LLM API keys on every plan and pay the model provider directly at list price, with no markup or token limits. Enterprise adds SSO, RBAC, audit logs and dedicated support.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [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) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 9 | [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) |
| 10 | [Bito](https://openaitools.app/tool/bito) | 63,829 | +9.8% | Freemium, Paid, Contact for Pricing | Context-aware AI code reviews and a model router for coding agents | [.md](https://openaitools.app/tool/bito.md) |

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Source: https://openaitools.app/compare/hacktron-vs-kodus-io

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