# CodeThreat vs Verdent Deck

CodeThreat records 674 monthly visits with -70.5% month-over-month growth and Freemium, Contact for Pricing pricing. Verdent Deck records 374,943 monthly visits with -17.5% growth and Paid pricing.

| Metric | [CodeThreat](https://openaitools.app/tool/codethreat) | [Verdent Deck](https://openaitools.app/tool/verdent-deck) |
| :--- | :--- | :--- |
| Website URL | https://codethreat.com | https://www.verdent.ai |
| Categories | AI Code Review, AI Code Assistant, AI Assistant, AI Testing | AI Code Assistant, AI Developer Tools, AI Code Generator, AI Code Review |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 674 | 374,943 |
| MoM Growth Rate | -70.5% | -17.5% |
| Primary Market | Brazil | Brazil |
| Direct Visits | 279 | 119,632 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 2 | 1 |
| Supported Platforms | Website | Website |

## 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)

## Verdent Deck

Verdent Deck targets people who want finished products rather than autocomplete. Instead of suggesting the next line, it takes a plain-language goal, decomposes it into tasks, sets priorities and drives them forward using several agents working in parallel. Plan Mode lets you review and steer the approach before code is written, while the agents handle implementation, testing and bug fixing. Because the whole project stays in context, follow-up requests such as adding subscription billing or an admin dashboard build on existing work instead of restarting it.

The tool integrates where developers already work: a VS Code extension, a JetBrains plugin, and native desktop apps for macOS (Apple Silicon and Intel) and Windows. Notably, you can message Verdent from Slack or Telegram so a task keeps moving while you are away from your desk. Eco Mode runs lower-cost models without consuming credits, and BYOK (bring your own key) lets teams route work through their own model credentials; Verdent also publishes research on coding-agent alignment and model behavior.

Pricing is subscription-based with monthly credits that vary by tier, plus flexible top-up packs that do not expire and no markup on model costs. A limited-time free trial includes starter credits, and a credit bonus has been promoted for new subscriptions. A Teams plan adds a single consolidated bill and member management, while Enterprise offers custom usage, organization-wide controls and priority onboarding.

**Pricing & Plans:** Paid subscription tiers (as listed at the time of review): Lite about $5/month, Starter about $19/month, Pro about $59/month and Max about $179/month, with monthly credit allowances, Eco Mode capacity and app deployment limits increasing by tier. Teams is about $20 per user per month and Enterprise is custom-priced. Non-expiring top-up credit packs are also sold separately (roughly $0.059 per credit, with no markup on model costs).

- **Parallel multi-agent execution:** Give one goal and several agents work simultaneously on splitting, prioritizing, building and testing tasks, so large jobs finish faster than a single sequential assistant.
- **Plan Mode and project-wide context:** Review and adjust the plan before code is written, and keep the full project in context so later requests extend existing work instead of rebuilding it.
- **Editor and desktop integrations:** Available as a VS Code extension, a JetBrains plugin, and desktop apps for Apple Silicon and Intel Macs plus Windows, so you can work in your usual environment.
- **Eco Mode and BYOK:** Eco Mode uses lower-cost models without spending credits, and bring-your-own-key lets users run the agents on their own model provider credentials.
- **Remote task control:** Send tasks and follow-ups from Slack or Telegram, and get results back without staying tied to the keyboard.

**Strengths:** Parallel agent execution handles large, multi-part builds faster than single-threaded assistants; Plan Mode gives a review checkpoint before the agents write code, which helps keep output aligned with intent; Fits existing workflows through VS Code, JetBrains, Mac and Windows clients, plus Slack and Telegram for remote tasks; Cost flexibility via Eco Mode and BYOK, with non-expiring top-up credits and no markup on model pricing

**Limitations:** Credit consumption is usage-based, so heavy agent runs can exhaust monthly allowances and require top-ups; Subscription tiers start at a fairly high monthly price compared with lighter code assistants; The app-deployment and database allowances on lower tiers are capped, which can limit larger projects

[Profile (Markdown)](https://openaitools.app/tool/verdent-deck.md)

## Frequently Asked Questions

### How do CodeThreat and Verdent Deck compare in monthly traffic?

CodeThreat has 674 monthly visits, while Verdent Deck has 374,943. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CodeThreat has a month-over-month growth rate of -70.5%; Verdent Deck has -17.5%.

### How does pricing compare?

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. Verdent Deck: Paid. Paid subscription tiers (as listed at the time of review): Lite about $5/month, Starter about $19/month, Pro about $59/month and Max about $179/month, with monthly credit allowances, Eco Mode capacity and app deployment limits increasing by tier. Teams is about $20 per user per month and Enterprise is custom-priced. Non-expiring top-up credit packs are also sold separately (roughly $0.059 per credit, with no markup on model costs).

## 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 | Provides a smoother AI-native code editing experience, but relies less on isolated multi-agent worktree orchestration. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Offers robust multi-agent parallel execution across a dedicated desktop workspace, but lacks deep custom IDE extensions. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Excels at reading entire codebases for multi-file tasks, but offers less explicit parallel agent worktree control. | [.md](https://openaitools.app/tool/qoder.md) |
| 4 | [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) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 7 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | An open-source workspace control plane for managing multiple coding agents, but lacks native IDE editing features. | [.md](https://openaitools.app/tool/t3-code.md) |
| 8 | [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) |
| 9 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | An open-source agent development environment using git worktrees, but requires more manual setup than target. | [.md](https://openaitools.app/tool/orca.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/codethreat-vs-verdent-deck

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