# Devzery vs VS Code

Devzery records 2,378 monthly visits with -85.1% month-over-month growth and Contact for Pricing pricing. VS Code records 7,397,370 monthly visits with -3.8% growth and Freemium pricing.

| Metric | [Devzery](https://openaitools.app/tool/devzery) | [VS Code](https://openaitools.app/tool/vs-code) |
| :--- | :--- | :--- |
| Website URL | https://www.devzery.com | https://code.visualstudio.com |
| Categories | AI Testing, AI API, AI Agent, AI Developer Tools | AI Code Assistant, AI Agent, AI Developer Tools, AI Copilot |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 2,378 | 7,397,370 |
| MoM Growth Rate | -85.1% | -3.8% |
| Primary Market | United States | United States |
| Direct Visits | 945 | 2,171,461 |
| Review Score | 4.2 | 4.8 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Devzery

Devzery is an AI-powered API regression testing platform for QA and engineering teams. Its core is a self-driving AI agent that runs end-to-end regression tests at the API level, verifying user-level functionality, validating integrations and tracking API changes in real time. The goal is to catch regressions earlier in the SDLC and shrink the time spent on manual test authoring.

The platform generates context-rich test suites from a PRD or project details, adapts tests automatically as APIs change, and produces AI-written bug reports with status, related test cases, expected versus actual results and error descriptions. It also generates Swagger documentation for APIs automatically, removing a common manual chore.

Devzery integrates with project management and CI/CD tools such as Jira, GitHub Actions and Jenkins so regression suites can be triggered on every merge or deployment. A middleware SDK with Node, Java, Python and Golang support logs API requests and responses for continuous regression coverage, and Devzery also publishes an open-source UI test case generator on GitHub.

**Pricing & Plans:** Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo.

- **Self-driving API regression agent:** An AI agent runs end-to-end functional regression tests at the API level and tracks API changes in real time.
- **AI-generated test suites:** Devzery analyzes your PRD or project details to generate context-rich API test cases, including edge-case scenarios for broader coverage.
- **Automatic Swagger documentation:** AI analyses complex data structures and generates accurate, up-to-date Swagger schema definitions for your APIs.
- **CI/CD and project management integrations:** Plug into Jira, GitHub Actions and Jenkins to trigger regression suites automatically on merges and deployments.
- **Middleware SDK logging:** Middleware SDKs for Node, Java, Python and Golang log API requests and responses for continuous regression coverage.

**Strengths:** Automates API-level regression testing end to end; Generates test cases from PRDs and product context; Native integrations with Jira, GitHub Actions and Jenkins; Open-source UI test case generator available

**Limitations:** No public pricing; you must contact the team; Product is early-stage with a waitlist for new users; Some marketing claims (2x/3x multipliers) are vendor-reported

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

## VS Code

VS Code has grown from a lightweight code editor into a full development surface that spans hand-written code and delegated agent work. The core promise is unchanged: rich language support, precise navigation, an integrated debugger and terminal, and a source control view that keeps you in flow. What is new is the AI layer on top. Agents understand your codebase, work through a plan with you, apply changes across files, and present results for review rather than silently rewriting your project. A dedicated Agents window coordinates several agents running in parallel so you can move a backlog forward while you work on something else.

Under the hood, VS Code is deliberately open about how you build with AI. You are not locked to one vendor: you can choose models from Anthropic, OpenAI, Google or Microsoft, use open-weight models, or bring your own API key from another provider. You also choose the agent harness, whether that is Copilot, Claude or Codex. Model Context Protocol servers and the MCP registry extend what agents can reach, while custom agents, skills, instructions and hooks let teams encode their own conventions. Permissions, approvals and agent sandboxing give you control over what an agent is allowed to run.

Because AI features such as inline suggestions, chat and agent sessions are delivered through a GitHub Copilot subscription, the practical cost depends on your plan and how heavily you use agents. The editor, extensions, remote development support, terminal, debugging and Git integration remain free. With thousands of Marketplace extensions, accessibility features like screen reader support and high contrast themes, and a long track record of open development on GitHub, VS Code suits solo developers, small teams and large enterprises alike.

**Pricing & Plans:** VS Code itself is free and open source on all supported platforms. The built-in AI features — inline suggestions, chat and agent sessions — are delivered through a GitHub Copilot subscription: a limited free tier for occasional use, plus paid individual and business plans for higher usage, premium models and team controls. Marketplace extensions are mostly free, though some add their own paid tiers.

- **Agent collaboration and orchestration:** Agents open the repository, form a plan, edit multiple files and explain the changes so you can review each diff before accepting it. You can also run several agents in parallel to push a backlog forward.
- **Model and harness choice:** Point the editor at Anthropic, OpenAI, Google, Microsoft or open-weight models, or bring your own key. Pick the Copilot, Claude or Codex harness that matches how you like to work.
- **Deep language support:** JavaScript, TypeScript, HTML and CSS work out of the box, and Marketplace extensions add IntelliSense, linting, refactoring and debuggers for Python, Java, C++, Go, Rust and more.
- **Full development workflow:** Integrated terminal, source control, debugger, testing, Jupyter notebooks, an integrated browser and Dev Containers all live in one window, so you stay close to the code.
- **Continuity across surfaces:** Start a task locally, answer an agent's question from GitHub Mobile, redirect it in the Copilot CLI and let teammates review the pull request on GitHub.com. Settings Sync keeps everything aligned.
- **Open, extensible and everywhere:** Run the editor on Windows, macOS or Linux, in the browser at vscode.dev, inside a container, over SSH or WSL, and reach agents on your machine through Dev Tunnels.

**Strengths:** Free, open-source editor with a mature extension ecosystem and years of active development; AI agents work directly on your real codebase with plans, diffs and reviewable changes; Freedom to mix models from Anthropic, OpenAI, Google, Microsoft or open-weight providers, and to pick the Copilot, Claude or Codex harness; One setup covers local development, containers, SSH, WSL, remote tunnels and browser-based editing

**Limitations:** AI agent and chat features require a paid GitHub Copilot plan, and heavier agent workflows consume premium request quotas quickly; The full agent feature set spans VS Code, the Copilot CLI, GitHub Mobile and GitHub.com, which can feel fragmented while the ecosystem matures; Extensions run with editor privileges, so a poorly maintained or malicious add-on can pose a supply-chain risk; Large workspaces with many extensions and language servers can get memory-hungry and slow on modest hardware

[Profile (Markdown)](https://openaitools.app/tool/vs-code.md)

## Frequently Asked Questions

### How do Devzery and VS Code compare in monthly traffic?

Devzery has 2,378 monthly visits, while VS Code has 7,397,370. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devzery has a month-over-month growth rate of -85.1%; VS Code has -3.8%.

### How does pricing compare?

Devzery: Contact for Pricing. Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo. VS Code: Freemium. VS Code itself is free and open source on all supported platforms. The built-in AI features — inline suggestions, chat and agent sessions — are delivered through a GitHub Copilot subscription: a limited free tier for occasional use, plus paid individual and business plans for higher usage, premium models and team controls. Marketplace extensions are mostly free, though some add their own paid tiers.

## 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 | AI-native code editor built on VS Code fork with deep multi-file editing and intelligent codebase indexing. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Agentic development platform offering an IDE and command center for running parallel AI coding agents. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Cloud-based development environment featuring an AI agent that builds, runs, and deploys full-stack applications instantly. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Agentic coding platform and IDE plugin that reads entire codebases to plan and complete multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Spec-driven AI IDE and agent platform from AWS that plans, builds, reviews, and verifies engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Autonomous AI software engineer that independently plans, writes, and tests code across entire repositories. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | Lightweight, customizable terminal coding agent supporting multiple model providers and extensible packages. | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 8 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source workspace control plane for orchestrating multiple coding agents from a single unified interface. | [.md](https://openaitools.app/tool/t3-code.md) |
| 9 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | AI-powered IDE and coding agent that understands entire projects to plan, edit, and test code. | [.md](https://openaitools.app/tool/trae.md) |

---
Source: https://openaitools.app/compare/devzery-vs-vs-code

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)