# Earmark vs VS Code

Earmark records 2,015 monthly visits with -33.9% month-over-month growth and Free Trial, Paid pricing. VS Code records 7,397,370 monthly visits with -3.8% growth and Freemium pricing.

| Metric | [Earmark](https://openaitools.app/tool/earmark) | [VS Code](https://openaitools.app/tool/vs-code) |
| :--- | :--- | :--- |
| Website URL | https://www.tryearmark.com | https://code.visualstudio.com |
| Categories | AI Product Manager, AI Meeting Assistant, AI Agent, AI Productivity Tools | AI Code Assistant, AI Agent, AI Developer Tools, AI Copilot |
| Pricing Model | Free Trial, Paid | Freemium |
| Monthly Visits | 2,015 | 7,397,370 |
| MoM Growth Rate | -33.9% | -3.8% |
| Primary Market | Global | United States |
| Direct Visits | 793 | 2,171,461 |
| Review Score | 4.2 | 4.8 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Earmark

Earmark reframes the meeting as the work itself. Instead of taking notes and reconstructing decisions afterward, teams ask Earmark for the output they need — a spec, a decision record, a follow-up — and it drafts that document from the live conversation while the people with the answers are still in the room.

A core strength is handoff. Earmark prepares ticket drafts with titles, descriptions, and acceptance criteria for Linear or Jira, and can build briefs for Cursor or UI prompts for v0 that export with one click. Saved meetings live in Projects so invited teammates can query the shared context later. It can also suggest better questions during the discussion, improving as the conversation develops.

Privacy is treated seriously. Earmark states that customer meeting content is never used to train AI models and that its AI providers are held to the same rule. Meetings can be saved or run in Temporary Mode so their content stays out of history, transcript files can be stored locally as Markdown for use in Obsidian or with coding agents, and teams get a botless capture experience rather than a bot joining the call.

**Pricing & Plans:** Earmark offers a free trial with paid plans; see the pricing section on the site for current tiers and seat details.

- **Live deliverable drafting:** Ask for a spec, decision record, or follow-up and Earmark drafts it during the meeting so gaps surface while they are easy to fix.
- **Ticket and handoff exports:** Generate ticket drafts with acceptance criteria and export reviewed work to Linear or Jira, or briefs into Cursor and v0.
- **Botless capture with projects:** No bot joins the call, and saved meetings live in Projects where invited teammates can query the shared context later.
- **Suggested questions:** Earmark proposes clarifying questions in real time, sharpening as the discussion progresses.
- **Local Markdown transcripts:** The desktop app can save transcripts as Markdown files you can use in Obsidian or feed to coding agents.

**Strengths:** Deliverables are drafted live in the meeting rather than reconstructed later; One-click export into Linear, Jira, Cursor, and v0 fits existing workflows; Explicit commitment not to train AI models on customer meeting content; Botless capture plus local Markdown transcripts give teams flexibility and control

**Limitations:** Focused on product and engineering meetings, so other use cases get less tailored output; Temporary Mode and local transcript storage require deliberate setup; Best value depends on the team actually adopting the exported tickets and briefs

[Profile (Markdown)](https://openaitools.app/tool/earmark.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 Earmark and VS Code compare in monthly traffic?

Earmark has 2,015 monthly visits, while VS Code has 7,397,370. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Earmark has a month-over-month growth rate of -33.9%; VS Code has -3.8%.

### How does pricing compare?

Earmark: Free Trial, Paid. Earmark offers a free trial with paid plans; see the pricing section on the site for current tiers and seat details. 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 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | AI meeting agent that transcribes, summarises, and turns every conversation into searchable knowledge | [.md](https://openaitools.app/tool/otter-ai.md) |
| 5 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | AI notetaker that records, transcribes and summarizes meetings — bot-free | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 6 | [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) |
| 7 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 8 | [Read Speaker Coach](https://openaitools.app/tool/read-speaker-coach) | 4,071,302 | -4.8% | Freemium, Paid | Meeting summaries, transcripts, and AI search that turn meetings into outcomes | [.md](https://openaitools.app/tool/read-speaker-coach.md) |
| 9 | [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) |
| 10 | [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) |

---
Source: https://openaitools.app/compare/earmark-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)