# Devin vs jcode

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. jcode records 18,136 monthly visits with -22.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [jcode](https://openaitools.app/tool/jcode-sh) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://jcode.sh |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Code Assistant, AI Agent, AI Developer Tools, AI Code Generator |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 2,549,346 | 18,136 |
| MoM Growth Rate | +1% | -22.7% |
| Primary Market | United States | United States |
| Direct Visits | 1,386,401 | 11,865 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | website | Website |

## Devin

Devin sits at the agentic end of the AI coding spectrum. Instead of suggesting the next line, it takes a ticket-level goal - "add SAML SSO for enterprise customers" or "investigate this API latency spike" - explores the codebase across repositories, implements changes, runs tests, and explains the resulting pull request in plain language. It maintains a wiki-style map of the codebase so it can navigate unfamiliar services and keep documentation current as the code changes.

A defining feature is that Devin works on its own machine. It provisions Windows, Mac, and Linux virtual machines as needed, builds the project, exercises it in a browser, and can record itself clicking through the feature it just built. Long-running work continues in the cloud when your laptop is closed, and large tasks can be split across parallel agents that Devin coordinates and reports on.

For teams, Devin extends beyond one-off prompts. You can tag @Devin in Slack or Teams so it reads a thread and replies with a PR, set up automations that fix failing tests or patch vulnerable dependencies as they appear, and run security reviews. Pricing is seat-based and enterprise-oriented, with an Ultra tier for heavier autonomous usage, and Cognition has marketed large security-credit programs for enterprises.

**Pricing & Plans:** Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers.

- **End-to-end autonomous coding:** Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.
- **Its own virtual machines:** Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.
- **Slack, Teams, and alert integration:** Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.
- **Parallel cloud agents:** Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.
- **Codebase wiki and automations:** Devin maintains a living map of the architecture and supports recurring automations such as dependency upgrades, test fixes, and security scans.

**Strengths:** Handles ticket-level autonomous work rather than only suggesting code completions; Tests in its own browser and VMs, which catches issues that pure code generation misses; Deep workflow integration with Slack, Teams, CI, and alerting tools; Keeps working in parallel cloud agents even when your machine is off

**Limitations:** Premium, seat-based pricing puts it out of reach for casual individual use; Complex or poorly specified tasks still need human review before merging; Maximum value depends on having a well-structured repo and clean test setup

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

## jcode

jcode is an open-source coding agent designed to live in your terminal. Its central claim is performance: the harness is written in Rust so that each extra agent session costs a few megabytes of memory instead of hundreds, and new sessions open in tens of milliseconds. That matters for workflows where the bottleneck is not model intelligence but the ability to keep twenty agents working in parallel without the machine throttling.

The project collects several capabilities usually found in separate tools: agent swarms, durable and semantic memory, background and headless execution, automatic task continuation, MCP support, prompt caching, and routing to hosted model inference or local runtimes such as Ollama and LM Studio. It also includes a self-development mode, letting the agent work on its own codebase under supervision.

jcode publishes its own evaluation research rather than leaning on public leaderboards. Its bench suite (float-print, json-unescape, utf16-transcode) is designed to be uncontaminatable because there is no memorizable answer, hard to saturate because it scores optimization depth, and continuous instead of pass/fail. The harness also tracks agent confidence at task assignment versus completion, forcing re-checks when confidence spikes unrealistically. The project is backed by Y Combinator and distributed through a one-line install script for macOS, Linux and Windows, with a desktop app in beta.

**Pricing & Plans:** Freemium with paid options. Installation and the open-source agent are free; the site lists a dedicated pricing page and an enterprise plan for larger deployments. Consult the official pricing page for current figures.

- **Rust harness with low per-session overhead:** Each additional jcode session costs megabytes rather than hundreds of megabytes, and a new session is ready for input in well under a tenth of a second, so you can run many agents on hardware you already own.
- **Agent swarms and background tasks:** Launch multiple agents in parallel, hand off long jobs to background or headless execution, and keep durable task state so work survives interruption.
- **Benchmark-driven optimization:** The jcode bench suite (float-print, json-unescape, utf16-transcode) scores optimization depth on an analog axis with no capping timeouts, so capability differences stay visible.
- **Confidence-checked completion:** Agents rate confidence when a task item is assigned and again when it is finished; a sudden jump triggers forced re-verification instead of blind acceptance.
- **Flexible model routing:** Works with hosted model inference or local runtimes such as Ollama and LM Studio, plus MCP support and prompt caching for efficient long sessions.

**Strengths:** Open-source agent with a one-command install for macOS, Linux and Windows; Memory footprint per extra session is dramatically lower than typical terminal agents; Runs many parallel agents and durable background tasks from one terminal; Supports local model runtimes and MCP, so it is not locked to a single provider

**Limitations:** Terminal-first interface is not aimed at users who want a graphical editor; Its benchmark claims are self-published, so independent verification is limited; Extracting full value requires comfort with shells, model configuration and agent orchestration

[Profile (Markdown)](https://openaitools.app/tool/jcode-sh.md)

## Frequently Asked Questions

### How do Devin and jcode compare in monthly traffic?

Devin has 2,549,346 monthly visits, while jcode has 18,136. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; jcode has -22.7%.

### How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. jcode: Freemium, Contact for Pricing. Freemium with paid options. Installation and the open-source agent are free; the site lists a dedicated pricing page and an enterprise plan for larger deployments. Consult the official pricing page for current figures.

## 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 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows. | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | A cloud development platform featuring an AI agent that builds, runs, and deploys full-stack apps automatically. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform and IDE plugin that reads entire codebases to execute complex multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | An AWS spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies software engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/devin-vs-jcode-sh

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