# Devin vs Potpie AI

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Potpie AI records 5,821 monthly visits with +12% growth and Freemium, Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Potpie AI](https://openaitools.app/tool/potpie-ai) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://potpie.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Agent, AI Code Assistant, AI Workflow, AI Developer Tools |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 2,549,346 | 5,821 |
| MoM Growth Rate | +1% | +12% |
| Primary Market | United States | Global |
| Direct Visits | 1,386,401 | 4,112 |
| Review Score | 4.3 | 4.4 |
| 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)

## Potpie AI

Potpie AI targets a problem most coding assistants ignore: an AI agent is only as useful as the context it can see. Instead of treating a repository as a pile of files, Potpie connects your codebase, tickets, documentation, service dependencies and past architectural decisions into a single graph, which it calls a living context graph. That graph is refreshed as commits and tickets land, so agents reason over the current state of your system rather than a stale snapshot.

On top of the context layer sit an agent orchestration layer and a harness layer. An orchestrator plans and delegates work to specialized agents — debugging, impact analysis, code generation, QA and testing — while the harness manages task routing, context selection, sandboxed tool execution, memory and validation. Model choice is interchangeable, so teams can use Claude, OpenAI/GPT, Gemini, xAI or their own weights.

The platform is built for enterprise constraints. Everything runs inside the customer's own VPC and on approved APIs, read-only by default, and forward-deployed engineers help connect a first team before rolling workflows out across the organization. Potpie is open source with a sizable GitHub community and publishes benchmarks against SWE-bench Verified.

**Pricing & Plans:** Potpie uses a freemium, open-source model for individual developers and a contact-for-pricing enterprise tier. Because agents run inside your own VPC with forward-deployed engineering support, enterprise pricing is quoted per organization — book a demo via the website.

- **Living context graph:** Connects codebase, services, APIs, dependencies, tickets and documentation into one graph that stays current as your repository and issues change.
- **Specialized agent fleet:** Debugging, impact analysis, code generation and QA/testing agents, coordinated by an orchestrator that plans, delegates and monitors execution.
- **Runs inside your VPC:** Deploys on your own infrastructure over approved APIs, read-only by default, so source code and context never leave your environment.
- **Interchangeable models:** Bring Claude, OpenAI/GPT, Gemini, xAI or your own weights — the harness abstracts the model layer so you are not locked into one provider.
- **Open source core:** Self-host and contribute; the project has an active GitHub community and benchmark work published against SWE-bench Verified.

**Strengths:** Genuinely context-first: agents reason over your code, tickets and docs rather than a single file; Runs inside your own VPC over approved APIs, which removes the usual data-egress objection; Model-agnostic layer means existing Claude or GPT subscriptions and future models stay usable; Open source with a sizable community, so the core is inspectable and self-hostable

**Limitations:** Enterprise motion means pricing is opaque; there is no published tier list; Value depends on connecting many systems — a small team with a single repo may not see much lift; Forward-deployed engineering engagement implies a longer, higher-touch adoption cycle

[Profile (Markdown)](https://openaitools.app/tool/potpie-ai.md)

## Frequently Asked Questions

### How do Devin and Potpie AI compare in monthly traffic?

Devin has 2,549,346 monthly visits, while Potpie AI has 5,821. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Potpie AI has +12%.

### 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. Potpie AI: Freemium, Contact for Pricing. Potpie uses a freemium, open-source model for individual developers and a contact-for-pricing enterprise tier. Because agents run inside your own VPC with forward-deployed engineering support, enterprise pricing is quoted per organization — book a demo via the website.

## 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 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/devin-vs-potpie-ai

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