# Devin vs LangWatch

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. LangWatch records 52,098 monthly visits with +73% growth and Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [LangWatch](https://openaitools.app/tool/langwatch) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.langwatch.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | Large Language Models (LLMs), AI Monitor, AI Agent, AI Testing |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,549,346 | 52,098 |
| MoM Growth Rate | +1% | +73% |
| Primary Market | United States | United States |
| Direct Visits | 1,386,401 | 28,986 |
| Review Score | 4.3 | 4.6 |
| 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)

## LangWatch

LangWatch started as an open-source LLM observability tool and has grown into an end-to-end platform for AI platform teams. The tracing layer is OpenTelemetry-native, so agents built with LangChain, LangGraph, CrewAI, Mastra, Pydantic AI or the Vercel AI SDK send spans without a rewrite. Traces carry tokens, cost and cache data, can be explored as waterfalls, flame graphs, topology or sequence diagrams, and are searchable through saved views, plain-language search and automatic topic clustering.

On top of tracing, LangWatch layers evaluation and testing. Teams can score a single output or a whole conversation with an LLM judge, custom code or a full workflow; run evals from a notebook or the shared UI; and evaluate live production traffic. Agentic testing simulates realistic text and voice users that push the agent turn by turn, while red-teaming runs adversarial simulations to surface jailbreaks, policy breaks and unsafe tool calls before users do.

More recent additions target day-to-day operations: an AI Gateway routes every provider call (OpenAI, Anthropic, Google, Bedrock, Mistral) through one endpoint with per-person, per-team and per-customer budgets and minimal overhead; coding agents such as Claude Code and Codex can be brought onto the same observability standard with a single command; and Langy turns a product manager's plain-language goal into a scenario test plan and then into pull requests. LangWatch offers cloud, self-hosted and hybrid deployments and states ISO 27001 certification, GDPR compliance and EU data residency options.

**Pricing & Plans:** LangWatch publishes a dedicated pricing page alongside a book-a-demo path, with plans that scale from individual and team use to enterprise. Self-hosting is available as an option, and the project has open-source roots, but specific tier prices, seat limits and credit allowances should be confirmed on the vendor's current pricing page.

- **OpenTelemetry-native tracing:** Full GenAI spec support means traces from LangChain, LangGraph, CrewAI, Mastra, Pydantic AI, the Vercel AI SDK and any OTel-compatible stack land in the same view, with tokens, cost and cache accounted per span.
- **Offline and online evaluations:** Score single outputs or entire conversations with an LLM judge, custom code or a workflow, run evals from a notebook or UI, and evaluate live production traffic in real time.
- **Agentic testing and simulations:** Simulated text and voice users push agents turn after turn in realistic scenarios, runnable locally and in CI, with tools, skills and MCP servers traced and mockable.
- **AI Gateway and budgets:** Route OpenAI, Anthropic, Google, Bedrock, Mistral and other providers through one endpoint using your own keys, with budgets per person, team and customer and around 11 microseconds of overhead.
- **Red-teaming and prompt management:** Adversarial simulations probe for jailbreaks and unsafe tool calls, while prompts are versioned, deployed and A/B tested as code with full history and GitHub sync.

**Strengths:** OpenTelemetry-native with broad framework support, so adoption usually requires no rewrite; Combines tracing, evals, agentic testing, gateway and red-teaming rather than covering only one layer; Self-hosted, hybrid and cloud deployment options plus ISO 27001 and GDPR statements for security reviews; Open-source roots and an active community make the tracing layer approachable for individual developers

**Limitations:** The expanding surface area (gateway, Langy, coding-agent tracking) means more to configure and learn; Enterprise-grade governance features require a sales conversation rather than self-serve signup; Value depends on instrumenting your stack; teams without tracing in place will need setup work

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while LangWatch has 52,098. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; LangWatch has +73%.

### 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. LangWatch: Contact for Pricing. LangWatch publishes a dedicated pricing page alongside a book-a-demo path, with plans that scale from individual and team use to enterprise. Self-hosting is available as an option, and the project has open-source roots, but specific tier prices, seat limits and credit allowances should be confirmed on the vendor's current pricing page.

## 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 | An AI-native code editor providing advanced multi-file code generation and editing, though less fully autonomous end-to-end than Devin. | [.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 agentic development platform running parallel AI coding agents across an IDE and CLI workspace. | [.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 | [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) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | An enterprise AI software development platform featuring a context engine and multi-agent software development lifecycle orchestration. | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/devin-vs-langwatch

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