# Devin vs QASolve.ai

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. QASolve.ai records 0 monthly visits with -100% growth and Paid pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [QASolve.ai](https://openaitools.app/tool/qasolve-ai) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.qasolve.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Testing, AI Agent, AI Copilot |
| Pricing Model | Paid | Paid |
| Monthly Visits | 2,549,346 | 0 |
| MoM Growth Rate | +1% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 1,386,401 | 0 |
| Review Score | 4.3 | 3.9 |
| 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)

## QASolve.ai

QASolve.ai attacks the part of QA automation that consistently breaks down: keeping tests alive as the product evolves. Instead of asking engineers to script flows from requirements, QASolve agents start from your live application URL and autonomously discover screens, user journeys, roles and APIs. That discovery feeds an executable knowledge graph, which in turn generates high-coverage regression suites and re-derives them when the application changes, so test maintenance stops being a manual engineering chore.

The company pairs that automation with a managed service layer. Every failed or flaky test is re-run with extra verbosity, then reviewed by a human Success Team before a genuine failure is written into the Issues Tracker — so your engineers only see issues that a person has already triaged. Each engagement includes Forward Deployed Engineer hours (test-result validation, weekly check-ins, sprint-planning attendance), and customers report going from tens of tests to hundreds within two weeks and hitting 80%+ automation coverage in one to two weeks rather than months.

Commercially, QASolve sells three usage-based plans — Standard for small applications, Premium for medium-size applications, and Enterprise for enterprise or ERP estates — differentiated by compute hours, included Forward Deployed Engineer hours, platform coverage and API access. It is aimed at teams whose development velocity has outrun their QA capacity, particularly SaaS products with frequent UI changes and CI/CD pipelines that need dependable regression gates.

**Pricing & Plans:** Paid, usage-based managed-service plans across three tiers: Standard (ideal for small applications, 50 compute hours, 20 Forward Deployed Engineer hours, Chrome on Linux), Premium or 'Recommended' (medium-size applications, 100 compute hours, 50 FDE hours, all four platform configurations, API access included), and Enterprise (enterprise/ERP applications, unlimited compute, 1 FTE Forward Deployed Engineer included, all platforms, API access, premium support). All plans include unlimited tests, users and runs within the allotted hours; extra compute hours are billed at $15/hour and extra FDE hours at $25/hour. A 30-day money-back guarantee is advertised. Exact plan prices are quoted on demo.

- **Autonomous UI and journey discovery:** Starting only from your application URL, agents map screens, flows and user roles without needing source code, specs or manual scripting, so onboarding does not depend on your engineering team's availability.
- **Executable knowledge graph:** Discovered behaviours are captured in a model of your application's actions, APIs and information structure, letting tests adapt automatically instead of breaking on every UI change.
- **Continuous execution and self-healing:** Suites run on each change and revise themselves as the app evolves, keeping regression coverage trustworthy rather than decaying over time.
- **Human-in-the-loop triage:** Failed and flaky tests are re-run with verbosity enabled, then manually verified by a Success Team, so only validated failures reach your Issues Tracker with reproduction steps.
- **Managed Forward Deployed Engineer:** Plans include engineer hours for result validation, weekly check-ins and sprint-planning attendance, blending product automation with an outsourced QA service.

**Strengths:** No source code or requirement documents needed — testing starts from the running application URL; Self-healing tests directly address the high broken-test rate that undermines traditional automation; Human-verified failures with reproduction steps prevent noisy false positives reaching engineers; Unlimited tests, users and runs within plan hours, plus API access on higher tiers

**Limitations:** No transparent public price list; plans are quoted through a demo, which slows comparison shopping; Managed-service model with included engineer hours can mean more hand-holding than a pure self-serve tool for teams that want to run QA entirely in-house; Overages are metered ($15 per extra compute hour, $25 per extra FDE hour), so heavy parallel execution can exceed plan budgets

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

## Frequently Asked Questions

### How do Devin and QASolve.ai compare in monthly traffic?

Devin has 2,549,346 monthly visits, while QASolve.ai has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; QASolve.ai has -100%.

### 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. QASolve.ai: Paid. Paid, usage-based managed-service plans across three tiers: Standard (ideal for small applications, 50 compute hours, 20 Forward Deployed Engineer hours, Chrome on Linux), Premium or 'Recommended' (medium-size applications, 100 compute hours, 50 FDE hours, all four platform configurations, API access included), and Enterprise (enterprise/ERP applications, unlimited compute, 1 FTE Forward Deployed Engineer included, all platforms, API access, premium support). All plans include unlimited tests, users and runs within the allotted hours; extra compute hours are billed at $15/hour and extra FDE hours at $25/hour. A 30-day money-back guarantee is advertised. Exact plan prices are quoted on demo.

## 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 | [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 | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |

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

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