# Binarly vs Devin

Binarly records 5,805 monthly visits with -23.7% month-over-month growth and Contact for Pricing pricing. Devin records 2,549,346 monthly visits with +1% growth and Paid pricing.

| Metric | [Binarly](https://openaitools.app/tool/binarly-io) | [Devin](https://openaitools.app/tool/devin) |
| :--- | :--- | :--- |
| Website URL | https://binarly.io | https://devin.ai |
| Categories | AI Detector, AI Code Review, AI Developer Tools | AI Code Assistant, AI Agent, AI Developer Tools |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 5,805 | 2,549,346 |
| MoM Growth Rate | -23.7% | +1% |
| Primary Market | United States | United States |
| Direct Visits | 2,279 | 1,386,401 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | website |

## Binarly

Binarly addresses a gap that source-level tooling often misses: what is actually inside the binaries and firmware an organisation releases. Code scanning assumes you have the source and that builds match it, but firmware is frequently assembled from prebuilt blobs, vendor SDKs and third-party components where the upstream claim and the shipped artifact diverge. Binarly analyses the compiled output itself, which allows teams to confirm whether a reported CVE is truly reachable in their build, to spot unauthorised modifications and embedded credentials, and to prioritise fixes based on exploitability rather than raw severity scores.

The platform is positioned around the full release lifecycle. Engineering teams can inspect built binaries, validate software and cryptography bills of materials (SBOM and CBOM), enforce policies as CI/CD release gates, and feed findings back into vulnerability management. Because many of the same binaries recur across devices and product lines, the analysis also supports long-lived fleet visibility, helping teams understand which of their shipped products inherit a newly disclosed firmware flaw.

Binarly targets product security and engineering organisations in regulated and hardware-adjacent markets, where a supply-chain compromise or an unpatched firmware issue carries contractual and regulatory weight. An emphasis on post-quantum cryptography readiness reflects the growing pressure to inventory and migrate cryptographic primitives in long-lifespan embedded systems. Commercial terms are handled through a sales conversation rather than published self-service plans.

**Pricing & Plans:** Enterprise, contact-for-pricing. There is no published self-service plan; interested buyers typically request a demo or talk to sales to scope a deployment.

- **Binary and firmware inspection:** Analyses the compiled artifacts and firmware images that actually ship, rather than relying on source manifests or vendor claims.
- **Supply chain and tampering detection:** Identifies unexpected components, unauthorised modifications, embedded secrets and signs of build tampering across products.
- **SBOM and CBOM validation:** Verifies that declared software and cryptography bills of materials match the real contents of the shipped binary.
- **Exploitability-based prioritisation:** Ranks issues using reachability and live exploitation signals so teams can triage effectively instead of chasing raw severity scores.
- **CI/CD release gates:** Enforces security policy at build and release time, blocking artifacts that fail the agreed checks before they reach customers.

**Strengths:** Grounded in shipped artifacts, so findings reflect what customers actually run; Covers firmware, where many source-based scanners have limited reach; Exploitability signals reduce alert fatigue compared with raw CVE counts; Contributions to firmware vulnerability research are widely respected in the field

**Limitations:** Enterprise engagement required, with no transparent or self-serve public pricing; Binary analysis can be heavy to integrate for teams without existing security engineering capacity; Value scales with fleet size and product complexity, so small portfolios may see less benefit

[Profile (Markdown)](https://openaitools.app/tool/binarly-io.md)

## 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)

## Frequently Asked Questions

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

Binarly has 5,805 monthly visits, while Devin has 2,549,346. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Binarly has a month-over-month growth rate of -23.7%; Devin has +1%.

### How does pricing compare?

Binarly: Contact for Pricing. Enterprise, contact-for-pricing. There is no published self-service plan; interested buyers typically request a demo or talk to sales to scope a deployment. 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.

## 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 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.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/binarly-io-vs-devin

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