Compare Devin Desktop vs. Favur in 2026

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Description

Devin Desktop is an AI-native software development platform that serves as a central command center for managing coding agents, development workflows, and code execution. The platform combines a professional-grade IDE with agent orchestration capabilities, enabling developers to plan tasks, delegate work, review outputs, and collaborate with AI agents from a single interface. Developers can run local and cloud-based agents simultaneously, allowing multiple coding tasks to progress in parallel while maintaining shared context across projects. The platform includes features such as Spaces for shared worktrees, Fast Context for rapid codebase understanding, Supercomplete for predictive coding assistance, and comprehensive code review capabilities. Devin Desktop supports the Agent Client Protocol (ACP), enabling interoperability with different AI models and agent frameworks. The platform integrates with popular developer tools, including GitHub, Slack, Notion, Linear, Stripe, Datadog, Atlassian, and various language servers. Developers can inspect every change made by agents through built-in debugging, tracing, and review tools to ensure code quality and reliability. The platform is designed to streamline both individual and team-based software development workflows while reducing context switching. Devin Desktop enables engineering teams to increase development velocity by combining human oversight with autonomous AI execution.

Description

Favur is an innovative software development system that autonomously transforms a written statement of work into a fully functional and tested code repository without requiring human intervention. A collaborative team of agents independently plans, constructs, evaluates, tests, and deploys the project, while also assessing their performance, identifying errors, and correcting their course as needed. Each execution adheres to a consistent lifecycle, following the same architecture, sprints, reviews, and testing protocols, regardless of whether the task is minor or a major undertaking. Initially, it comprehends the requirements, establishes an architectural framework, and logs its decisions prior to writing any code. Subsequently, it divides the task into manageable sprints and drafts pseudocode before the actual coding begins. One agent is responsible for the coding process, another reviews the code changes against the initial plan, and a third tester verifies the outcome. Furthermore, agents can operate on various models within the same project, enabling teams to utilize different models for generating boilerplate code, making critical judgments, overseeing processes, and fulfilling other necessary roles. This level of autonomy and flexibility enhances efficiency and productivity in software development.

API Access

Has API No

API Access

Has API No

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Integrations

CSS Yes

Claude Fable 5.5 Yes

Claude Mythos 5.1 Yes

Claude Sonnet 3.5 Yes

Claude Sonnet 5.5 Yes

GPT-4.1 mini Yes

GPT-4.1 nano Yes

GPT-5.3-Codex Yes

GPT-5.6 Sol Yes

Gemini 3.8 Flash Cyber Yes

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Integrations

CSS No

Claude Fable 5.5 No

Claude Mythos 5.1 No

Claude Sonnet 3.5 No

Claude Sonnet 5.5 No

GPT-4.1 mini No

GPT-4.1 nano No

GPT-5.3-Codex No

GPT-5.6 Sol No

Gemini 3.8 Flash Cyber No

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Pricing Details

Free

Individual Plans:

Free Plan: $0
Pro: $15/month
Pro Ultimate: $60/month

For Organizations:

Teams: $35/user/month
Teams Ultimate: $90/user/month
Enterprise: Contact us

Free Trial Yes

Free Version Yes