Head-to-Head Comparison

Devin vs Tabnine

Which Code Assistant is right for you? See our complete breakdown.

Devin

8/10 Our Pick Visit Devin
VS

Tabnine

6/10 Visit Tabnine
FeatureDevinTabnine
MegaOne Score8/106/10
CategoryCode AssistantCode Assistant
Pricing ModelFreemiumPaid Only
Starting Price$20.00/mo$39.00/mo
Free TierYesNo
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyCognition AI Inc.Tabnine
Total Funding$2.1B$102M

Visual Comparison

Score Reach Value Team Funding Reviews
Devin Tabnine

About Devin

Devin is an autonomous AI software engineer that plans, executes, debugs, and deploys complex software engineering tasks.

Devin is an autonomous AI software engineer developed by Cognition AI, designed to act as a collaborative AI teammate for engineering teams. It can plan, code, debug, test, and deploy complex software projects end-to-end, operating within a secure sandboxed environment with a terminal, code editor, and browser. Key capabilities include dynamic re-planning, self-healing code, legacy code migration, collaborative pull requests, and multi-modal context processing.

About Tabnine

Tabnine is a privacy-first AI coding assistant that accelerates software development with context-aware code completions, chat, and autonomous agents, offering flexible deployment options for enterprise control.

Tabnine is an AI code assistant designed for enterprises, prioritizing privacy, security, and compliance across the software development lifecycle. It provides context-aware code completions, an integrated AI chat (Tabnine Chat v4.0), and autonomous agents capable of understanding entire repositories and adhering to corporate standards. The platform offers flexible deployment options including SaaS, Virtual Private Cloud (VPC), on-premises, and fully air-gapped environments, ensuring zero code retention and intellectual property protection.

Devin takes the edge

With a MegaOne score of 8/10 versus 6/10, Devin edges ahead of Tabnine in our analysis. However, Tabnine may still be the better choice depending on your specific use case and budget.