Devin
by Cognition
The autonomous AI software engineer that plans, writes, tests, and ships production code inside your codebase
Devin is Cognition's autonomous AI software engineer: an agent that plans, writes, tests, and ships production code on its own, working inside your existing codebase and developer tools. It is aimed at engineering organizations that want end-to-end task delegation rather than line-by-line code completion.
At a Glance
- Category
- Developer Tools
- Pricing
- Freemium, Subscription, Usage-based
- Target Market
- CTOs, VPs of Engineering, Enterprise Developers, Platform Engineering Leaders
Key Features
- ✓Autonomous end-to-end task execution
Devin plans, writes, tests, and ships production code independently rather than suggesting inline completions.
- ✓Works inside your codebase and tools
The agent operates in the existing repository and the developer tooling the team already uses.
- ✓SWE-1.7 model
Cognition's in-house coding model, positioned as frontier intelligence at a fraction of frontier cost.
- ✓Devin Fusion and Devin Desktop
Interfaces for driving and supervising agent work, alongside the Windsurf IDE Cognition acquired in 2025.
- ✓Enterprise controls
SAML/OIDC SSO, centralized admin controls, admin analytics dashboard, and a dedicated deployment option on the Enterprise plan.
Capabilities
Use Cases
- •Legacy system modernization
Enterprises hand Devin long-running modernization and migration work that would otherwise consume engineering quarters.
- •Backlog and maintenance burn-down
Teams delegate bug fixes, test coverage, and routine refactors so engineers focus on architecture and design.
- •Parallelized feature work
Engineering leaders run fleets of cloud agents on independent tasks and review the resulting pull requests.
Ideal For
Best For
- ✓Delegating end-to-end engineering tasks (migrations, refactors, bug fixes) to an autonomous agent
- ✓Modernizing legacy systems and clearing backlog work at enterprise scale
- ✓Engineering orgs standardizing on an agentic SDLC with SSO, admin controls, and dedicated deployment
Market Analysis
Pros
- ✓Reported ~$492M annualized revenue run-rate and ~50% month-over-month enterprise growth as of May 2026
- ✓Transparent, self-serve pricing from a free tier up to enterprise
- ✓Named production deployments at Fortune 500 and major financial institutions
Cons
- ✗Autonomous agents still require human review of shipped code
- ✗Usage overages billed at variable API rates can make costs harder to forecast
Pricing
Free
$0
- ✓Light quota to code with agents
- ✓Limited model availability
- ✓Unlimited inline edits
- ✓Unlimited tab completions
Pro
From $20/mo
- ✓Increased quotas
- ✓Access to OpenAI, Claude, and Gemini frontier models
- ✓Free SWE 1.6 and open-source models
- ✓Cloud agents
- ✓API pricing for extra usage
Max
From $200/mo
- ✓Everything in Pro
- ✓Significantly higher quotas
Teams
From $80/mo
- ✓$80/mo base plus $40/mo per full developer seat
- ✓Unlimited team members
- ✓Sharing and collaboration
- ✓Centralized billing
- ✓Admin dashboard with analytics
- ✓Priority support
Enterprise
Contact for pricing
- ✓Everything in Teams
- ✓SAML/OIDC SSO
- ✓Centralized enterprise admin controls
- ✓Dedicated deployment option
- ✓Dedicated account management
Plan quotas refresh automatically on a daily and weekly basis; overage usage is billed at API pricing rates that vary by model, task complexity, and reasoning requirements.
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