Cognition AI
Revolutionize software development with AI-driven coding automation.. [Contact for Pricing]
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What is Cognition AI?
Cognition AI operates Devin, the first fully autonomous AI software engineer. Devin plans, writes, tests, and ships production code on its own, working inside your codebase and the tools your team already uses. The company is an applied AI lab focused on reasoning, building AI teammates with capabilities far beyond today's existing AI tools. Cognition helps engineers operate more like architects: strategizing, designing systems, and focusing on problem solving, while agents handle the repetitive engineering work.
Devin's key capabilities include long-term reasoning and planning for complex engineering tasks requiring thousands of decisions, recalling relevant context at every step, learning over time, and fixing mistakes. It comes equipped with common developer tools including the shell, code editor, and browser within a sandboxed compute environment. Devin actively collaborates with users, reporting progress in real time, accepting feedback, and working together through design choices. It can learn unfamiliar technologies, build and deploy apps end-to-end, autonomously find and fix bugs, train and fine-tune AI models, address GitHub issues, and contribute to mature production repositories.
Devin is designed for engineering teams, individual developers, and organizations aiming to scale software engineering with AI assistance. It works best for small frontend bugs and edge cases, creating first-draft PRs for backlog tasks, and making targeted code refactors. Devin is deployed at some of the largest and most complex institutions in the world, including Nubank which achieved 8x engineering time efficiency gains and over 20x cost savings on code migration tasks.
The platform includes additional tools like DeepWiki for AI-powered code symbol explanations and Windsurf code editor integration. Devin integrates seamlessly with Slack, Linear, Jira, GitHub, GitLab, and Bitbucket, and offers API access for programmatic session control.
Cognition AI pricing
Pricing model: Freemium
Free tier: Limited Devin usage, Devin Review, and DeepWiki included. Pro plan: $20/month includes Devin usage quota, Windsurf IDE usage quota, pay-as-you-go for usage past quota, Slack/Linear/MCP integrations, and ability to use Devin to plan/code/test/ship. Max plan: $200/month includes everything in Pro plus increased Devin usage quota and increased Windsurf IDE usage quota. Teams plan: $80/month per member includes everything in Pro plus unlimited team members, share and collaborate, centralized billing, and admin dashboard with analytics (up to 10 concurrent sessions). Enterprise plan: Custom pricing includes everything in Teams plus SAML/OIDC SSO, centralized enterprise admin controls, dedicated account team, custom terms, VPC deployment, teamspace isolation, and unlimited concurrent sessions. All plans support pay-as-you-go beyond quota.
Cognition AI pros
- First fully autonomous AI software engineer in the world
- Plans, writes, tests, and ships production code independently
- Long-term reasoning and planning for complex engineering tasks
- Works inside your existing codebase and team tools
- Real-time progress reporting and active user collaboration
- Can learn unfamiliar technologies from documentation
- Builds and deploys apps end-to-end to platforms like Netlify
- Autonomously finds and fixes bugs in codebases
- Can train and fine-tune its own AI models from GitHub repos
- Resolves real-world GitHub issues in open source projects
- Achieved 13.86% on SWE-bench vs previous 1.96% state-of-the-art
- 8x engineering time efficiency gains demonstrated at Nubank
- Over 20x cost savings on large-scale code migrations
- Includes DeepWiki for AI-powered code explanations
- Integrates with Slack, Linear, Jira, GitHub, GitLab, Bitbucket
- Devin Review tool helps understand complex pull requests
- Desktop support enabled for testing desktop applications
- Sessions start 3x faster than previous versions
- Self-verification and auto-fix capabilities in Devin 2.2
- No seat limits on team plans
Cognition AI cons
- High price point at $500/month for team plan
- Small free tier with limited Devin usage only
- $20_pay-as-you-go-plan gives only ~2.25 hours of active work
- ACU costs higher on entry plan ($2.25 vs $2 on team plan)
- Still struggles with merge conflicts requiring manual resolution
- May need multiple iterations to get fixes right
- Requires well-scoped tasks and detailed requirements upfront
- Sessions work best under ~3 hours, large tasks need breaking down
- Not yet capable of replacing human developers on complex tasks
- Early access capacity limitations during ramp-up
Frequently asked questions about Cognition AI
What is Devin AI?
Devin is the world's first fully autonomous AI software engineer. It plans, writes, tests, and ships production code on its own, working inside your codebase and the tools your team already uses. With advances in long-term reasoning and planning, Devin can execute complex engineering tasks requiring thousands of decisions, recall relevant context at every step, learn over time, and fix mistakes.
How much does Devin cost?
Devin offers a Free tier with limited usage, Pro at $20/month, Max at $200/month, Teams at $80/month per member, and Enterprise with custom pricing. The team plan started at $500/month at general availability. All paid plans include pay-as-you-go for usage beyond your included quota, with ACU costs varying by plan ($2.25 on the $20 plan, $2 on the $500 plan).
Do I get charged more for using the Devin API?
If you're on a Teams or Enterprise plan and have access to the Devin API, you'll only consume usage based on the sessions you start programmatically via the API. There are no additional costs for using the API beyond the normal session usage consumption.
Who owns the code generated by Devin?
You do! Regardless of the plan, all inputs and outputs from Devin are considered your intellectual property. For more detailed information, you should review the Terms of Service for each specific plan.
What tasks is Devin best at?
Devin works best for small frontend bugs and edge cases, creating first-draft PRs for backlog tasks, and making targeted code refactors. It excels at building integrations, migrating and maintaining documentation, version upgrades, incident response, and testing. Give Devin tasks you know how to do yourself, tell it how to test its work, and keep sessions under ~3 hours.
What integrations does Devin support?
Devin integrates with Slack and Teams for primary session management, Linear and Jira for project management, and GitHub, GitLab, and Bitbucket for version control. The Slack integration lets you tag @devin to offload tasks, the IDE extension (for VSCode and forks) allows handoff with ⌘G, and Devin responds automatically to GitHub PR comments. Enterprise plans also support custom git provider support.
What is DeepWiki?
DeepWiki is an AI-powered feature that provides explanations of code symbols. When you hover over functions, variables, and classes in your codebase, DeepWiki explains them in detail, unlike classical hover cards that just show basic type information. It's available in the Free tier and integrated into the Windsurf Editor, where you can press Cmd+Shift+Click to open detailed explanations and send them to Cascade via @-mention.
How does Devin usage billing work?
Usage accrues based on the work Devin actually performs in a session, including the number and complexity of actions (planning, context gathering, task execution, browser actions, code execution), plus virtual machine time and networking bandwidth. Devin does not consume usage while sleeping, and typically sleeps automatically after roughly 0.1 ACUs of inactivity. You can see per-session usage from Session Insights and account usage at Settings > Plans.
Can Devin work with my existing codebase?
Yes, Devin works inside your codebase and the tools your team already uses. Once you connect your GitHub, GitLab, or other source code provider, your repository is automatically indexed so Devin can understand and reason about your code. Ask Devin can answer technical questions about your code with detailed, accurately cited answers powered by advanced code search.
How does Devin's performance compare to other AI coding tools?
On SWE-bench, a challenging benchmark asking agents to resolve real-world GitHub issues, Devin correctly resolves 13.86% of issues end-to-end, far exceeding the previous state-of-the-art of 1.96%. Even when given the exact files to edit, the best previous models can only resolve 4.80% of issues. Devin was unassisted in this evaluation, while all other models were assisted (told exactly which files to edit).