Devin
Your team's autonomous AI software engineer that plans, codes, tests and opens pull requests.
By Cognition AI, Inc. · HQ San Francisco, United States · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Engineering teams with backlogs of bug fixes, tickets and migrations they want delegated to autonomous cloud agents
- Platform and infrastructure teams automating dependency upgrades, framework migrations and tech-debt paydown
- Security teams that need vulnerability discovery with runtime exploit validation and ready-to-review remediation PRs
- Enterprises needing SAML/OIDC SSO, RBAC/SCIM, audit logs and dedicated or VPC deployment options
- Companies already running Slack, Microsoft Teams, Linear or Jira workflows that want work to start from those tools
Ideal size: 20-2,000+ engineers people · Scale-up or enterprise with CI, code review and issue-tracking workflows
Not for
- Teams with no software engineering function or no repositories to connect
- Organizations that cannot allow source code to be processed by a third-party AI service
- Buyers looking only for in-IDE autocomplete rather than delegated end-to-end tasks
- Teams expecting a flat per-seat price with no usage-quota management or API-priced overage
Value metrics scorecard
Time-to-Value
First PRs in days; ~2 weeks to steady value
~14 days to first production value
Total Cost of Ownership
$12,000/yr
Starts at $240 · Per-seat subscription with usage quota: Free $0, Pro $20/mo, Max $200/mo, Teams $80/mo + $40/mo per full developer seat, Enterprise custom.
Implementation Friction
2/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Individual (1 user); Teams up to 200 users at $40/month per full developer seat; Enterprise unlimited
Add-on costs
- Extra usage beyond the included allowance, purchased and consumed at API pricing
- Enterprise dedicated deployment and private networking options quoted by sales
Company & support
Who is behind Devin, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- San Francisco, United States
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatPlan not stated
- Support portal / ticketsPlan not stated
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Docs and [email protected] are open to users; Teams plans add a priority Slack Connect support channel; Enterprise adds dedicated account and engineering support plus an optional onboarding call.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Devin sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Devin
- BrowserStack
- Hex
- Lattice
- SeekOut
- FloQast
Add or change companies
Up to 10 companies including Devin. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.
AI & MCP readiness
What Devin ships in AI, and what it asks of your ecosystem.
AI features shipped
Devin is an autonomous agent: it plans, edits files, runs commands, tests in its own browser and VM, and opens pull requests. Sources describe multi-agent swarms for security scanning (Security Swarm) and per-session routing across frontier and open-source models.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- OpenAI, Anthropic, Google, Open-weight models
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Official MCP server
- Model key
- Not recorded
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Devin, from Cognition AI, is an autonomous AI software engineer. It runs in the cloud or on your machine, writes and tests code in its own VM and browser, and opens pull requests for review. Work starts from Slack, Microsoft Teams, Linear, Jira or the Devin app, and parallel agents take on migrations, dependency upgrades and tech debt. Devin Review and Security Swarm add code review and validated vulnerability fixes. Pricing runs from a free tier to $20/month Pro, $80/month Teams plus $40 per developer seat, and custom enterprise terms.
Frequently asked questions
What exactly does Devin do, and how is it different from an AI coding assistant?
Devin is an autonomous AI software engineer from Cognition. It takes a task such as a Linear or Jira ticket, bug report or migration, explores your repositories, writes and tests code in its own cloud VM and browser, and opens a pull request for human review. Assistants suggest code inline; Devin is designed to complete and verify end-to-end work, and you can reach it from Slack, Microsoft Teams, Linear, Jira, the Devin app, the CLI or the API.
How is Devin priced?
There is a free tier with a light quota. Pro is $20 per month, Max $200 per month for significantly higher quotas, and Teams is $80 per month plus $40 per month per full developer seat, capped at 200 users on the self-serve team plan. Enterprise is custom and adds SAML/OIDC SSO, centralised admin controls and a dedicated deployment option. Paid plans include usage quotas; extra usage is purchased and consumed at API pricing.
How fast can a team get value from Devin?
Most customers start self-serve: connect a Git provider and Slack or Teams, then delegate tickets, bug fixes or test coverage. Cognition's customer stories describe outcomes such as a COBOL migration cut from eight months to eight days at GE Aerospace, 92% of merged PRs written by Devin at EBANX, and 30-40% efficiency gains at WPP. Expect the first useful pull requests within days; large migrations and security programs take weeks.
How does Devin handle our code and data?
Cognition states that inputs and outputs are always your IP, every session runs in its own VM, zero data retention is enforced with model providers, and comprehensive audit logs, RBAC/SSO/SCIM/OIDC and private networking are available. Enterprise buyers can opt for a dedicated deployment. Organisations with strict data-residency or model-training restrictions should confirm current terms with Cognition's sales and security teams before rollout.
What does Devin integrate with?
Devin works with Slack and Microsoft Teams, where you can tag it in a thread, and with Linear, Jira, GitHub, GitLab, Bitbucket, PagerDuty and other alerting or issue sources as triggers. It also ships an MCP server alongside MCP client settings, an API, a CLI and a desktop app, so engineers can start or take over work from the tools they already use.
Does Devin replace our engineers?
No. Cognition positions Devin as a teammate: it handles well-scoped, verifiable work such as bug triage, first-draft features, migrations, dependency upgrades, tests and documentation, and opens pull requests that humans review and merge. Documentation advises clear prompts with explicit completion criteria and splitting hard tasks into scoped steps. Security Swarm surfaces findings but leaves it to you which ones Devin remediates.