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What it is and who it is forIn one sentence: Cognition’s AI software engineering product for planning, implementation, testing, and reviewable delivery. Who it suits: Developers and teams able to delegate scoped work and review code and tests. What you can do:
Where to start: Open the web app from Devin or choose the desktop download. Connect code hosting and add the repository for cloud work. Cost: Free access and paid tiers are offered; the official Pro monthly price is $20 as of 2026-10-25. |
Access and setup: your first sessionOpen the web app from Devin or choose the desktop download. Connect code hosting and add the repository for cloud work. Use Ask to plan, then Agent to execute. Check repository, base branch, and selected agent. First session |
A concrete task and how to check itChoose a small fix with tests rather than a whole-system request. Example:
Review execution and diffs; rerun critical tests and inspect browser behavior where relevant. |
Costs: software, models, and executionThe current individual tiers are Free, Pro ($20/month), and Max ($200/month), with separate team and enterprise offers. Checked 2026-10-25. Pricing Usage depends on task size, model, and reasoning; additional usage may be purchased. Older ACU articles do not necessarily describe every current surface. |
Configuration and extensionsSelect repository and agent per session; knowledge, playbooks, and skills carry project conventions. Supply startup commands, tests, and acceptance criteria. Desktop, local, and cloud environments differ. Local credentials, dependencies, or services are not automatically available remotely. |
Permissions, data, and limitationsRepository access, network availability, and test setup constrain results. Missing dependencies, inaccessible services, and ambiguous requirements cause retries. Require evidence for reported checks. Treat editing, merging, and deployment as separate decisions. Review the data policy for cloud code processing. |
Frequently asked questionsHow is it different from completion? It works on an end-to-end task rather than only suggesting a snippet. Should I make tasks larger? Smaller, verifiable scopes expose failures more clearly. Does closing a browser stop work? Check whether the session executes locally or in the cloud. |
Official references |
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Devin: Detailed Introduction
Cognition’s AI software engineering product for planning, implementation, testing, and reviewable delivery.
Official account & key contributors on X
Table of Contents
Getting started
Usage and configuration
Limits and references
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