Devin Review, Pricing & Alternatives (2026)

Devin is a hosted AI software engineer created by Cognition and introduced in March 2024. Cognition described it as a teammate able to work independently or alongside engineers, using long term reasoning and planning to complete complex engineering tasks. Its workspace included a shell, code editor, browser, and sandboxed compute environment, while Devin could recall context, learn over time, fix mistakes, report progress, and accept feedback. Cognition evaluated Devin on a random 25 percent subset of SWE bench, where it resolved 13.86 percent of issues end to end, compared with the previous state of the art at 1.96 percent. The company also reported $21 million in Series A funding led by Founders Fund. Devin remains positioned as an AI teammate for software work.

A typical workflow starts with a prompt, repository connection, or issue assignment. Devin can gather context, map a codebase, create a plan, edit files, execute shell commands, use a browser, and test changes in its own environment. It can build applications, reproduce bugs, address feature requests, and prepare a pull request for review. Users can follow progress, provide feedback, continue work in Devin Cloud, or iterate through Desktop and CLI. The documentation recommends bounded tasks, while the product supports issue triage, failed CI fixes, alerts, scheduled workflows, and trigger based automations. Integrations include Slack, Teams, Linear, Jira, GitHub, GitLab, Bitbucket, and MCP. Devin Review can identify bugs and vulnerabilities, while DeepWiki maps codebases and systems architecture.

Devin is a hosted agent built around Cognition’s orchestration, tools, workspaces, and access to multiple model providers. The pricing page lists frontier models from OpenAI, Claude, Gemini, SpaceXAI, and leading open source providers, and identifies SWE 2 as Cognition’s latest model. Devin can run in the cloud or on a machine, use Windows, Mac, and Linux virtual machines, test through its browser, and record interactions. It can split work across parallel cloud agents, respond when tagged in Slack or Teams, and run scheduled or trigger based workflows. Recent capabilities include Desktop and CLI access, Devin Review, DeepWiki, automations, security swarms, and API access. Model availability, quotas, and product charges vary by plan and usage.

The current self serve plans are Free at zero dollars per month, Pro at twenty dollars, Max at two hundred dollars, Teams at an eighty dollar monthly minimum, and Enterprise at custom pricing. Free provides limited usage, limited model access, Devin Review, DeepWiki, unlimited inline edits, and unlimited Tab completions. Pro is for one user and adds larger daily and weekly quotas, full model availability, cloud agents, integrations, and on demand credits. Max remains an individual plan with a larger weekly quota and no daily cap. Teams supports up to two hundred members. Full seats cost forty dollars monthly and include Pro equivalent quota and Desktop access, while flex seats are free and use shared credits. Extra usage is billed through prepaid on demand credits.

Devin suits delegated, asynchronous repository work, while Cursor, Windsurf, and GitHub Copilot are better fits when continuous interactive editor assistance is the priority. Devin can work in cloud or local environments, run parallel agents, address issues, test applications, and prepare changes for review. Teams gain collaboration, centralized billing, administrative controls, and integrations, while Enterprise adds custom terms, dedicated support, private deployment options, SAML or OIDC single sign on, and teamspace isolation. Organizations should review quotas, model availability, on demand billing, and controls for automated features before adoption. Cognition’s product materials emphasize audit logs, separate virtual machines, zero data retention with model providers, and customer ownership of inputs and outputs. Choose Devin for delegated engineering workflows, and choose editor centered tools for close local control.