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Devin is an autonomous AI software engineer by Cognition that plans, codes, tests, and creates pull requests from natural language task specifications.
Coding
9.2Devin autonomously reads codebases, formulates multi-step implementation plans, writes code across multiple files, runs and debugs tests, and creates pull requests from natural language task specifications in Linear, Jira, or Slack — completing 83%+ more junior-level development tasks than Devin 1.0 without step-by-step human guidance.
Automation
8.8Parallel Devin agents enable multiple simultaneous autonomous coding tasks, Slack integration allows natural language task assignment within existing team communication workflows, and GitHub/GitLab PR creation automates the full code review submission process — reducing engineering bottlenecks on repetitive implementation tasks.
Data Analysis
7.8Devin can be tasked with building data processing pipelines, automating data visualization scripts, and debugging data analysis code within its sandboxed cloud environment, but it is not a purpose-built data analysis tool and does not provide the interactive exploration or dashboard creation capabilities of dedicated data analysis platforms.
Devin is Cognition AI's autonomous software engineering agent that operates independently in a sandboxed cloud environment with its own IDE, shell, and browser. Given a task via Slack, Linear, Jira, or direct input, Devin reads the codebase, generates an Interactive Planning blueprint with a confidence score, writes code across multiple files, runs and debugs tests, and creates pull requests. Devin 2.0 (April 2025) reduced entry pricing from $500 to $20/month on a pay-as-you-go ACU model ($2.25/ACU) and introduced parallel Devin agents for concurrent task execution. Team plan is $500/month with 250 included ACUs. Enterprise pricing is custom with VPC deployment and SAML SSO. Total monthly cost scales with ACU consumption, which is unpredictable for complex tasks. Senior engineer oversight remains required for complex or novel tasks. Foundation model powering Devin 2.0 is not publicly disclosed.
Pricing
| Plan | Model | Usage Limits | Price |
|---|---|---|---|
| Core | Devin 2.0 autonomous software engineering agent (foundation model undisclosed); full capability including Interactive Planning and parallel agents | Pay-as-you-go at $2.25/ACU; unlimited parallel Devin agents; individual developer use; no included ACUs beyond minimum spend | $20/mo minimum |
| Team | Devin 2.0 with API access and priority support; same model as Core | 250 ACUs included (effective $2.00/ACU); API access; priority support; designed for engineering teams | $500/mo |
| Enterprise | Devin 2.0 with custom Devin model training, VPC deployment, and advanced enterprise security configuration | Custom ACU allocation; VPC deployment; custom Devin models; SAML SSO; audit logs; dedicated support; Dell, Cisco, Goldman Sachs confirmed customers | custom |
Core at $20/month minimum with ACU pay-as-you-go enables individual developers to delegate repetitive implementation tasks, bug fixes, and test writing to Devin while working on higher-complexity problems — with Interactive Planning providing a confidence score and step-by-step blueprint before any code is written to reduce unexpected failures.
Dell, Cisco, and Goldman Sachs enterprise deployments confirm production-scale viability; VPC deployment and SAML SSO on Enterprise meet regulated industry security requirements; custom Devin model training enables domain-specific codebase understanding; audit logs provide compliance documentation for enterprise procurement.
Core at $20/month enables early-stage startups to assign junior-level implementation tasks to Devin without junior headcount cost, with parallel agents handling multiple features simultaneously — though ACU cost overruns on complex or underspecified tasks require careful monitoring to avoid budget surprises.
Natural language task specification via Linear, Jira, or Slack allows product managers to directly submit feature requests for Devin to implement without intermediary translation by a developer, and Interactive Planning blueprints provide visibility into implementation approach — but complex feature requirements still require developer review of Devin's plan and output before merging.
GitHub Copilot
IDE-integrated autocomplete and PR summaries with broad editor support at $10–19/user/month, but operates as an assistant within the developer's workflow rather than as an autonomous agent executing tasks independently
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Cursor
IDE-embedded AI with real-time autocomplete and visual diff review at $20/month flat, but not autonomous — requires developer to remain in control at every step rather than delegating full task execution
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Consider These Instead
Choose Cursor over Devin when IDE-embedded real-time AI assistance, inline autocomplete, visual diff review, and synchronous developer interaction are required at $20/month flat with no per-task consumption pricing. Choose Claude Code over Devin when terminal-based agentic coding with Agent Teams for parallel multi-agent workflows, 1M token context for large codebase understanding, and $5/$25 per MTok transparent API pricing are preferred over Devin's opaque ACU consumption model. Choose Aider over Devin when open-source, BYO API key, git-first autonomous coding with full model freedom and no subscription or ACU overhead is the priority at API-only cost.