Devin

What is Devin?

Autonomous software engineering agent that works asynchronously in its own cloud environment - it plans, writes code, runs a browser and terminal, tests, and opens pull requests with minimal supervision. Positioned as a teammate rather than an assistant.

Main features

• Autonomous end-to-end task execution in a sandboxed cloud VM
• own shell, browser, editor and test runner
• Devin Wiki auto-documenting your codebase
• Devin Search for codebase Q&A
• parallel Devin sessions
• Slack and Linear integration for task assignment
• session replay showing every step taken
• knowledge base of team conventions.

Practical use cases

• Clearing a backlog of small, well-specified tickets in parallel
• large mechanical migrations (framework upgrades, dependency bumps)
• writing missing test coverage
• bug triage and reproduction
• documenting an undocumented codebase.

Who is it for?

• Engineering teams with well-tested codebases, platform teams handling migration backlogs, and organisations experimenting with autonomous agents.

Pricing, free access & limits

Usage-based - billed in Agent Compute Units (ACUs) - plus team plans

Plans described in the source

Core plan at $20/mo minimum with pay-as-you-go ACUs (historically around $2.25 per ACU; roughly one ACU per 15 minutes of active work). Team plans around $500/mo including a bundle of ACUs plus seats. Enterprise quoted annually with volume ACU commitments, VPC deployment and SSO. Cognition dropped the original $500/mo minimum entry point in 2025 to open self-serve access.

Usage limits to consider

ACU-metered - a complex task can consume many ACUs with no guarantee of success, so cost per completed ticket is variable. Concurrency (parallel Devin sessions) is tier-limited.

Strengths & tradeoffs

These points summarize the supplied research, rather than hands-on test results.

Strengths noted in the source

• Genuinely asynchronous - you assign a ticket in Slack and get a PR back, which no IDE-based tool replicates
• parallel sessions let one engineer supervise several tasks
• session replay makes the agent's work auditable
• Devin Wiki is a useful byproduct on legacy codebases.

Limitations to consider

• Success rate on ambiguous or architecturally complex tasks is low and ACUs are consumed either way
• requires a well-tested codebase with good CI to be safe
• expensive per completed unit of work compared with a developer using Cursor
• early independent benchmarks were considerably less flattering than the marketing
• needs careful sandbox and credential governance.

Platforms, languages & integrations

Platforms

• Web app, Slack, Linear, Jira
• GitHub/GitLab integration

Languages

• Mainstream languages; strongest on Python, TypeScript/JavaScript, Go

API access

Yes - Devin API for programmatic session creation and enterprise integration

Integrations and exports

• GitHub, GitLab, Slack, Linear, Jira, Sentry, AWS, custom via API and MCP

Evaluation notes

Scope tasks tightly and measure cost per merged PR, not cost per hour - that is the only honest ROI metric. Devin performs best where a human would also find the task mechanical; it struggles where judgement is required.

Frequently asked questions

Sources & editorial notes

Based on the directory editor’s supplied research. The source does not provide a verification date for this row. Importing a record does not independently verify every product claim.

• Official product website
• Official pricing