Devin

Autonomous AI software engineer — async task execution, runs in its own sandbox, priced by Agent Compute Units.

By Cognition AI $20 Public sources
Try Devin →

Best for

  • Async, file-it-and-forget-it tasks (PRs from descriptions, ticket-to-code)
  • Engineering managers who want to delegate well-scoped work
  • Multi-repo orchestration when you have the budget

Weak at

  • Cost — even Core's ACU model adds up fast on real work
  • Tight feedback loops — its async-first design fights interactive sessions
  • Transparency — closed model, no provider choice

Pricing

Tier Price Notes
Core $20 / month Pay-as-you-go, additional ACUs at $2.25 each
Team $500 / month 250 ACUs included, additional ACUs at $2 each, multi-repo parallel
Enterprise Custom / month VPC option for data isolation, SSO, advanced security

What it is

Devin is Cognition AI’s autonomous engineer. You give it a task; it plans, runs commands, edits files, and opens a PR — typically in its own sandboxed cloud environment, asynchronously. Pricing is by Agent Compute Unit (ACU), measuring the work each task takes.

What it does well

Async, fire-and-forget tasks are Devin’s strength. For ticketed work where you can describe the outcome and don’t need to watch the process, it produces complete PRs with reasonable structure. Multi-Devin parallelism on the Team tier is genuinely useful for orchestration.

Where it falls short

Cost is the persistent issue. The original $500/mo Team tier was infamous; the $20 Core tier helps but ACU usage on real tasks adds up. The closed model means no provider choice, no local execution, no MCP. For interactive coding sessions with tight feedback loops, Cursor or Claude Code give you more control per dollar.

Verdict

Best when you can hand off well-defined tasks and walk away. The Core tier at $20 makes Devin testable for individuals, but real usage on Team tier is $500+ for predictable capacity. For many teams, a $20 Core plus their existing IDE assistant is the more useful combination than committing to Team.

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