Devin

Devin, by Cognition, launched as "the first AI software engineer" — an autonomous agent that takes a ticket and delivers a pull request: planning the work, writing code across files, running it in its own shell and browser, debugging failures, and iterating until tests pass.

Unlike copilots that assist while you type, Devin operates like a junior engineer you delegate to. It works in a sandboxed environment with a code editor, terminal and browser; you watch its plan and steps, intervene when needed, and review the resulting PR. Teams use it for well-scoped tasks: bug fixes, test coverage, migrations, small features and code modernization at scale.

Pricing is subscription/usage-based aimed at engineering teams, with entry plans making trial accessible.

Strengths: true end-to-end task completion (not suggestions), parallelism — spin up several Devins on a backlog — and steady improvement on benchmark and real-world tasks. Weaknesses: like all autonomous coders, it shines on bounded tasks and struggles with ambiguous, architecture-heavy work; reviewing its PRs is mandatory, not optional; and cost-per-task math matters versus a copilot workflow.

Who it's for: engineering teams with backlogs of well-defined tasks — and developers curious what delegating whole tickets to an AI actually feels like. Compare with Claude Code, the other leading agentic approach.