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Devin ⚡ AI Agent
⚡ Autonomous agents

Devin

Devin is the world's first AI software engineer — built by Cognition AI to plan, write, debug, and deploy code end-to-end without human handholding. Not a copilot. An autonomous engineer that works in its own shell, browser, and code editor. Core plan from $20/month.

4.4 / 5 Core from $20/mo (pay-as-you-go) / Teams $500/mo / Enterprise custom
Agent Overview
💰 PricingCore from $20/mo (pay-as-you-go) / Teams $500/mo / Enterprise custom
⭐ Rating4.4 / 5
📂 CategoryAutonomous agents
🔄 UpdatedMar 22, 2026
Autonomous AgentWorks independently
Verified DataUpdated Mar 2026
TestedHands-on review
⚡ Agent Capabilities
Autonomous end-to-end engineering — plans,…
Own sandboxed shell, browser, and…
GitHub issues and Slack message…
Long-horizon multi-hour multi-file task handling
Knowledge base memory for codebase…
ACU-based billing — pay per…
4.4
Agent Performance Score
Autonomy
4.7
Task Completion
4.4
Integration
4.5
Reliability
4.3
Ease of Use
4.6
Pros & Cons
👍 Strengths
  • Only commercially available fully autonomous software engineer
  • Works asynchronously — assign via Slack or GitHub, review the PR
  • Handles multi-hour tasks that exceed single-session copilot context
  • Sandboxed environment — never runs code on your machine
  • Learns your codebase conventions over time
👎 Limitations
  • Performs poorly on vague or under-specified tasks
  • Still makes architectural mistakes requiring senior engineer review
  • Teams plan at $500/month is expensive for small teams
  • ACU billing makes costs hard to predict for variable workloads
📖

About Devin

Devin (devin.ai) is not a code autocomplete tool. It is a fully autonomous software engineer that receives a task, opens its own terminal and browser, writes and runs code, reads error messages, searches for solutions, and iterates until the job is done — without asking for help at every step. Built by Cognition AI (valued at $2 billion), Devin is the most capable autonomous coding agent commercially available in 2026.

How Devin Is Different From GitHub Copilot or Cursor

Copilot and Cursor are copilots — they suggest code inside your editor while you drive. Devin is the driver. Give it a GitHub issue, a feature request, or a bug report, and it will read the codebase, form a plan, write the fix, run the tests, handle the failures, and open a pull request. You review the PR. You do not sit next to it while it works.

Devin works inside a sandboxed environment with its own shell, browser, and VS Code instance. It can install packages, run servers, read documentation, and debug runtime errors — the full workflow a human engineer follows, compressed into autonomous execution.

Key Features

  • Autonomous end-to-end engineering — plans, codes, debugs, and opens PRs without step-by-step human guidance
  • Own sandboxed environment — dedicated shell, browser, and editor per session; Devin does not operate inside your machine
  • GitHub and Slack integration — assign tasks via GitHub issues or Slack messages; Devin picks them up and works asynchronously
  • Long-horizon task handling — capable of multi-hour, multi-file engineering tasks that exceed what any single-session copilot can hold in context
  • Knowledge base memory — Devin learns your codebase conventions, preferred libraries, and team standards over time

Devin Pricing

Source: devin.ai/pricing, verified March 2026. Devin uses ACU (Agent Compute Unit) billing — each ACU represents a unit of autonomous work.

Devin pricing March 2026
Devin pricing as of March 2026 — screenshot from devin.ai/pricing
  • Core — from $20/month — Pay-as-you-go at $2.25/ACU. Best for individuals or teams with variable workloads who do not want a committed monthly seat.
  • Teams — $500/month — Includes 250 ACUs per month (~111 hours of autonomous work). Slack and GitHub integrations, shared workspace, team management. Additional ACUs at $2/ACU.
  • Enterprise — custom pricing — Unlimited ACUs, dedicated infrastructure, SSO, compliance documentation, SLAs, custom integrations.

What Devin Is Not Good At

Devin performs best on well-defined tasks with clear acceptance criteria. Vague requests ("improve the codebase") produce unfocused results. It still makes mistakes on complex architectural decisions and occasionally gets stuck in debugging loops. The right mental model: Devin is a capable junior engineer who needs clear briefs and PR review, not a senior architect who designs systems independently.

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