Devin AI

Tool Introduction

Devin AI is an autonomous software engineer built by Cognition Labs, a U.S.-based startup founded in 2023. Its creators aimed to go beyond traditional coding assistants by building an AI that could independently manage the full software development lifecycle. Devin operates in a secure environment and executes tasks such as planning, coding, debugging, and deployment without human intervention. By automating repetitive work and reducing errors, Devin is designed to act as a full engineering teammate—collaborating with humans or working solo.

Demo Available?

Devin AI may offer limited-time, invite-only trials or access by request through sales for enterprise plans.

Tool's Accuracy

Devin AI resolved 13.86% of real-world GitHub issues unassisted on the SWE-bench benchmark. Previous models scored 1.96% unassisted and 4

Aggregate Rating

4.3/5 stars (estimated from informal sources and limited reviews)

Detailed Overview

Devin AI autonomously executes the entire software development process using natural language input and secure tools.

What Devin AI Does

Devin AI acts as a fully autonomous software engineer. It accepts plain English instructions and generates detailed project plans using its planner module. Within a sandboxed environment featuring a command line, code editor, and web browser, it installs dependencies, writes code, searches documentation, runs tests, debugs errors iteratively, and adjusts based on feedback. It also manages pull requests and integrates with tools like Asana and Zapier. The system learns from repeated use to improve speed and reliability.

Who Devin AI is for

Devin AI supports developers aiming to automate complex tasks and managers seeking productivity gains. It's built for enterprises managing large codebases or technical debt, startups needing scalable dev capacity without hiring more staff, and teams exploring autonomous agents in engineering workflows.

Top Differentiators

Autonomy: Plans and completes projects end-to-end without constant prompts.
Full Lifecycle Support: Covers planning through deployment—not just code generation.
Secure Sandbox: Operates safely within isolated developer environments.
Real-Time Feedback Loops: Adjusts tasks dynamically from user input.
Ongoing Learning: Improves through repetition and project-specific examples.
Multi-Agent Coordination: Executes tasks in parallel via agent collaboration.

Introductory Video

Founding Year

2023

Target Industry

B2B, Enterprise, SMB, Technology, Finance, E-commerce, Healthcare

Available Integrations

Model Context Protocol (MCP): Enables Devin to connect with compatible servers through the MCP Marketplace for standardized tool integration.
Asana: Lets Devin receive and act on engineering tasks directly from project boards to streamline execution.
Zapier: Extends Devin’s automation by linking it to thousands of apps for multi-step workflows based on triggers and permissions.
Shortcut: Allows users to assign development work directly within a story, using an API token generated by a Devin admin.
GitHub: Supports pull request creation, code review, comment response, and change management as part of workflow automation.
APIs and service tokens: Allow organizations to build custom connectors or automate internal workflows.

Plans & Pricing

Core Plan: Starts at $20 as a pay-as-you-go model. This includes about 9 Agent Compute Units (ACUs), priced at $2.25 each. One ACU covers roughly 15 minutes of active work. No details are provided on included seats, storage, or API access.

Team Plan: Priced at $500 per month and includes 250 ACUs. Additional ACUs cost $2.00 each. Includes all Core plan features and supports collaborative use. API access is included, with usage drawing from the ACU pool based on programmatic sessions only.

Enterprise Plan: Offers custom pricing for advanced needs such as collaboration, model tuning, and service-level agreements. Specific inclusions or limits are not detailed.

Features & Specs

Natural Language Understanding: Converts plain-English requests into executable task plans.
Autonomous Planning: Breaks down goals into actionable steps automatically.
Code Generation & Refactoring: Writes new code or updates existing logic across multiple languages.
Command Line Access: Installs packages or runs scripts directly within its environment.
Web-Based Research: Searches online forums or docs to solve unknowns in real time.
Testing & Debugging Tools: Runs tests repeatedly until outcomes meet defined criteria.
Pull Request Management: Opens PRs, leaves comments, reviews changes as part of your workflow.
Workflow Integration: Syncs with platforms like Asana or Zapier for project tracking.
Reusable Playbooks & Memory Storage: Saves templates for recurring actions; retains test results when helpful.
Multi-Agent Parallelism: Distributes sub-tasks among multiple agents for faster delivery.
Confidence Checks & Clarifications: Requests clarification if unsure about next steps.
Documentation Suite: Offers machine-readable docs (Devin Wiki) plus searchable Q&A (Devin Search).
API Access Available: Connect Devin with third-party systems using its public API.

Supported formats include common programming languages (specific list not disclosed), standard documentation formats, web apps, data pipelines, backend services.

All activity occurs in an isolated compute space to protect

Security & Compliance

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Industry Use-Cases

Software Development (Technology Sector)

Devin AI automates large-scale codebase migrations by learning from past examples and executing migration plans independently. You’ll see faster task completion and fewer errors across repetitive engineering work.

It also handles routine maintenance like dependency upgrades using playbook templates. This frees up developers for high-value tasks while improving consistency and reliability in ongoing projects.

Enterprise IT / Digital Transformation

Devin AI accelerates legacy system modernization by refactoring code, testing integrations, and documenting updates. Enterprises complete transformation projects more efficiently with reduced technical debt.

For onboarding, Devin generates readable documentation and searchable code insights. New developers ramp up faster, cutting training time while gaining deeper understanding of the codebase.

Startups / Product Teams

Startups use Devin AI to build product features from natural language specs. It plans, codes, tests, and deploys changes autonomously so teams can launch quickly without adding staff.

Devin also detects bugs through log analysis, reproduces issues, and fixes them independently. This reduces manual triage work and keeps product quality high.

Tool's Alternatives

Bito Wingman
This AI coding agent generates and debugs code while managing workflows inside the IDE. It integrates with tools like Jira and GitHub but focuses on IDE-based automations.

OpenDevin
An open-source reimplementation that runs in Docker. It mimics Devin’s tasks using natural language input and supports full developer control through local plugins.

Engine
Created by Engine Labs, this AI software engineer excels in benchmark performance. It focuses on multi-repo understanding but has less documented extensibility than Devin.

MetaGPT
Uses a modular agent architecture for complex engineering tasks. Its strength is multi-agent collaboration across data science and coding, though some features remain limited.

Frequently Asked Questions

What is Devin AI designed to do autonomously?
Devin AI plans, codes, debugs, and deploys software projects using natural language input without human oversight.

Which pricing plans are available for Devin AI users?
Plans include Core at $20 pay-as-you-go, Team at $500/month with 250 ACUs, and custom-priced Enterprise tiers.

How much work does one Agent Compute Unit (ACU) represent?
One ACU equals about 15 minutes of active development work performed by the system.

Does Devin AI integrate with project management tools?
Yes. Devin integrates with Asana, Zapier, Shortcut, and GitHub to automate engineering workflows across platforms.

What environments or interfaces does Devin operate within?
Devin uses a sandboxed environment featuring a command line, code editor, web browser, and secure compute space.

How does Devin handle repetitive engineering tasks?
It automates routine jobs like dependency upgrades using reusable playbooks and learns from past examples for faster execution.

Can developers interact with Devin through an API?
Yes. Public API access is included in the Team plan and higher; usage counts against the ACU pool per session.

What industries commonly use Devin AI for development tasks?
Typical users span enterprise IT teams, tech startups, product developers, and firms modernizing legacy systems or managing technical debt.

Does Devin support collaboration among multiple agents?
Yes. It distributes sub-tasks across agents using multi-agent coordination to speed up delivery on complex projects.

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