Description

Devin is the world’s first fully autonomous AI software engineering assistant designed to tackle complex end-to-end coding tasks. It can automate technical debt cleanup and boost developer productivity by orders of magnitude across planning, coding, debugging, and testing to deployment. Unlike traditional code assistants, Devin can independently write, test, debug, document, and deploy code, even handling large-scale migrations and repetitive refactoring work. It integrates into Slack, Linear, and Jira so you can assign work simply by tagging @Devin and watching it execute. Devin excels at refactors, migrations, bug triage, and first‑draft PRs, learning your codebase over time, retaining contextual “tribal knowledge,” and delivering remarkable efficiency and cost savings.

Its agent-native IDE experience allows seamless collaboration—developers can switch effortlessly between manual and AI-assisted workflows, while Devin autonomously manages backlogs and integrations. Its agentic workflow—with built‑in shell, browser, and editor inside sandboxed compute—lets it plan, research via web when needed, self-correct, and deploy autonomously.

Among benchmarks, Devin solved 13.86 % of open‑source GitHub bugs end‑to‑end—far above standard models’ ~1.96 %–4.8 % Backed by some of the industry’s top investors, Devin stands out for automating software engineering at a level unattainable by most alternatives.

Devin Key Features

1. Agent-Native IDE: Provides a code editor resembling VS Code, enabling both AI-driven and manual coding within a single environment. Full-stack sandbox environment – includes shell, code editor, browser for seamless execution 
2. Autonomous End-to-End Development: Takes a project from concept to deployment—designing architecture, coding, testing, and integration with minimal human input.
3. Advanced task planning and decomposition: Breaks down multi‑step engineering problems logically 
4. Automated Technical Debt Cleanup: Identifies, triages, and fixes technical debt autonomously, clearing backlogs and accelerating engineering velocity.
5. AI-Generated Docs (Devin Wiki): Automatically creates and updates comprehensive software documentation and architecture diagrams, accessible via Devin Search.
6. Smart Code Refactoring: Handles large-scale, tedious refactoring and code migrations—a single Devin can complete what previously took thousands of engineering hours.
7. Multi-Agent Collaboration: Supports distributed work via multi-agent operation—enabling massive parallelization for enterprise-scale tasks.
8. Continuous Learning and Fine-Tuning: Improves with use, leveraging feedback to boost task speed and reliability while reducing errors.
9. Integrated Pull Request Management: Can create, review, and merge PRs, manage GitHub and Linear workflows, and handle code review comments autonomously.
10. Seamless Workflow Integrations: Connects natively with Linear, Slack, Asana, Zapier, and MCP servers, fitting into existing engineering workflows. Natural‑language input via Slack / Linear / Jira assignment – start tasks effortlessly.
11. Flexible Pay-As-You-Go Billing: Affordable for individuals and enterprises, charging by compute units based on active AI work time.
12. Context memory and tribal knowledge tracking: Retains notes and knowledge entries across runs.
13. Confidence‑driven prompts: asks for clarification when unsure. 

Devin Key Customers

Devin’s website mentions they have authored millions of lines of code for top companies like Linktree, Microsoft, OpenSea, Ramp, Gumroad, MongoDB, and more. Here is what some companies have achieved using Devin from their customer case studies:

• Nubank: Migrated a 6-million-line ETL monolith to sub-modules 12x faster, achieving 20x cost savings and completing critical migrations in weeks instead of years.
• Ramp: Automated technical debt cleanup, saving thousands of engineering hours by triaging and resolving Airflow failures and backlog items, letting engineers focus on high-value work.
• Goldman Sachs: First major bank to pilot Devin, planning to deploy hundreds or thousands of Devins for various software automation use cases.

Who is the founder or CEO of Devin?

Devin was founded by Scott Wu (CEO), Steven Hao (CTO), and Walden Yan (CPO), all IOI gold‑medalist competitive programmers.

Where is the Devin Headquarters location?

Devin is headquartered in San Francisco, California, United States.

Devin Funding News

Devin’s makers Cognition initially raised ~$21 M from Founders Fund at a $350 M valuation in early 2024, followed by a $175 M round in April 2024, valuing Cognition Labs at ~$2 Billion. In March 2025, it closed a round led by 8VC and Joe Lonsdale, reaching a $4 B valuation.

Cognition acquired Windsurf recently for an undisclosed sum in July 2025.

Who Should Use Devin?

Devin is ideal for engineering teams in mid‑size to enterprise organizations with large codebases or high backlog load. Best for bug triage, migrations, automated testing, technical debt cleanup, refactors, and first‑draft PR generation, autonomous backlog management, documentation automation, and rapid prototyping. Teams that want to offload routine coding under supervision and enable engineers to focus on strategic tasks will benefit most.

• Software engineering teams (startups to large enterprises)
• CTOs/VPs of Engineering seeking engineering velocity
• Product managers needing fast backlog resolution
• Companies with technical debt or heavy migration needs
• Enterprise IT and platform ops teams

Devin Pros

• Handles full-lifecycle software projects end-to-end.
• Customers have reported 12x efficiency improvements and 20x cost reductions for large migrations (source). 
• Rich integrations as it works natively with industry-standard tools like GitHub, Slack, and Linear.
• Learns from and adapts to your codebase over time via memory features.
• Allows both coding and AI collaboration in a familiar IDE environment for a smooth developer experience.
• Initiative-driven workflow: plans, executes, and tests code with minimal prompts. 
• A pay-as-you-go plan allows lighter users to test at a low cost ($20 entry).

Devin Cons

1. Pay-as-you-go may become expensive for heavy use. ACUs on the cheapest plan can be quickly used up for large codebases.
2. Still requires human review for critical merges: Complex or business-critical deployments need human oversight.
3. Occasional reliability gaps on very novel codebases. Like any AI, it might struggle or need retraining for rare, undocumented workflows.
4. Learning curve for initial setup and onboarding: Teams may need to invest time fine-tuning for specialized use cases.
5. Slack‑based workflow can be cumbersome; thread “hell” reported by some users (source).
6. Developers on Reddit criticize deceptive demos or overselling of capabilities (source).
7. Not coachable in deeper architectural thinking; still limited on context‑heavy tasks (source).

Devin Integrations

Supports GitHub, Slack, Linear, Jira, Asana, Notion, Airtable, Segment, Stripe, AWS, Azure, Datadog, Notion, Sentry, Snowflake, Databricks, Google Drive, MongoDB, PostgreSQL, Zapier, Confluence, etc. Details available on Devin integrations guide.

• GitHub: PR management, reviews, and merges
• Linear: Ticketing and project management
• Slack: Task assignment and progress updates
• Asana, Zapier, and MCP servers: Broader workflow automation.

Devin Free Plan

Via DeepWiki, non‑subscribed users get access to code‑searchable wikis and documentation generation. You can experiment with Devin Search to query code. This is suitable for small projects or individuals trying out AI-based coding and documentation.

However, core generation agent, planning, PR creation, and autonomous coding only unlocked on the paid plan. There is no dedicated free trial or free plan available for Devin directly.

Devin Paid Plan Pricing

Devin Paid Plan	Price	Devin Paid Plan Features	Best For
Core	$20/month	~9 Agent Compute Units (ACUs), access to most features	Perfect for solo developers or small teams wanting to test Devin or use it for occasional tasks without a high subscription cost.
Team	$500 per month	Flat 250 ACUs included, charged at $2.00 per ACU, for a total of $500 per month  Includes unlimited seats and unlimited concurrent sessions. Comes with enhanced support: dedicated Slack Connect channel, optional onboarding call, access to early features, centralized admin, and teamspace isolation. Supports enterprise-grade security: VPC deployment, SSO (SAML/OIDC), admin controls, and more	Great fit for engineering teams needing predictable capacity and full-feature autonomy.
Enterprise	Contact Sales	Larger organizations can negotiate custom plans with volume pricing, dedicated account teams, advanced security, unlimited ACUs, and centralized multi-organization management.	Tailored for large organizations needing advanced compliance, custom terms, and centralized control.

Note: 15 minutes of active AI work = 1 ACU; $20 covers 2.25 hours of AI work. Old pricing was $500/month.

Devin Discounts

No public discount codes available — contact the Devin sales team.

Devin Alternatives Comparison

AI Tool Name	What’s Good	Limitations
GitHub Copilot	Superb code completion, familiar IDE integration	Not autonomous; code suggestions only, doesn’t handle multi‑step planning, testing, or deployment.
Devika / OpenDevin (OpenHands)	Open‑source, lower cost	Much lower success rate (<5 %) on bug fixes; less integration
Amazon CodeWhisperer	Strong AWS and cloud integrations	Focused on code snippets, not full projects
Cursor AI	Excellent VS Code integration for suggestions, a Lightweight agent with an incremental workflow	Lacks end-to-end project autonomy; manual prompts needed
Tabnine	Fast, privacy-focused local code suggestions	Not suited for large-scale codebase automation
Replit Ghostwriter	Rapid prototyping in a browser IDE	Limited enterprise features, less extensibility
AvaCode, Cody	Basic automation, quick setup for devs	Cannot autonomously manage PRs or refactor code
Genie (by Cosine)	Strong generative UI/UX for small apps	Not fully autonomous for large engineering workflows

What distinguishes Devin from other Devin alternatives?

Devin is the only coding platform that delivers autonomous, end-to-end software engineering. It manages codebases, documentation, and technical debt without constant human oversight—while alternatives focus on code suggestions, Devin acts as a true AI teammate, capable of full project delivery and workflow automation. It deploys while learning over time and integrating deeply into team workflows—beyond what autocomplete tools or lightweight agents offer.