Devin
Devin is
Devin — AI Software Engineer
Core parameters and statistics
| Parameters | Details |
|---|---|
| Product Type | AI Software Engineer (SWE Agent) |
| Latest Model | SWE 1.6 |
| Core Competencies | Independent Planning → Coding → Debugging → Testing → Submit PR |
| Parallel Agent | Supports multiple Cloud Agents running simultaneously |
| Support code hosting | GitHub, GitLab, Bitbucket, and custom Git service providers |
| Integrated Tools | Slack, Teams, Linear, Jira |
| Companion IDE | Devin Desktop (formerly Windsurf) - Tab completion + inline editing |
| SWE-bench score (preview version) | 13.86% (the highest record at the time when it was first launched in March 2024) |
| Pricing starting point | Free version; Pro $20/month; Max $200/month |
The essential difference between Devin and traditional AI programming assistants (such as GitHub Copilot and Cursor) is that the latter is an "auxiliary tool" that requires developers to lead every step; Devin is an "AI colleague" that can independently complete the entire project step by step after receiving high-level task descriptions, including reviewing documents, calling tools, running tests, and reporting the results after completion.
User and market recognition
- It caused a global sensation when it debuted in March 2024, and is the pioneer of the "AI software engineer" category.
- Launched with a SWE-bench problem solving rate of 13.86%, far exceeding all public AI models at the time (the previous one was about 3%), establishing its technological leadership.
- Teams and Enterprise plans for engineering teams have been adopted by many leading technology companies in Silicon Valley (specific customers have not been disclosed).
- Acquired Windsurf IDE (under Codeium) at the end of 2025 and renamed it Devin Desktop to deeply integrate Agent capabilities with the IDE.
- Pricing and the launch of the Max ($200/month) plan shows its market positioning for heavy engineering use is becoming clear.
Cost advantage
| Plan | Price | Key Benefits |
|---|---|---|
| Free | $0 | Light usage, limited models, unlimited inline editing and tab completion |
| Pro | $20/month | Higher usage quota, full model available (including SWE 1.6), Cloud Agent access |
| Max | $200/month | Significantly higher usage quota, suitable for heavy Agent users |
| Teams | $80/month team + $40/month/full developer seat | Based on Pro, it adds team collaboration, centralized billing, and management dashboard |
| Enterprise | Customization | Highest priority support for SSO/SAML, VPC private deployment, compliance control |
Compared with hiring a mid-level software engineer (monthly salary $8,000–$15,000), Devin Max ($200/month) is extremely cost-effective in handling repetitive engineering tasks that can be automated; however, currently Devin cannot completely replace engineers, and is more suitable as the "AI parallel execution layer" of the team to handle clear and clear-scope tasks.
Main functions
- Autonomous engineering task execution: Receive natural language task descriptions (such as "Add two-factor authentication in the user authentication module"), automatically plan steps, consult the code library, write code, run tests and submit PRs, without manual step-by-step guidance.
- Parallel Cloud Agent: In Pro and above plans, multiple Devin Cloud Agents can be started at the same time to process different tasks in parallel, significantly improving team engineering throughput.
- Ask Devin: An interactive mode similar to an instant messaging interface. You can ask Devin technical questions, delegate tasks, or conduct code reviews.
- DeepWiki: Devin's in-depth indexing and document generation functions for connected code bases make it easy to quickly understand large code bases.
- Devin Desktop (IDE): The original Windsurf IDE, which provides Tab auto-completion, Cmd-K inline editing and Agent integration. It is a local development environment that can be used independently or in conjunction with Cloud Agent.
- Tool Integration: Native support for Slack/Teams messages to trigger Linear/Jira work orders and automatically associate GitHub/GitLab/Bitbucket PR submissions.
- Devin API: allows enterprises to integrate Devin Agent into their own workflows and tool chains to programmatically trigger engineering tasks.
- Code Base Understanding: Devin can automatically crawl and understand the project code structure, and can find the correct modification location without detailed instructions.
Model and version evolution
Devin's core models are named after the SWE (Software Engineering) series:
| Version | Time | Milestone |
|---|---|---|
| Preview version (original Devin 1.0) | 2024-03-12 | The world's first AI software engineer, SWE-bench 13.86% |
| Official version 1.0 | 2025-04 | Team functions, parallel Agent, and integration suite are online |
| SWE 1.5 | 2025-12 | The stability of multi-step execution has been greatly improved |
| SWE 1.6 (current) | 2026-06 | New generation model, code generation and debugging capabilities have been significantly improved |
The acquisition of Windsurf at the end of 2025 is an important milestone: Windsurf was renamed Devin Desktop, marking the expansion of Cognition's products from "pure Agent" to a "Agent + IDE" complete developer platform.
Technical advantages
Real Agent cycle: Devin is not a simple "prompt word → code generation", but implements a complete ReAct style Agent cycle: observe the status of the code base → plan the next step → perform actions (read files, write code, run commands) → observe the results → continue to the next step until the task is completed. This enables it to handle multi-step, multi-file tasks in real projects.
Proprietary SWE model: Cognition self-developed a series of SWE models specifically trained for software engineering tasks, rather than directly calling a general-purpose LLM. Specialized training improves the model's understanding of code semantics, engineering best practices, and common bug patterns.
Parallel Agent Architecture: Teams and above plans support multiple Devin instances running in parallel. Each instance performs tasks in an independent cloud sandbox without interfering with each other. The engineering team can assign Sprint tasks to multiple Agents for simultaneous processing.
IDE integration: Devin Desktop embeds Agent capabilities into the IDE workflow. Developers can summon Agents to take over tasks or provide suggestions at any time while coding locally, without having to switch back and forth between tools.
How to use
| Entrance | Description |
|---|---|
| Web interface | Visit app.devin.ai, log in and describe the task through a dialog box, and Devin will automatically execute it |
| Devin Desktop | Download and install (Windows/macOS), call Agent through the sidebar or shortcut keys in the IDE |
| Slack/Teams integration | Submit tasks to @Devin in the project channel, and Devin will automatically process and respond to the progress |
| API | Submit tasks programmatically through Devin API, suitable for automated workflow integration |
| GitHub Actions | Trigger Devin fixes for failed tests or code reviews in your CI/CD process |
Typical steps:
- Visit https://devin.ai, sign up and select the appropriate subscription plan.
- Connect to the code repository (GitHub/GitLab/Bitbucket) and complete permission authorization.
- Describe the task in the Ask Devin interface (such as "Fix the certification bug in issue #123, refer to the writing method of existing test cases").
- Devin automatically starts planning and execution, and real-time progress can be viewed in the interface.
- Devin submits a PR after completion, and the developer conducts code review and merges it.
Product Pricing
Devin adopts a subscription system, and each plan includes a "basic usage quota". The excess can be purchased additionally at the API price:
- Free ($0): A lightweight experience, suitable for evaluating Devin's abilities, including unlimited tab completion and inline editing.
- Pro ($20/mo): Mainline individual developer plan, supports SWE 1.6 and Cloud Agent, includes available quota.
- Max ($200/month): For high-frequency Agent use, the quota is significantly higher.
- Teams ($80/month base + $40/month/full seats): Team collaboration, centralized management, and Analytics dashboards.
- Enterprise: VPC deployment SSO/SAML, highest priority support, quotation customization.
Note: "Full dev seat" includes independent quota and full access to Devin Desktop; team members can also join as view/review roles at no additional charge.
Application scenarios
1. Engineering team task distribution and parallel execution The technical lead allocates clearly defined tasks in the Sprint (such as "supplementing unit tests for all CRUD interfaces" and "migrating Python 2 code to Python 3") to multiple Devin Cloud Agents for parallel processing, while engineers focus on the core architecture and Code Review, and the overall Sprint throughput is greatly improved.
2. Technical debt cleanup and code refactoring Refactoring tasks with clear scope (such as "change all callback style code in the project to async/await" and "update all deprecated API calls") are very suitable for Devin, which can systematically promote technical debt cleanup without taking up engineers' energy.
3. Bug fix automation After integrating with Linear/Jira, when a bug ticket is created and marked as "automatable", Devin automatically receives the order, locates the problem, fixes the code and submits a PR, speeding up the bug repair cycle.
4. Code base document generation Use the DeepWiki function to automatically generate module documentation and API descriptions for large code bases, reducing the pressure of document reading when new members are onboarded.
Applicable people
- Engineering Technology Team (CTO/Tech Lead): Use Devin as the "AI parallel execution layer" to expand the team's engineering capacity, suitable for engineering work with clear tasks and clear scope.
- Independent Developer/Solopreneur: Use Devin to handle tedious repetitive engineering tasks (test addition, document generation, dependency upgrade), focusing on core functional development.
- Development Productivity Leader: Explore AI-assisted engineering process automation and embed Agent capabilities into existing CI/CD and project management tools using the Devin API.
- Not suitable for scenarios: For engineering tasks that require in-depth domain knowledge, innovative architectural design, or are highly dependent on implicit team context, Devin currently still requires a lot of manual guidance, and the fully autonomous mode has limited effect.
Summary and Outlook
Devin defined a new product category as an "AI software engineer" and proved the technical feasibility of autonomous engineering Agents with his breakthrough performance in SWE-bench. The acquisition of Windsurf and its integration into Devin Desktop is an important strategic move, marking Cognition's deep integration of Agent capabilities into daily development workflows.
Current limitations: The accuracy of task descriptions is high, and vague or cross-system tasks are still prone to failure; at the system design level that requires in-depth business background, the independent capabilities are limited; the pricing is not cheap for individual developers.
Follow-up focus: the continued iteration of the SWE model series (benchmark test results are further improved), the in-depth collaborative experience between Devin Desktop and Cloud Agent, large-scale implementation cases for Enterprise customers, and the evolution of the competitive landscape of the AI software engineer category (differentiated competition with Cursor, GitHub Copilot, Manus and other products).
Related tools: github-copilot, 
Cursor
Version Info
- Devin SWE 1.6 ：Cognition's latest generation software engineering model has greatly improved its code generation, multi-step task planning and debugging capabilities. Free for Pro and above subscribers.
- Devin SWE 1.5 ：Introduce a more stable multi-step Agent execution framework to improve the failure rate of long tasks.
- Devin SWE 1.0 (formerly Devin 1.0) ：The first team-oriented production version supports Slack/Teams/GitHub integration, and the parallel Agent capability is officially launched.
- ：The world's first "AI Software Engineer" product was publicly unveiled, setting a new record at the time with a 13.86% problem solving rate in the SWE-bench benchmark test, becoming one of the most watched AI releases in 2024.
User Reviews