Devin
The AI software engineer that autonomously writes, debugs, and ships code
AI-Powered Summary
Devin is an autonomous AI software engineer by Cognition that can independently write, debug, and deploy code. It operates in its own sandboxed environment with a full IDE, shell, and browser, handling engineering tasks from start to finish. It's used by engineering teams at companies like Nubank to accelerate large-scale code migrations, refactors, and backlog work.
Key Features
What makes Devin stand out
Autonomous Coding
Devin independently writes, debugs, and completes engineering tasks without constant supervision.
Built-in IDE
Devin has its own integrated development environment for writing and editing code.
Codebase Learning
Devin learns from your repository over time to handle tasks more accurately.
Devin Wiki
Auto-generates documentation and knowledge from your codebase for easy reference.
Concurrent Sessions
Run multiple Devin instances in parallel to tackle many tasks simultaneously.
Devin API
Programmatically assign tasks and integrate Devin into your existing workflows.
Code Review
Devin Review helps review pull requests and suggest improvements automatically.
Playbook Automation
Create and refine playbooks so Devin consistently follows your team's preferred approaches.
What's Great
- Fully autonomous execution — handles tasks end-to-end without constant human oversight
- Learns from your codebase over time, improving task accuracy with continued use
- Unlimited seats across all plans, so entire teams can collaborate without per-seat costs
- Supports concurrent sessions (unlimited on Team and Enterprise) for parallel task execution
- Proven at enterprise scale — Nubank reported 8x efficiency gains and 20x cost savings
Things to Know
- Minimum $20 entry cost with no free tier or free trial to test before committing
- ACU-based pricing can be unpredictable — costs depend on task complexity and resource usage
- Advanced features like batch sessions and playbook automation are locked behind the Team plan or higher
- Requires trust in autonomous code changes — human review of Devin's output is still necessary
Pricing Plans
All Devin pricing tiers and features
Core plan is pay-as-you-go starting at $20; Team plan is $500/month
Core
+6 more features
Team
+8 more features
Enterprise
+11 more features
Real Cost Breakdown
Hidden Costs
- ACU overages beyond included amounts — $2.00-$2.25 per additional ACU
- Complex tasks consume more ACUs unpredictably, making monthly costs hard to forecast
- The $500/month Team plan includes only 250 ACUs; heavy usage teams will pay significantly more
Cost Saving Tips
- Use the Core plan at $2.25/ACU if your usage is light and sporadic rather than committing to $500/month
- Create detailed playbooks upfront to reduce wasted ACUs from failed or repeated attempts
- Batch similar tasks together to take advantage of Devin's learning capabilities
Pricing is usage-dependent and can be cost-effective for repetitive engineering tasks at scale, but unpredictable ACU consumption makes budgeting difficult for variable workloads.
Price Comparison
Compare Devin with similar tools
Devin ranks as the 7th most affordable option out of 7 tools, priced 33% above the category average of $15/mo.

Best For
Engineering teams needing to offload repetitive coding tasks and large-scale migrations
Who Should NOT Use This
- Individual hobbyists or students with limited budgets — No free tier exists and the $20 minimum plus per-ACU costs add up quickly; free copilot tools like GitHub Copilot's free tier may be more appropriate.
- Teams needing a real-time pair programming assistant — Devin is designed for autonomous, asynchronous task completion rather than inline code suggestions while you type — a code copilot tool would be a better fit.
- Organizations requiring strict on-premise deployment without cloud access — Even the Enterprise plan offers VPC deployment, not true on-premise. Teams with air-gapped environments would need a different solution.
- Teams working primarily on highly novel, research-oriented code with no existing patterns — Devin excels at repetitive, well-defined tasks like migrations and refactors; it's less suited for greenfield research work that requires deep creative reasoning.
Competitive Position
Devin operates as a fully autonomous engineer that completes tasks end-to-end in its own sandboxed environment, rather than just suggesting code snippets inline.
When to Choose Devin
- You have a large backlog of repetitive engineering tasks like migrations or refactors
- Your team needs to parallelize many similar coding tasks across a large codebase
- You want an autonomous agent that works asynchronously rather than an inline code assistant
- Enterprise-scale code modernization projects where manual work would take months or years
When to Look Elsewhere
- You need real-time, inline code completion while typing — a copilot tool would be better
- Your budget is very limited and you need a free or very low-cost coding assistant
- Your work is primarily greenfield development with no repetitive patterns
- You need a tool that works entirely offline or in air-gapped environments
Strongest alternative: GitHub Copilot
Learning Curve
Prerequisites
Common Challenges
- Learning to write effective task descriptions and playbooks that Devin can follow accurately
- Building trust in autonomous code changes — requires careful review initially
- Understanding ACU consumption patterns to manage costs effectively
- Identifying which tasks are well-suited for Devin versus those requiring human judgment
Frequently Asked Questions
Common questions about Devin
Compare Devin
See how Devin stacks up against alternatives
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