AI Software Engineering Agent Software
Magic.dev
Magic.dev builds frontier code models
- SF Score
- 7.5/10
- Pricing
- Contact sales
Compare tools
2 of 4 tools selected
AI Software Engineering Agent Software
Devin
Devin delegates engineering tasks to agents
- SF Score
- 8.0/10
- Pricing
- Free · Paid
Add third toolCompare up to 4 side by side
Compare features, strengths, trade-offs, and best-fit use cases.
Comparing
Where each one leads
Read straight from the published figures below — not a ranking, and not a recommendation.
Highest SF Score
Devin8.0/10
2 of 2 are scored
Only one with a free plan
DevinFree plan
free-plan status established for all 2
At a glance
The short version
The facts each tool publishes, lined up so you can scan down a column. Anything the catalog does not establish is marked as such rather than counted against the tool.
Magic.dev
- SF Score
- 7.5 / 10
- Starts at
- Not established
- Free plan
- Not offered
- Category
- AI Development & Coding Software › AI Software Engineering Agent Software
Devin
- SF Score
- 8.0 / 10
- Starts at
- $20/mo
- Free plan
- Available
- Category
- AI Development & Coding Software › AI Software Engineering Agent Software
Key differences
Where these tools actually diverge
The decision dimensions that separate this set, with each tool's own position stated plainly. No winner is declared — fit depends on your workflow.
Positioned for
Magic.dev
AI Software Engineering Agent Software
Devin
AI Software Engineering Agent Software
Pricing model
Magic.dev
Contact sales
Devin
Free · Paid
SoftFinders Score
Magic.dev
7.5 / 10
Devin
8.0 / 10
Feature comparison
Capability matrix
Grouped by area. Every state carries a word as well as a colour, and anything the catalog has not established stays neutral rather than counting as a missing feature.
3 rows differ 2 identical
| Capability | | |
|---|---|---|
| Overview | ||
| SF Score | 7.5 / 10Value | 8.0 / 10Value |
| Pricing model | CustomValue | FreemiumValue |
| Starts at | Not established | $20/moValue |
| Free plan | No | Yes |
| Category | AI Development & Coding Software › AI Software Engineering Agent SoftwareValue | AI Development & Coding Software › AI Software Engineering Agent SoftwareValue |
Scroll the matrix sideways to see every column.
Listed by one tool only
15 capabilities are published by a single tool in this set. That does not mean the others lack them — only that the catalog has not established an answer either way.
- Frontier ModelsDevelops long-context models for software engineering automation
- Research FocusTargets ambitious code generation and reasoning tasks
- Enterprise InterestFits teams evaluating strategic AI engineering research
- Public DetailsRequires careful validation because product specifics vary
- Long ContextEmphasizes repository-scale understanding for complex software tasks
- Model PlatformSupports buyers exploring future coding model capabilities
- Autonomous PlanningPlans engineering tasks before coding and testing
- Development WorkspaceWorks inside environments connected to team tools
- Task DelegationHandles scoped work while developers review output
- Issue HandlingTurns tickets into plans code and tests
- Usage QuotasProvides plan limits teams should monitor closely
- AI Codebase SearchRetrieves repository context and explains existing implementations
- Reusable Agent PluginsShares development rules, tools, and organizational knowledge
- Integration SupportConnects with Slack Linear GitHub and MCP
- Development Tool IntegrationsConnects GitHub, GitLab, Slack, Linear, and Jira
Use cases
What each tool is built for
The workflows each tool publishes for itself. Cards appear only for tools that list use cases.
Magic.dev
- Frontier Model Evaluation
- Research Led Automation
- Enterprise AI Planning
- Code Model Partnerships
- Long Context Experiments
+1 more on the Magic.dev profile
Devin
- Autonomous Task Execution
- Engineering Delegation Trials
- Issue To Pullrequest
- Team Tool Integration
Pros & cons
Strengths and compromises
Each tool's published strengths and the compromises that come with them, as supplied — not scored or ranked against each other. Longer lists fold; nothing is left out.
Magic.dev
Pros
- Long-context research may benefit future tooling
- Strong technical focus attracts ambitious teams
- Useful for strategic AI engineering monitoring
Cons
- Public product details remain comparatively limited
- Not a straightforward coding assistant purchase
- Buyer fit depends on strategic experimentation
Devin
Pros
- Ambitious delegation supports broader engineering tasks
- Integrations connect agent work with teams
- Free tier helps early evaluation work
- Provides video evidence of tested changes
- Offers configurable enterprise deployment and governance
Cons
- Autonomous output requires strict review processes
- Usage quotas can limit sustained delegation
- Complex ownership questions remain for teams
- Usage costs vary by model and complexity
- Repository setup and permissions require configuration
- Dedicated deployments require Enterprise licensing
- Autonomous changes still require developer review
Pricing
What each one costs
Published pricing signals only. Where a tool has not established a price, that is what it says — never a zero and never "free".
Magic.dev
- Model
- Custom
Contact Sales
See full pricingDevin
- Model
- Freemium
Public Pricing
See full pricingNext step
Ready to try one?
A matrix narrows the field; a free trial settles it. Open whichever tool fits your workflow best, or start a different comparison.
Compare another set of tools