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Devin vs MainFunc

A detailed side-by-side comparison to help you choose the right AI coding agent for your needs.

Best autonomous AI software engineer for large-scale migrations and refactors

Devin

Devin by Cognition Labs is the most-talked-about autonomous AI software engineer of 2024-2026 — an agent that plans, codes, tests, and ships software with minimal human oversight, designed specificall...

AI Models
Cognition proprietary modelsGPT-5 familyClaude Opus + Sonnet
Key Features
  • Autonomous full-task software engineering
  • Cloud sandboxed dev environment per task
  • Plans, writes code, runs tests, debugs, opens PRs
  • Devin Review (free standalone code review agent)
  • DeepWiki (free codebase exploration tool)
Pricing
Free$0
Pro$20/month
Max$200/month
Teams$80/month
EnterpriseCustom
Pros
  • Most autonomous coding agent shipped to date — handles full tasks end-to-end
  • Documented massive efficiency gains on real migrations (Nubank 8-12x, 20x cost savings)
  • Free Devin Review + DeepWiki gate-opens the platform for evaluation
Cons
  • Best results require well-scoped tasks — vague prompts lead to off-track work
  • Pricing scales fast for heavy use ($200/mo Max for power users)
Best platform for building and deploying custom enterprise AI agents

MainFunc

MainFunc is an AI platform for building, deploying, and managing custom enterprise agents that automate complex business workflows requiring code generation, system integration, and multi-step reasoni...

AI Models
GPT-4oClaude Opus 4.6Claude Sonnet 4Gemini 1.5 ProCustom fine-tuned models
Key Features
  • Visual agent builder with reusable action blocks for business logic
  • Managed execution layer handling orchestration, retries, and error recovery
  • Sandboxed code execution environment for agents writing and running code
  • Real-time execution traces and token usage analytics per workflow
  • Multi-model support with per-step model selection
Pricing
DeveloperContact for pricing
TeamContact for pricing
EnterpriseCustom pricing
Pros
  • Production-grade execution layer removes infrastructure burden from engineering teams
  • Visual builder accelerates agent development without sacrificing customization
  • Per-step model selection optimizes cost and capability across complex workflows
Cons
  • Best suited for engineering teams; requires technical configuration for complex agents
  • Pricing requires sales engagement with no fully self-serve tier

Verdict: Devin vs MainFunc

Pick Devin if you need autonomous ai software engineer for large-scale migrations and refactors. Pick MainFunc if you need platform for building and deploying custom enterprise ai agents.

More AI models

MainFunc supports 5 models.

More integrations

Devin integrates with 7 platforms.

Who should buy this

Devin

Best for
  • Engineering team facing large-scale migration / refactor work (codebase modernization, framework upgrades)
  • VP Eng wanting to scale capacity without proportional headcount growth
  • Senior engineer offloading well-scoped tasks (test coverage, dependency upgrades, format consistency)
Not ideal for
  • Solo devs preferring augmented-IDE workflows (Cursor / Copilot fit better)
  • Teams without clear task scoping (Devin needs well-defined work to thrive)
Realistic monthly cost

Solo dev: free (Review + DeepWiki) or $20/mo Pro. Power user: $200/mo Max. Team: $80/seat/mo. Enterprise: custom contracts (typically $50-300K+/yr).

Verified 2026-05-06

Capabilities at a glance

CapabilityDevinMainFunc
Autonomous full-task software engineering
Cloud sandboxed dev env per task
Plans + codes + tests + debugs + PRs
Devin Review (standalone code review)
DeepWiki (codebase exploration)
SAML/OIDC SSO + dedicated infrastructure
Enterprise
Public API
Supported Partial Not supported No data

Security & compliance

Standard / controlDevinMainFunc
SOC 2
Type II
ISO 27001
GDPR
SSO / SAML
RBAC
Audit logs
Trains on customer data
No
Devin verified at cognition.ai

What users say

Devin

Reddit sentiment: Mixed
Notable customers

Nubank, Goldman Sachs, Anthropic, Y Combinator-backed startups

Frequently asked questions

What AI models do Devin and MainFunc use?+

Devin runs on Cognition proprietary models, GPT-5 family, Claude Opus + Sonnet. MainFunc runs on GPT-4o, Claude Opus 4.6, Claude Sonnet 4, Gemini 1.5 Pro, Custom fine-tuned models.

What is the main difference between Devin and MainFunc?+

Devin is positioned as best autonomous ai software engineer for large-scale migrations and refactors, while MainFunc is positioned as best platform for building and deploying custom enterprise ai agents. Pick the one whose strength aligns with your primary use case.

Which has better integrations, Devin or MainFunc?+

Devin integrates with GitHub, GitLab, Slack, Linear and 3 more. MainFunc integrates with REST APIs, GitHub, Slack, PostgreSQL and 2 more.

What are the main weaknesses of Devin and MainFunc?+

Devin's main drawback: best results require well-scoped tasks — vague prompts lead to off-track work. MainFunc's main drawback: best suited for engineering teams; requires technical configuration for complex agents.

Are Devin and MainFunc worth it in 2026?+

Both remain competitive coding options in 2026. Devin stands out for most autonomous coding agent shipped to date — handles full tasks end-to-end. MainFunc stands out for production-grade execution layer removes infrastructure burden from engineering teams. Choose based on which trade-offs fit your workflow and budget.