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Comparison

Devin vs OpenHands

Devin and OpenHands both land on Depends.

Devin

Depends
Confidence: High

Buy if you run a large engineering org drowning in backlog or security debt and can stomach usage-based pricing.

OpenHands

Depends
Confidence: Medium

Buy if you're an engineering team that wants self-hosted, model-agnostic agents and can absorb token costs plus security setup.

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Devin versus OpenHands
CompareDevinOpenHands
VerdictDependsDepends
Best forLarge engineering orgs with backlog debtEngineering teams automating repo chores
Who it's not forSolo devs and small teams . massive overkillSolo devs who just want editor autocomplete
PrivacyPublic prompt-injection and secret-leak research exists (2025); Cognition now ships Security Swarm and a vulnerability remediation program.⁷Security program exists (sandboxing, action confirmation, policy integrations), but tracked CVEs . including command injection . matter for a tool that executes code autonomously.
Support qualityNo evidence foundNo support-quality evidence found.
Public sentimentDevelopers praise Devin's code review and speed gains but consistently warn that outputs need close human supervision.10Users like that it's fully open source and model-agnostic, but reviews split on results, which depend heavily on the model powering it.
Biggest gotchaDevin Review consumes ACUs . every automated review adds compute cost, so watch the meter¹CVE-2026-33718 (command injection): isolate sandboxes and review every agent action.

Pick Devin when

  • Large engineering orgs with backlog debt
  • Security teams clearing vulnerability backlogs
  • Multi-repo code-review automation
  • Enterprises running parallel agent fleets

When Devin is not a fit

  • Solo devs and small teams . massive overkill
  • Anyone wanting a cheap autocomplete copilot
  • Teams that can't monitor usage-based ACU spend
  • Buyers needing predictable flat monthly pricing

Pick OpenHands when

  • Engineering teams automating repo chores
  • Enterprises needing self-hosted, policy-controlled agents
  • Teams bringing their own LLM keys
  • Open-source shops avoiding vendor lock-in

When OpenHands is not a fit

  • Solo devs who just want editor autocomplete
  • Anyone running small local models on modest hardware
  • Non-technical teams expecting no-code results
  • Teams unwilling to sandbox and review autonomous changes

Sources

  1. official
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  16. Did the makers of Devin AI lie about their capabilities?machine-learning-made-simple.medium.com
    news