Magic vs OpenHands
Two Coding AI tools, side by side. Both are verified against their own live sites. Here is what each does well and who it is for, so you can choose what fits.
Magic
www.magic.dev
Frontier code models to automate software engineering
Best forOrganizations exploring frontier models for large-context code automation
What it doesMagic builds frontier code models aimed at automating software engineering and research. Its approach combines frontier-scale pre-training, domain-specific reinforcement learning for code, and ultra-long context windows for handling large codebases and complex problems.
Capabilities
Visit Magic →- Frontier code models
- Domain-specific reinforcement learning
- Ultra-long context windows
- Inference-time compute optimization
OpenHands
www.openhands.dev
Open-source AI agents that complete engineering tasks
Best forDevelopers, platform teams, and enterprises automating engineering workflows, including on large or legacy codebases
What it doesOpenHands is an open-source, model-agnostic AI agent platform that executes engineering work across a codebase, taking actions in real environments rather than only suggesting code. It can fix vulnerabilities, review code, migrate legacy systems, and open reviewable pull requests.
Capabilities
Visit OpenHands →- Fixes vulnerabilities and opens reviewable pull requests
- Code review for quality and security
- Legacy system migration
- Root-cause error investigation
- Local, hosted, and self-hosted enterprise deployment
How to choose
Choose Magic if you are organizations exploring frontier models for large-context code automation. Choose OpenHands if you are developers, platform teams, and enterprises automating engineering workflows, including on large or legacy codebases. Both sit in Coding; the right pick depends on your exact workflow and budget.
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