AI software development platform focused on coding agents and large-scale codebase work for engineering teams.
Magic is aimed at developers who want AI assistance specifically for large-scale software development and codebase work. The workflow is centered on software rather than general chat: users provide a repository, issue, design, data context, or natural-language requirement and receive code, analysis, review feedback, or application changes. It is most useful when the task has a clear engineering outcome and the developer can inspect the generated result before shipping it.
Magic focuses on large-scale software development and codebase work. It is designed around concrete development inputs rather than generic conversation, so the useful starting point is usually a codebase, pull request, issue, design, data environment, or written requirement. Its output depends on the selected workflow and can include code changes, review findings, debugging help, or a working application.
The main reason to consider Magic is the way it fits into a developer's existing workflow. It can reduce repetitive implementation or review work, but it does not remove the need for testing and human review. Developers should check generated changes, permissions, dependency choices, and security implications before merging or deploying code.
Reduces repetitive engineering work
Keeps development context closer to the task
Speeds up first-pass implementation or review
Helps developers investigate unfamiliar code
Paid
Magic uses a paid model. Pricing, usage limits, model access, and included credits can change, so current terms should be checked on the official site.
Developers and engineering teams that regularly need help with large-scale software development and codebase work.
| Developer | Magic |
|---|---|
| Launched | 2022 |
| Platforms | Web, Api |
| Languages | English |
| API available | Yes |
| Open source | No |
