The demand for coding tools fueled by AI has exploded – with open source alternatives now competing with commercial solutions such as the cursor in functionalities, flexibility and privacy. If you are looking for a powerful, profitable and open source code assistant, consider these best choices for 2025:
1 and 1 Zed
ZED is an effective high performance effective code editor designed for both humans and IA collaboration. Built by the creators of Atom and electron, it offers a transparent multiplayer modification, an AI support and a dark and dark user interface. It takes place gently on Mac, Linux and Soon, Windows, and is optimized for speed with an acceleration of rust and GPU.
2 Pearai
Pearai combines your favorite AI models – like GPT -4, Claude and its own internal model – in a single intuitive editor. It aims to maximize the coding speed, the fixing of the bugs and the innovation. The all-in-one publisher of Pearai guarantees that you never have to juggle several tools while providing a robust IA cat and quick capacity.
3 and 3 Cody
Cody is ideal for developers who manage large or complex code bases. He acts as a member of the experienced team – able to answer questions about your project, write new code, reporting bugs and provide insightful recommendations where you work. Large companies already count on Cody for improved productivity.
4 Empty
Void is undoubtedly the most cursor open source solution, but with a strong focus on confidentiality and control. Built on the VS code, it allows you to self-heberge AI models, keep your entirely local code and take advantage of a rich AI cat, code suggestions and compatibility with VS code themes, which makes it perfect for developers who care about safety and flexibility.
5 Continue
Continue is an AI flexible and open source assistant extension for popular publishers like VS code and Jetbrains. It supports integration with several AI models (Claude, GPT-4 and Plus), allows you to build personalized assistants and allows code cat and self-automatic powered by the administrator. Perfect for personalized work flows and maximize the flow of developers.
6. Tiger
Tabby is an Open-Source Auto-Hébergée coding assistant. It uses advanced automatic learning for context suggestions and can be carried out directly on your machine. With confidentiality as a top priority, Tabby provides intelligent help on AI without sending your data to third parties. It fits perfectly with your coding workflow and is ideal for developers and solo teams.
7 Pythagoras
Pythagora transforms ideas into backend code with a minimum of agitation. Its open source AI helps you describe what you want, writes the initial code and integrates directly into your battery. Ideal for rapid prototyping and products on products, Pythagora authorizes new and experienced developers.
8 Assistant
Helping is an AI assistant based on a terminal deeply integrated into your workflows and your Git. Support more than 100 languages, it helps you write, modify and debug the code through conversations in natural language, which makes it perfect for people who prefer command lines and need a powerful understanding of the code.
9. Roo code
Roo Code stands out by offering Multi-Fichiers AI edition, agent worksflows and robust confidentiality options. It transforms the VS code into an intelligent IDE, allowing AI agents to reason on an entire code basis rather than unique files and to provide advanced offline capacities for organizations concerned about safety.
| Tool | Open source | AI support | Confidentiality / self-host | Integration of the publisher | Notable characteristics |
|---|---|---|---|---|---|
| Zed | Yes | Yes | Yes | Native | Rust-core, fast, collaboration |
| Pearai | Yes | Yes | Yes | Native | Multi-ai, online cat |
| Cody | Yes | Yes | Yes | Multiple | Complex projects, q & r |
| Empty | Yes | Yes | Complete | VS based on code | Confidentiality themes, vs codes |
| Continue | Yes | Yes | Yes | Vs code / jetbrains | Personalized ais, productivity |
| Tiger | Yes | Yes | Complete | Multiple | Local models, suggestions |
| Pythagoras | Yes | Yes | Yes | Multiple | Backend code generation |
| Assistant | Yes | Yes | Yes | Terminal | Git-integration, nlu |
| Roo code | Yes | Yes | Complete | Vs code | Multi-fichiers, agent workflows |
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Michal Sutter is a data science professional with a master's degree in data sciences from the University of Padova. With a solid base in statistical analysis, automatic learning and data engineering, Michal excels in transforming complex data sets into usable information.
