Objections & Comparison
Detailed answers to objections regarding security, offline modes, command approvals, and competitor features.
What makes Orbit different from Cursor or other general AI IDEs?
Unlike general-purpose AI coding assistants that focus solely on inline code completion or basic chats, Orbit is specifically designed for complex, heterogeneous projects (such as mobile apps containing game engines, native bridge modules, and C++ audio cores). Orbit specializes in multi-agent planning, self-verification through local compilers/tests, and automatic generations of release artifacts, making it highly effective for specialized engineering domains like mobile game development.
Does Orbit train on my codebase or private data?
No. Orbit operates with strict privacy boundaries. We do not use your source code, indexing data, prompts, or terminal outputs to train models. Our commercial plans utilize zero-data-retention APIs from model providers, and you can configure local/offline models to keep indexing and reasoning entirely on-device.
Does Orbit execute terminal commands automatically? Is it safe?
Orbit can propose and run terminal commands to install dependencies, run compilations, or execute tests. However, all terminal operations are subject to your control. By default, every command must be explicitly approved by the user, and you can customize permissions to run safe commands (e.g., git status or local tests) without prompts, while restricting critical file write/exec actions.
Which technology stacks are supported?
Orbit works with any codebase, but it offers specialized workspace understanding and bridge-parsing for cross-platform frameworks, custom game engines (C# / C++), C/C++ audio pipelines, native modules, and web framework infrastructures like Next.js.
Can I use Orbit completely offline?
Yes. Orbit supports offline execution by integrating with local model servers (such as Ollama or Llama.cpp). You can configure local embeddings for codebase indexing and local LLMs for task planning and code edits. Online connections are only required for third-party cloud APIs (e.g., Anthropic, OpenAI) if you choose to enable them.
How do code review and human approval workflows work?
Orbit operates on a "Planning First" model. Before modifying files or committing code, the agent generates an implementation plan detailing the proposed edits. You review and approve the plan. After code edits, Orbit runs validation tests and generates a walkthrough showing diffs and test logs for your final approval.
What is the pricing model for Orbit?
Orbit is currently in Private Beta and is free to use for selected individual developers. For teams and enterprise users, we offer custom pricing models based on seat count and model provider utilization. Inquire via the "Request Demo" form to secure access.
Does Orbit support admin controls and audit logs?
Yes, in our Enterprise plan, admins can enforce custom security policies, configure shared model keys, monitor agent execution logs, and audit data routing to ensure strict corporate compliance.
Which AI model providers can I use?
Orbit supports Anthropic Claude, OpenAI GPT, Google Gemini, and local LLMs via Ollama/Llama.cpp. You can use your own API keys or leverage Orbit-provided endpoints with zero-data-retention agreements.
When is Orbit NOT a good fit?
Orbit is not a fit if you are looking for an un-monitored, fully autonomous agent to run in the background without human supervision. We prioritize safety and precision; Orbit is designed to co-pilot with engineers via structured plans and approval gates. It may also be overkill for simple single-page static HTML sites where inline completions (like standard Copilot) are sufficient.
When Orbit is a Fit
- •You have hybrid codebases (e.g., hybrid apps wrapping a native game view).
- •You are dealing with complex C++/native audio pipelines requiring strict verification.
- •You want a secure workflow where AI plans and writes code, but you control terminal executions and merges.
- •You need to generate test coverage, crawlers, and release evidence alongside code changes.
When Orbit is NOT a Fit
- •You want a fully autonomous bot running on your servers without human supervision.
- •You are building very simple single-page HTML/CSS sites (standard copilot tools are enough).
- •You do not want to review plans or approve changes before they hit your disk.
Feature Comparison
| Feature | Orbit | General AI IDEs | Inline Assistants |
|---|---|---|---|
| Multi-Agent Planning | Yes (Bespoke plans before edits) | Limited / Chat only | No |
| Native / Engine Bridge Context | Yes (Optimized for Hybrid & Game Engines) | Partial / Text search | No |
| Terminal Execution approvals | Yes (Strict user permission checks) | Auto / Prompt-based | No |
| Auto QA & Regression Crawlers | Yes (Generates tests & evidence) | No | No |
| Local / Offline Model Support | Yes (Through Ollama/Llama.cpp) | Yes (Some) | No |
| Zero Data Retention (ZDR) | Yes (Enterprise & Team plans) | Optional / Premium | No |