Streamline development by organizing and generating code with a team-based snippet library powered by AI models like GPT-4 and Claude for faster refactoring.
Firebender
Build Android apps faster with an AI-native coding agent that writes features, tests in emulators, and converts Figma designs directly into Jetpack Compose.
$30/mo

About Firebender
Firebender is an AI-powered coding agent specifically designed for Android development, integrating directly into Android Studio and IntelliJ. Unlike general-purpose AI coding assistants, it is built to understand the unique complexities of the Android ecosystem. It acts as an autonomous agent that not only writes code but also interacts with the Android emulator to test features and uses internal tools like the debugger and Logcat to identify and fix issues automatically. This deep integration allows the agent to ship production-ready code with higher confidence by observing how the app behaves in real-time. The platform offers a suite of specialized tools, including a Figma-to-code converter that transforms design links into production-ready Jetpack Compose code while adhering to a project's existing design system and components. Developers can leverage "Composer mode" for complex architectural tasks, use inline rewrites via Cmd+K for quick adjustments, or even control their IDE through voice commands. For team-specific needs, Firebender supports custom agents via agent.md files, allowing teams to define specific system prompts, coding standards, and autonomous workflows that match their internal codebase and preferences. This tool is tailored for professional Android engineers, tech leads, and mobile development teams at organizations ranging from startups to large enterprises. It is particularly beneficial for those who want to eliminate boilerplate tasks, accelerate UI development from design mocks, and maintain high code quality through automated testing. Enterprise-level users benefit from SOC 2 Type II and ISO 27001 certifications, ensuring that proprietary code is never used for model training or stored permanently after processing. What sets Firebender apart is its Android-native approach and its model-agnostic architecture. While many competitors are general-purpose, Firebender’s specific focus on the Android toolchain—including the emulator and refactor tools—provides a more context-aware experience. Additionally, it avoids model lock-in, allowing users to switch between frontier models like Claude 3.5 Sonnet, GPT-4o, or Gemini 1.5 Pro, or even bring their own API keys, providing the flexibility to use the best model for any specific task.
Firebender pros & cons
Pros
- Deeply integrated with Android-specific tools like Logcat and the debugger for automated bug fixing.
- Allows users to switch between multiple frontier models or use their own API keys for maximum flexibility.
- Ensures high enterprise security standards with SOC 2 Type II and ISO 27001 certifications.
- Enables rapid UI prototyping by converting Figma links directly into functional Jetpack Compose code.
- Supports massive parallelization of code changes through specialized sub-agents in Heavy mode.
Cons
- Advanced features like custom agents and Compose UI tools are restricted to paid subscription tiers.
- The primary functionality is limited to Android Studio and IntelliJ IDEA environments.
- The free Hobby plan includes limited agent and autocomplete requests, which may be insufficient for professional work.
- High-tier usage for frontier models like Claude Opus requires expensive plans like Developer+ or Ultra.
Firebender use cases
- Android UI developers can paste Figma links into the IDE to generate production-ready Jetpack Compose code, saving hours on manual layout coding.
- Senior Android engineers can create custom agents with agent.md files to enforce team-specific coding standards and automate repetitive architectural tasks.
- Mobile development teams can use sub-agents in parallel to perform massive codebase migrations or refactors in minutes instead of days.
- QA and stability teams can leverage the agent's ability to run code in the emulator and check logcat to automatically identify and resolve application crashes.
- Individual developers can use Voice mode to describe complex logic or refactors when they want to think out loud or have their hands busy.
Firebender features
- inline code rewriting with cmd+k
- parallelized sub-agents for large changes
- voice-controlled ide commands
- no model lock-in (claude, gpt, gemini)
- custom agents via agent.md files
- integrated android studio debugger support
- autonomous emulator interaction
- figma to jetpack compose conversion
Firebender pricing
Is Firebender free? Yes, Firebender has a free plan, and paid plans start at $30 / month.
Hobby
Free
- Limited agent requests
- Limited autocomplete requests
Developer
$30 / month
- Unlimited autocomplete
- Extended agent requests
- Maxed context windows
- Android compose UI tools
- Custom agents and subagents
- Intellij refactor tools
Business
$60 / user/month
- Team usage analytics
- Central billing
- SSO SAML / OIDC
- Model controls
- Per member limits
Developer+
$75 / month
- Everything in Developer
- 2.5x usage on all OpenAI models
- 2.5x usage on all Claude models
- 2.5x usage on all Gemini models
Ultra
$150 / month
- Everything in Developer
- 5x usage on all OpenAI models
- 5x usage on all Claude models
- 5x usage on all Gemini models
Enterprise
Price varies
- Everything in Business
- Custom usage limits
- Dedicated support
- Advanced security controls
- PO and invoicing
- Custom service agreements
Firebender FAQs
What makes Firebender different from general AI assistants?
Firebender is specifically built for Android, integrating with the emulator, debugger, and logcat. This allows it to autonomously test the code it writes and fix issues based on real-time feedback from the Android environment.
Can I use my own AI model API keys?
Yes, Firebender supports bringing your own API keys for various models. You can also switch between the latest models like Claude, GPT, and Gemini directly within the IDE's model dropdown menu.
Does Firebender store my source code or use it for training?
No, Firebender does not store your code data or use it for training purposes. The tool follows a zero data retention policy and is SOC 2 Type II and ISO 27001 certified for security.
How does the Figma-to-code feature work?
You can paste a Figma link directly into Firebender to generate production-ready Jetpack Compose code. The generated output is designed to work seamlessly with your existing components and design systems.
Who owns the code generated by the AI?
You own all the code generated by Firebender, regardless of your subscription plan. This includes the rights for commercial use, meaning you can use the output in any of your private or professional projects.
Ratings & reviews
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