Firebender
Firebender · Coding · Marketing
Firebender is an AI coding agent that runs inside Android Studio and JetBrains IDEs. It plans multi-file changes, reads Compose previews, and pulls in MCP tools.
About Firebender
What Is Firebender
Firebender is a JetBrains AI plugin for Android Studio and the rest of the JetBrains family of IDEs. It puts a coding agent in the editor you already use instead of asking you to move to a new app or a terminal window. The team built it around Android work first, so Kotlin, Gradle files, and Jetpack Compose get treated as native material rather than generic text.
You describe the change you want and the agent reads your project, drafts a plan, edits files, runs commands, and reports back. It can also debug with runtime evidence from a connected device or emulator, which cuts down on guessing why a screen renders wrong.
The limits matter too. Firebender only lives inside JetBrains IDEs, so a VS Code or terminal-only workflow is out. There's no free tier, and the included usage on paid plans drains faster when you pick expensive models.
Getting Started
- Install Firebender from the JetBrains Marketplace while Android Studio or IntelliJ IDEA is open, then restart the IDE.
- Create an account at firebender.com and activate a plan, since autocomplete and chat stay locked until billing is set up.
- Open a file and press Ctrl + K for an inline edit, or Ctrl + L to open the chat panel and pick an agent mode.
- Describe the task in plain language and review the plan the agent proposes before you accept file edits.
- Check the diff, run the app, and keep the session going with follow-up messages when something needs another pass.
Product Information
A quick look at Firebender's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Android app developers
- Kotlin teams already on Android Studio
- Solo builders shipping side projects
Tasks
- Multi-file refactors
- UI work from a design file
- Crash triage
Scenarios
- Fixing a Compose screen that renders wrong on one device
- Adding a feature to a legacy Android codebase
- Onboarding onto an unfamiliar repository
Key features
Agentic Edits With a Plan Step
Firebender splits work into a plan and an execution pass. You see the intended file list and steps first, then approve the run. That extra checkpoint is the difference between a reviewable change and a pile of surprise diffs, especially on a refactor that touches a dozen files. Subagents and worktrees let it run parallel threads when a task splits cleanly.
Compose Preview Awareness
The agent reads your @Preview renders as it builds UI, so it sees the layout it just wrote instead of working blind. When a column overflows or a spacing value looks off, it can catch that before you compile. This is the feature that makes Firebender feel Android-specific rather than a general chatbot with a Kotlin prompt.
Codebase Navigation and Refactoring Tools
Firebender uses the IDE's language server to jump through symbols, find usages, and rename safely across the project. Multi-file changes land as real edits in the project model, not pasted text. The practical effect: fewer broken imports and less cleanup after the agent finishes.
Debug Mode With Runtime Evidence
Instead of reading a stack trace and guessing, the agent can attach to a running app, inspect state, and reason from what actually happened. It also runs terminal commands when a build or test needs to happen. You still make the call on the fix, but the starting point is evidence rather than a hunch.
MCP Integrations
Firebender speaks the Model Context Protocol, and the built-in directory covers Figma, Sentry, Crashlytics, Linear, Jira, Supabase, Notion, and RevenueCat. Wiring one up takes a few clicks. For an Android team, the most useful pairing is usually crash reporting plus issue tracking, since the agent can move from a stack trace to a ticket without you copying text between windows.
Model Choice and Bring Your Own Key
The model picker lists dozens of options from OpenAI, Anthropic, Google, xAI, and others, with context windows up to 1.1M tokens on the newest entries. You can let Firebender choose per task, pin a model for a chat, or plug in your own OpenAI, Anthropic, or Gemini key. Paying for usage out of pocket through BYOK is the cheapest route for heavy users.
Autocomplete, Inline Edit, and Voice
AI code completion handles the small stuff, including next-edit suggestions after you accept a change. Inline edit covers quick local rewrites without opening the chat panel. Voice input exists for the moments when typing a long prompt is slower than saying it out loud.
Pros and cons
Pros
- Android-first context: Compose previews, Gradle files, and Kotlin idioms are handled as first-class material, which shows up in the quality of generated UI code.
- Wide model roster with per-chat control, so you can spend on a strong model for architecture work and switch to a cheap one for boilerplate.
- MCP directory covers the tools Android teams already use, including Figma, Crashlytics, Sentry, and Linear.
- Plan step before edits makes multi-file agent runs reviewable instead of a blind accept.
- Team plans add SSO, per-member limits, and a zero data retention agreement on code.
Cons
- No free plan. The cheapest entry is $9/mo for autocomplete only, so you can't test the agent before paying.
- JetBrains only. There's no VS Code extension, no standalone app, and no terminal client, which rules out mixed-IDE teams.
- Firebender pricing is denominated in dollars at API rates, so premium models burn through a $30 allowance quickly.
- One account can't be shared across machines at the same time, and fixing that means a Business seat for each colleague.
Frequently asked questions
It's an AI coding agent for Android and JetBrains IDE projects. You describe a change, and it plans, edits files, runs commands, and debugs with runtime data from a device or emulator.
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