

Highlight 1
Local execution avoids the overhead and complexity of cloud container setups.
Highlight 2
Smooth integration with JetBrains IDE features like go-to-definition and auto-imports improves accuracy and developer trust.
Highlight 3
Lightweight git worktree setup makes it easy to review, merge, or discard AI-generated code, enhancing developer workflow efficiency.

Improvement 1
Broader IDE compatibility (beyond JetBrains) could increase adoption across different developer ecosystems.
Improvement 2
More guidance and in-IDE tutorials for first-time users would reduce onboarding friction.
Improvement 3
Support for collaborative workflows (e.g., team code reviews with AI agents) could make the product more appealing in enterprise contexts.
Product Functionality
Expand support for multiple IDEs beyond JetBrains to reach a broader audience of developers.
UI & UX
Introduce interactive onboarding inside the IDE, with tooltips and example workflows to help users get started quickly.
SEO or Marketing
Enhance the website with case studies, video tutorials, and developer testimonials to improve visibility and credibility.
MultiLanguage Support
Offer documentation and plugin interface in multiple languages (e.g., Spanish, Chinese, Japanese) to attract a global developer base.
- 1
How is Firebender different from Cursor or OpenAI Codex?
Firebender runs locally in a lightweight git worktree within your IDE, avoiding the need for cloud container setups and complex syncing.
- 2
What models can I use with Firebender?
You can connect any frontier model such as GPT-5 or Sonnet-4 as the underlying AI for your background agent.
- 3
How do I start using Firebender?
You can download the plugin from firebender.com and follow the quick start guide at docs.firebender.com to set up background agents.