Fei - 2026 Pricing, Features, Reviews & Alternatives

Fei is an AI-native product development platform with two surfaces: Fei Studio, a cloud-based web workspace, and Fei IDE, an editor extension deployable in Cursor, VSCode, or any compatible fork. Product managers, designers, and engineers collaborate directly on a live codebase by submitting prompts, screenshots, or Figma files. Each task triggers up to 40+ orchestrated internal agent steps that produce production-ready code, clean pull requests, and full spec documents, all aligned to the team's existing codebase conventions, design systems, and component standards. No workflow changes are required; the platform connects directly to existing Git repositories, Figma files, and Jira or Linear tickets.

At the core of the platform is the Agentic Context Engine (ACE), which indexes repositories, specifications, and design files, then maps CSS conventions, API patterns, hooks and events, third-party libraries, project architecture, and rendering configuration in under two minutes. ACE builds a structured internal model of the product and codebase, capturing component boundaries, relationships, and behavioral cues across code, APIs, configuration, and UI surfaces. This enables multi-agent reasoning that maps intent to the correct files and components, even across large, legacy, or fragmented codebases. Supported workflow functions include creating new pages and elements, changing layouts, adding UI functionality, creating and adjusting components, adding validations, adjusting flows, fixing UI logic, adjusting content and microcopy, and adding tooltips and walkthroughs. Variant generation supports A/B testing, feature flags, user roles, personalization, and alternate flows.

Fei serves small, mid-market, and enterprise organizations, including teams in regulated industries. An enterprise deployment option runs entirely within the customer's own infrastructure, ensuring no code or data leaves the environment. The platform is SOC 2 Type II certified and supports custom security and compliance configurations, data residency controls, access permissions, and full auditability at every layer. Pricing is structured per task, not per seat or per agent step, and the platform is trusted by 160+ product teams across software, SaaS, and enterprise technology organizations.