VulX provides an app care platform that works alongside coding AI assistants, keeping requests, work, and checks together in one unified thread. The platform gives developers a clear handoff from ask to review, with app context preserved even as the application evolves. It centralizes AI updates, user feedback, and results for streamlined oversight.
Funding
Funding not disclosed
Founders
Product
Problem
Developers using AI coding assistants often lose track of what was requested, what the AI changed, and whether the results were properly reviewed. This fragmented workflow creates confusion, reduces accountability, and makes it difficult to maintain context as applications evolve through multiple iterations.
Solution
VulX provides an app care platform that works alongside coding AI tools, keeping requests, work, and checks together in a single, unified thread. The platform maintains a clear handoff from ask to review, allowing developers to see exactly what changed and decide what comes next. It organizes requests and results into one followable thread, preserving the original ask, AI updates, and user feedback in the same place. VulX also maintains app context so that useful details remain accessible even as the application continues to change, ensuring developers always have the full picture during review.
Target Audience
Primary users are software developers and engineering teams who rely on AI coding assistants and need structured oversight of AI-generated changes to their applications.
Features
- Unified request-and-result thread that keeps the original ask, AI updates, and feedback in one place
- App context preservation that maintains relevant details as the application evolves
- Clear handoff workflow from request submission through AI execution to human review
- Interactive product walkthrough with example content for simplified onboarding
- Change visibility that shows what the AI modified so developers can make informed decisions