Reimagine Product Development: Matter in Action

Name: Reimagine Product Development: Matter in Action
Uploaded: 2025-12-17T06:15:50.000Z
Duration: 1 h 8 min
Channel: JetBrains

JetBrainsDecember 17, 20251h 8m

Topics43

Introduction and Fast-Track Access0:09 Speaker Introductions1:01 JetBrains Background and AI Adoption Statistics3:30 Personal AI Tool Experiences4:31 AI Impact on Product Development10:36 Industry Examples12:30 Matter Demo Setup14:01 Repository Mirroring and Safety18:01 GitLab and Self-Hosted Support19:31 NPM Token and Private Registry21:00 Team Collaboration Features22:31 Environment Setup Process23:31 Matter Interface and First Task26:32 Adding Login Button30:32 Component Library Integration32:31 Reusing Existing Components vs Creating New Ones33:01 Import from Figma Feature34:01 Why Figma Remains Useful35:00 Hover Effects and Component Reuse36:31 Design Matching and PR Creation38:32 GitHub Pull Request Workflow39:31 Preview Value for Developers41:00 Live Preview and Collaboration Features42:00 Workflow Summary43:30 Product Manager Workflow44:00 Live Preview for User Validation45:30 Development Speed Improvement46:02 Preview Link Access and Security47:00 Virtual Machine Hibernation and CDN Deployment49:00 Project Type Support50:01 Database and Docker Support51:01 Guidelines Feature54:31 Collaboration Design Philosophy56:00 Communication Improvement57:30 Context Preservation for Support58:32 Developer Workload Impact1:00:31 Code Quality and Reference Implementation1:02:02 Product Availability and Early Access1:04:52 Session Reflection1:05:31 Future Development Plans1:05:31 Compose Desktop Project Compatibility1:06:00 Technology Compatibility Considerations1:06:31 Final Remarks1:07:01

In a Nutshell

Matter is a JetBrains AI tool that lets product managers and designers work directly with existing codebases through chat and live preview, turning ideas into GitHub pull requests in minutes. It creates safe mirrored environments, reuses existing components, and accelerates product development 3x by eliminating the traditional handoff between design tools and code. The core value is seamless team collaboration where non-developers can iterate on real UIs and validate with users before developers review and merge changes.

AI-Generated Notes

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Matter is a VIP coding tool designed for existing codebases. Everyone who joins the waitlist through the provided link receives fast-track access to the early access program. Questions can be asked in the chat and will be addressed during the Q&A session.

Elena serves as product manager at Matter with a research and marketing background. She focuses on early-stage product development where figuring things out and bringing something new to the world is essential.

Anton Sukhanoshinka is Matter's tech lead with over a decade of fullstack web development experience. He enjoys exploring complex problems, understanding technical details, and blending technical knowledge with design and UX skills to achieve optimal outcomes.

Vladimir Petachkov works as Matter's product designer. He finds it significant that Matter is among the first JetBrains products to treat designers and product managers as core users alongside developers.

Yan Nicholas Wman serves as developer advocate for AI at JetBrains, having previously done developer advocacy for web and consulting work for Fortune 500 companies.

JetBrains has been building tools for software developers for 25 years with millions of customers, providing a unique perspective on AI integration in development pipelines.

GitHub Copilot usage grew from 1.2 million users in 2022 to 37 million users by the end of 2024. Research indicates 70-97% of developers now use AI tools for coding-related tasks.

Anton began using AI in 2023 with ChatGPT 3.5, having previously used Copilot as an autocompletion tool in 2022. He initially used ChatGPT to generate code snippets for a Google Firebase pet project and later adopted Claude Code for daily work due to its powerful terminal-based UI.

Yan Nicholas started with Claude during its rise and moved to agentic usage, finding it valuable for spinning up demo projects quickly. He uses AI to challenge personal biases and gain outsider perspectives as a verification step.

Vladimir began with ChatGPT for writing help and brainstorming, then explored no-code AI tools like CL, GZ, and Lovable. After trying developer-oriented tools like Cursor, he experienced data loss when the "apply all changes" button deleted work, highlighting the importance of understanding Git.

Elena heavily uses AI for document creation, brainstorming, and research with Claude Code or ChatGPT. She started prototyping with AI a year ago, initially struggling with Cursor due to lack of coding background, then successfully used Lovable to create prototypes and visualize ideas independently.

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Reimagine Product Development: Matter in Action

Introduction and Fast-Track Access00:09

Speaker Introductions01:01

JetBrains Background and AI Adoption Statistics03:30

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