Adam Hutchinson

Today, we’re evolving @StitchbyGoogle from @GoogleLabs into an AI design canvas transforms natural language prompts into production-ready front-end code. Some highlights from what’s new: 1. A complete redesign of the Stitch UI, which can now ingest multimodal references (text prompts, images, or code) as creative seeds for your design ideas 2. A brand new, context-aware design agent that can share feedback on builds, generate PRDs, and ask questions to better understand your vision. You can even talk to the agent if you prefer a verbal sounding board 3. A new agent-friendly markdown file, DESIGN.md, which you can use to export or import your design rules to or from other design and coding tools Whether you’ve been designing for decades or you’re whiteboarding your first software idea, Stitch can help you turn concepts into prototypes in minutes rather than days ➡️ stitch.withgoogle.com

1. Just asked @linear go through customer requests for a feature + make a project with PRD 2. Asked to create issues for the project 3. Select all, assign to Codex/Cursor 4. Review diffs + build previews in Linear 😎 (betas coming soon)

Agents should be part of every step of your product development process. Here's how @Linear does it: 1. Understand the problem Agents read every customer conversation, auto-create issues, de-dupe them against the backlog, and assign them to the right team. 2. Identify solution Agents pull insights from real customer data to help you draft and iterate on specs. 3. Make a plan Specs get broken into issues and routed to the right teams automatically. Agents now create the majority of Linear's tickets. 4. Execute Bugs and small features go straight to coding agents. For complex work, engineers launch Claude Code with full issue context via Linear MCP. 📌 Read my post for more on how to set this up: creatoreconomy.so/p/your-new-job…

You can't write a compelling promotion packet about the thing you didn't build. And that's the whole problem. terriblesoftware.org/2026/03/03/nob…