# Zustand Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/zustand
> Markdown URL: https://aitinkerers.org/technologies/zustand.md
> Technology record last updated: 2026-09-18T15:14:00Z
> Generated: 2026-09-23T00:43:53Z

A minimalist 1.1KB state management library for React that implements Flux principles through a simple, hook-based API.

Zustand (German for state) is a lightweight store maintained by the Poimandres (pmndrs) collective. It bypasses the boilerplate of Redux and the re-render pitfalls of React Context: you define a store with a single create call and access it via hooks. For example: const useStore = create((set) => ({ count: 0, inc: () => set((s) => ({ count: s.count + 1 })) })). This library handles transient state updates efficiently and is utilized by engineering teams at Vercel and Shopify. It remains a top-tier choice for developers who value speed, small bundle sizes, and clean code architecture.

- Official technology site: https://docs.pmnd.rs/zustand/getting-started/introduction
- Public AI Tinkerers demos and talks: 4
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Orchestrating attention with human-on-the-loop](https://seattle.aitinkerers.org/talks/rsvp_yjRZexQA3q8)

I built a new notification paradigm in https://comment.io, the Multiplayer Markdown Editor, that helps orchestrate not just agents but the people who work with them

- Event context: AI Dev Tools Track - Seattle - July 13 — 2026-07-14 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_yjRZexQA3q8

### [An RTS-Style Interface for AI Agents and Codebases](https://berlin.aitinkerers.org/talks/rsvp_n4kJ2vGsbwA)

A desktop app that renders your codebase as a 3D city -- files become buildings, directories become districts. It picks up Claude Code, Codex and Opencode telemetries locally and animates agents flying through the scene as they read, write, and edit files. All local-first -- no data leaves your machine.

- Event context: AI Tinkerers Berlin Meetup - March 11, 2026 — 2026-03-11 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_n4kJ2vGsbwA

### [The Full Playbook Journey: Form-to-AI Pipeline](https://prague.aitinkerers.org/talks/rsvp_fV-_hHjy-jk)

A complete walkthrough of how minimal form inputs transform into comprehensive sales playbooks through AI generation. The demo follows this flow: 1. Profile Step - Basic information (name, job title, company, target segments) 2. Sales Info Step - Methodology selection (BANT, MEDDIC, SPIN, etc.), sales cycle length 3. Playbook Upload (Optional) - Drag-and-drop existing playbook for AI enhancement 4. Gap Fill Chat - AI interviews user to fill missing information naturally 5. Methodology Details - Value proposition, pricing strategy, sales channels 6. AI Processing - Real-time progress as AI generates the 6-phase playbook 7. Review & Edit - Markdown preview with inline editing 8. Export - Download final playbook as Markdown

- Event context: ❄️ AI Tinkerers Prague – February Meetup — 2026-02-19 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_fV-_hHjy-jk

### [Context Engineering for Stateful AI Agents](https://toronto.aitinkerers.org/talks/rsvp_1VzyoCDOYIk)

As AI agents move beyond single-turn interactions, context engineering becomes critical to building experiences that feel coherent, personalized, and truly intelligent. In this talk, we explore context engineering as the practice of dynamically assembling and managing information within an agent’s context window to enable stateful, multi-turn AI systems. We introduce two foundational concepts: Sessions, which capture the short-term history of an ongoing conversation, and Memory, which provides long-term persistence across conversations. Through hands-on codelabs using the Agent Development Kit (ADK), you’ll learn how to: Manage conversation history within a session to create coherent, multi-turn interactions Design and control working memory so agents can reason with evolving context Extend agents with long-term memory that persists across sessions, enabling personalization over time By the end of the session, you’ll have a practical framework, and working code, for building AI agents that don’t just respond, but remember, adapt, and evolve.

- Event context: AI Tinkerers Toronto - January 2026 Meetup at Google! — 2026-01-29 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_1VzyoCDOYIk

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