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Deep, recent reads ranked by depth and freshness.

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  1. 01Figma · tooling

    How Lufthansa Systems prototypes realistic maps for the cockpit with Figma Make

    Lufthansa Systems struggled to build realistic, dynamic map prototypes for cockpit navigation apps using traditional static design tools. The team experimented with Figma Make during an internal hackathon to integrate external data sources like Mapbox and the OpenSky Network into their designs. As a result, designers successfully tested interactive map features and complex flight traffic data with pilots prior to writing production code.

    DEPTH ■■■■■8 min read3 days ago

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  2. 02Tailscale · tutorial

    It's time to make your own RSS reader

    This post walks through the process of self-hosting a personal RSS reader using FreshRSS and Docker, secured privately over a Tailscale network. The author details the configuration of environment variables, auth keys, and Docker compose deployment to avoid exposing the service to the open web. The result is a private, algorithm-free news reader accessible across multiple devices and integrable with external reading apps or AI agents.

    DEPTH ■■■■■10 min read9 days ago

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  3. 03Tailscale · architecture

    Your agent, your network: How Meta’s Muse agent works with Tailscale

    Meta integrated Tailscale into its Muse personal AI agent, allowing the agent to join a user's tailnet as a separate node and interact with self-hosted services and SSH sessions. By treating Muse like any standard tailnet node, users can apply Tailscale's access controls, grants, and tags to enforce security and adhere to the principle of least privilege.

    DEPTH ■■■■■5 min read3 weeks ago

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  5. 05Figma · architecture

    Behind the build: Generative plugins and shaders at Figma

    Figma developed generative plugins and shaders by replacing a prototype WebGL system with an enterprise-scale WebGPU pipeline, sandbox isolation, and custom UI kits. Through rapid prototyping and cross-functional collaboration, the team shipped the feature suite in two months for Config.

    DEPTH ■■■■■8 min read7 weeks ago

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  6. 06Figma · tooling

    How do you actually measure the impact of AI on design?

    Figma conducted a multi-year research project to track the impact of AI on product design by building an AI sentiment index and running hundreds of AI-moderated interviews. To process the massive volume of qualitative data, the team engineered a custom thematic analysis tool and an internal dashboard to serve as a cross-functional source of truth. The results showed that AI's impact on workflows and collaboration nearly doubled over three years.

    DEPTH ■■■■■6 min read8 weeks ago

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  7. 07Figma · tooling

    Workflow lab: Moving between design and code with agents

    A fictional engineering team struggles with AI-generated code that frequently strays from design specifications. By integrating Figma dev tools, an MCP server, and Code Connect into the workflow, the developer provides the coding agent with accurate design context and existing components. As a result, the agent produces production-ready code that matches design intent and reduces rework.

    DEPTH ■■■■■6 min read8 weeks ago

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