/ THE FEED /
Deep, recent reads ranked by depth and freshness.
01Fly.io · migration
Fly.io replaced a custom JuiceFS-based filesystem for their Sprites infrastructure with the Sprites Block Device (SBD) to eliminate complex, out-of-sync metadata ledgers. SBD presents object storage as a block device over NBD, allowing standard ext4 to manage the filesystem and simplifying checkpoints and restores. The result is significantly improved reliability and a much simpler storage architecture.
DEPTH ■■■■■6 min read3 days ago
02Figma · tooling
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
03Figma · tutorial
This post explains how to provide the Figma agent with proper context through design libraries, explicit guidelines, practical examples, and reusable skills to produce accurate outputs. By connecting libraries and defining rules, teams can ensure the agent uses approved components and follows design patterns. Reviewing agent outputs helps teams identify missing context and refine their libraries and guidelines.
DEPTH ■■■■■6 min read2 days ago
04Figma · tooling
The Coinbase Design System team updated their Figma Code Connect mappings to improve agentic design-to-code workflows. By providing agents with better component context, the team reduced token costs by 22.5% and implementation time by about 22% while eliminating common hallucinations.
DEPTH ■■■■■5 min read7 weeks ago
05Figma · practice
To drive team-wide AI adoption beyond isolated power users, several companies introduced collaborative team rituals such as peer-led study groups, process-focused sharing forums, cross-disciplinary training, and prototype-first critiques. These forums helped bridge knowledge gaps, reduce intimidation, and build consistent habits. As a result, teams were able to move from individual experimentation to collective AI usage.
DEPTH ■■■■■7 min read2 weeks ago
06Figma · tutorial
A fictional designer at Offtrail updates a permission settings flow using the Figma agent to handle repetitive maintenance, compliance checks, and component specs. By offloading busywork and context gathering to the agent, the designer focuses on feature logic and design decisions while keeping outputs connected in a shared canvas.
DEPTH ■■■■■8 min read2 weeks ago
07Figma · tooling
Design systems often suffer from maintenance overhead like documentation debt, naming inconsistencies, and drift between product screens and libraries. The Figma agent automates these upkeep tasks by drafting specs, auditing token and component usage, and bulk-replacing disconnected elements. This reduces manual toil and helps teams keep their design systems aligned with product work.
DEPTH ■■■■■5 min read2 weeks ago
08Figma · architecture
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
09Figma · tooling
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
10Figma · tooling
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
