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Deep, recent reads ranked by depth and freshness.

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  1. 01Shopify · architecture

    We gave AI agents a mobile dev environment

    Engineering teams outgrew their local machines while running parallel AI mobile development agents, constrained by heavy builds and lack of iOS tools on Linux. To solve this, they built Remote Dev using warm pools of remote Macs connected via SSH alongside separate Linux VMs for Android virtualization, paired with agent skills and live browser streaming. This setup shifted workflow bottlenecks, increasing AI-merged pull requests from 6 percent to 61 percent.

    DEPTH ■■■■■9 min read3 days ago

    ArchitectureMobile

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  2. 02Shopify · architecture

    How Shopify turns open models into task experts

    Shopify uses a continual learning flywheel to post-train open models, such as NVIDIA Nemotron, to serve as dedicated subagents for specific tasks like GraphQL generation. By optimizing inference and utilizing automated self-healing to generate training data from production failures, the team successfully created task experts that outperform frontier models while reducing serving costs by 90-98% and improving response times.

    DEPTH ■■■■■5 min read4 days ago

    Architecture

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  3. 03Shopify · architecture

    Cross-store product clustering across millions of stores

    Shopify needed to group identical product listings from millions of different merchants under a single global identifier. To solve this at scale without comparing every possible pair, the team implemented a multi-stage pipeline using vector retrieval, a tiered scoring system of ML models, and a bounded graph clustering approach. This architecture successfully standardizes product data across the entire platform while controlling computational costs.

    DEPTH ■■■■■13 min read5 days ago

    Architecture

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  4. 04Shopify · tooling

    Building Overexposed: understanding application exposure

    The team built an automated scanner called Overexposed to track internet-facing services and verify access controls across Kubernetes and Cloud Run. By querying live cloud inventories and probing endpoints like an outsider, the scanner classifies exposure while avoiding false assumptions from static config files. As a result, the engineering organization improved accuracy and significantly reduced inconclusive findings over time.

    DEPTH ■■■■■8 min read5 days ago

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  5. 05Figma · 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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  6. 06Discord · architecture

    Safer for Teens, Same Discord for Adults

    Discord developed a privacy-preserving age assurance and estimation system to comply with expanding global regulations while keeping adult experiences unchanged. By analyzing account metadata and patterns rather than private messages, the system automatically classifies over 90 percent of users into age groups. Users can also verify their status through alternative methods like credit cards or platform app stores if automated classification is incorrect.

    DEPTH ■■■■■18 min read4 weeks ago

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  7. 07Shopify · architecture

    ShopGym: Realistic, reproducible sandboxes for shopping agents

    Training and evaluating shopping agents is difficult due to changing live store environments, bot detection, and limited hand-built test stores. The team developed ShopGym, a framework that converts live storefronts into self-contained, anonymized sandbox shops and generates benchmark tasks. Evaluation showed that synthetic shops preserve key structural properties and behavioral alignment with live stores, giving agents a reliable environment to practice and improve.

    DEPTH ■■■■■6 min read3 weeks ago

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  8. 08Figma · tutorial

    How to put your design system to work with the Figma agent

    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

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  9. 09Shopify · tooling

    Helix: The internal tool powering our Shopify app's native migration

    Shopify is migrating its mobile apps from React Native to native Swift and Kotlin using an internal LLM-powered tool called Helix. Helix breaks migrations down into small checkpoints and enforces strict quality gates covering behavior, UI equivalence, architectural compliance, and human review. This iterative loop allows the team to reliably generate and migrate hundreds of screens to native code.

    DEPTH ■■■■■8 min read4 weeks ago

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  10. 10Discord · performance

    Discord Update: September 25, 2026

    Discord released product updates including system-wide echo cancellation for Windows clients, along with various UI and feature changes. The engineering team also upgraded the React Native version for mobile and Electron for desktop, yielding measurable CPU and launch performance improvements. These updates aim to improve resource efficiency and overall application usability.

    DEPTH ■■■■■4 min read4 weeks ago

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  12. 12Shopify · migration

    Migrating Shop app from React Native to native

    Shop migrated its mobile app from React Native to native Swift and Kotlin by leveraging AI coding agents to accelerate the rewrite. The migration resulted in improved startup times, higher session stability, smaller Android app sizes, and smoother rendering performance.

    DEPTH ■■■■■5 min read6 weeks ago

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  13. 13Figma · practice

    4 team rituals that drive AI adoption

    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

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  14. 14Shopify · migration

    Native is now the future of mobile at Shopify

    Shopify is migrating its mobile applications from React Native back to native Swift and Kotlin. The team determined that the emergence of advanced coding agents significantly reduces the cost of maintaining platform parity, making native development the superior choice again. To execute this migration efficiently, Shopify developed a system called Helix and a CLI-driven, agent-addressable architecture to enable fast, autonomous testing.

    DEPTH ■■■■■10 min read6 weeks ago

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  15. 15Figma · tutorial

    Workflow lab: Staying in the flow with Figma’s agent

    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

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  16. 16Shopify · architecture

    How River takes security work from a fix to merge

    Shopify developed an AI agent named River to automate security vulnerability remediation from dependency upgrades to pull request merges. The agent validates live states, replays and repairs fixes on current repository heads, and escalates context-dependent decisions to human engineers. This workflow reduced the open issue backlog by about 70 percent and increased freshness-gated security merges significantly.

    DEPTH ■■■■■9 min read7 weeks ago

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  17. 17Figma · tooling

    How to lighten design system upkeep with the Figma agent

    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

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  18. 18Figma · 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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  19. 19Figma · 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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  20. 20Figma · 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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