Design systems news

But people are notoriously bad at understanding chaining events. Users should be able to view a feed of posts from people they follow. Your experience should guide the conversation, showing a clear understanding of how different tools and systems can be configured in real-world scenarios to meet specific requirements. One item which is to push posts for a user with 1M followers is dramatically more work than the one which is only to push to 1k followers.

I’ve given up trying to predict how people will unpredictably respond. Maybe people will get this with AI-based workflows. Maybe because they’re more tangible. I also see attention towards agent effectiveness means we put less attention to how it works for people. These tools make measuring agent effectiveness really easy.

Default to a modular monolith where domain boundaries are stable; carve out microservices for components with different scaling curves or release cadences. Industry press indicates Cloudflare has repeatedly mitigated “largest-ever” events in 2025. Coverage notes rising AI cost visibility and a persistent push to reduce waste via workload optimization and tagging/ownership conventions. Microsoft’s CEO said 20–30% of code in company repos is now written by AI (“written by software”). Google Cloud’s 2025 DORA research reports ~90% of technology professionals using AI at work (up 14 points YoY), with a median of ~2 hours/day spent in AI tools.

How DeepSeek Runs 380,000 Agent Sandboxes at Once

Initially built on the traditional monolith, Shopify transitioned to a modular monolith to overcome its drawbacks, resulting in 99.999% uptime during the Black Friday sale in 2023. A monolith architecture builds an application as a single deployable unit responsible for all operations—how older systems were traditionally designed. https://corporatenex.com/tech-leaders-share-leading-edge-approaches.html?noamp=mobile You can explore the System Design of Bluesky’s social network to understand how a decentralized system works and what features it offers. In centralized distributed systems, where a single entity controls everything and can have decision-making power, decentralized systems are getting more attention. Unlike traditional centralized models, edge computing processes data locally, reducing latency and bandwidth costs, and enabling efficient performance even in low-connectivity environments.

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What does a design system look like within a culture that puts quality over quantity? I don’t think those two realities are unrelated. With agents it’s easy to close your eyes, add things and hope for the best without thinking about it. Velocity may be less of an issue and agents may prove effective at reducing paper cuts. But I catch myself going too far relying on hard rules and formulas. They made sense given the specific situation those companies were in.

Hybrid approaches that combine edge performance with server-side safety checks will likely emerge as the practical middle ground. Instead of sending all data to central servers for ranking, models can run locally on user devices, enabling personalization without data leaving the device. Several trends will significantly influence how feeds are designed and operated in the coming years, creating both challenges and opportunities for engineering teams.

AI agent automates PPA-driven RTL generation

What appears to users as a simple scrolling list actually emerges from multiple distributed components working in careful coordination. Data integrity requirements prevent duplicate content from appearing in https://www.mlb4s.com/category/mobile-application-development/page/25 feeds and ensure no posts are mysteriously missing due to race conditions or cache inconsistencies. The architecture must scale horizontally across servers, data centers, and geographic regions without introducing single points of failure.

Start with requirements (and scale facts)

But the core of design systems remain untouched by the robots—and they’re more important than ever. I’ve said it a million times and I’ll say it again—design systems are deep down a collection of rules and principles. Not the soft specs that designers give to engineers. Users can’t see the code, so UI is the only way for them to judge the quality of the app. AI helps people build quickly from scratch with almost no constraints.

• This guide walks you through the foundational principles, architectural patterns, and practical trade-offs that power modern news feeds at companies like Facebook, Twitter, and LinkedIn.
• At global scale with billions of users depending on feed availability, downtime creates immediate user impact and potential revenue loss.
• FreeCodeCamp’s open source curriculum has helped more than 40,000 people get jobs as developers.
• A well-structured System Design roadmap helps candidates prepare systematically for System Design interviews.

We’ll use a timestamp as a “cursor” to represent the oldest post they’ve seen so far, so each page will return N posts older than that timestamp. Since our requirements are to return posts in reverse chronological order, when users page through their feed they’ll be looking at older posts. We’ll leave the content empty to account for rich content or other structured data we might want to include in the post. This also helps us to understand the data model we’ll need to support the functional requirements later.

• A/B testing engagement rates provides clear metrics, but measuring well-being or information quality proves more challenging and subjective.
• We’d be dumb to rush into a reality we’ve stubbornly resisted without understanding why.
• The problem is what happens when a metaphor built for a one-sentence explanation gets asked to carry an entire discipline’s worth of nuance.
• Many engineers approach System Design reactively.
• Once your system begins operating at scale, failures stop being rare events and become part of everyday life.

Now imagine working on software that no one fully understands with a design system that no one fully understands… I cannot overstate how destructive this is to quality. I believe a lot of the challenges we’re seeing in the current generation of software comes down to this very issue. There’s no reason a design system can’t help deliver great plain text websites. I think it’s time to take accounting into just how much weight we’re adding to the product through these choices. I don’t care how much better the developer experience is.