AI-powered search is changing how people discover and engage with content. Vercel shares how to adapt your SEO strategy for large language models (LLMs) and AI assistants by creating authoritative, structured content that works for both machines and humans. In this new era, it’s not just about being ranked; it’s about being referenced, cited, and trusted.
Optimization Insights
Apollo has introduced the Apollo MCP Server, a powerful new tool that enables AI systems like GPT and Claude to interact with APIs via GraphQL. This launch represents a pivotal step in merging LLM capabilities with real-world operations—turning APIs into usable tools for intelligent agents.
Built on the Model Context Protocol (MCP), Apollo MCP Server abstracts away direct API access, offering a declarative, deterministic, and policy-enforced interface that’s purpose-built for AI systems. Rather than wiring up custom MCP servers per API, teams can now use GraphQL as the orchestration layer, which simplifies access, improves efficiency, and ensures consistent behavior.
Why GraphQL fits perfectly:
This is especially powerful when combining Apollo Connectors, which transform REST APIs into GraphQL with zero backend changes. That means faster iteration for teams building AI agents, with no rewriting or re-platforming required.
Apollo’s approach reflects a growing pattern we’re seeing: AI-native integrations that prioritize GraphQL for scalability and developer velocity—while still meeting enterprise requirements for security, governance, and control.
Vite just got a major performance upgrade. The team has launched Rolldown-Vite, a drop-in replacement for the standard Vite package that swaps the JavaScript-based bundler for Rolldown—a next-gen bundler written in Rust. Rolldown is built on top of Oxc, a high-performance JavaScript toolkit, and aims to modernize Vite’s core infrastructure with dramatic improvements in speed and memory efficiency.
Real-world results speak for themselves:
Vite’s famously fast dev server isn’t going away—but as large-scale projects push ESM’s limits, Rolldown sets the stage for even faster full-bundle workflows. For plugin authors and framework maintainers, now’s the time to test and optimize for this Rust-powered future. Developers can start using rolldown-vite today by aliasing it in their package.json. It's fully compatible with most existing plugins, though some edge cases may need migration tweaks.
Storybook 9 introduces a unified testing experience with built-in support for interaction, accessibility, visual, and coverage tests from inside the UI. It's now 48% lighter, supports more frameworks (like Svelte 5 and React Native), and offers low-code story generation. Tags, themes, and locales can be customized per story, making design systems easier to scale and test across variations.
We’re especially interested in how this release can improve frontend velocity and onboarding. Faster feedback loops, lighter dependencies, and smarter workflows are just what many of our clients need to reduce tool sprawl and stay consistent across teams.
Multigres is a new open source project from Supabase that brings connection pooling, sharding, resiliency, and failover to Postgres. Led by Vitess co-creator Sugu Sougoumarane, it's designed to scale Postgres horizontally, without leaving the ecosystem behind.
It starts with pooling, with high availability and sharding on the roadmap. It is Apache 2 licensed and built to work alongside Supavisor and OrioleDB.
If you're pushing up against Postgres limits—too many connections, no failover, or scaling pain—Multigres is one to keep on your radar. No rewrites, no lock-in, just Postgres that scales.
Bots that solve CAPTCHAs, run JavaScript, and imitate real users now slip past header checks and rate limits. Vercel’s new BotID acts like an “invisible CAPTCHA,” blocking Playwright / Puppeteer-style automation before it hits your backend. A single checkBotId()
call in your route handler lets you quarantine suspect traffic with 403—no API keys or score-tuning required.
BotID ships in two tiers: Basic (on by default for everyone) and Deep Analysis, an enterprise-grade mode powered by Kasada that applies hardened, adversary-tested detection. Both tiers embed lightweight, obfuscated code that mutates on every page load, silently gathering thousands of signals and feeding a shared ML network that gets smarter with each attack it sees.
Key takeaways
June marked the end of development for React Native’s old architecture. This means bugs won’t be fixed, and no new features will be added. While apps running on the old system will still work for now, the clock is ticking.
The React Native team has made it clear: all future investment is going into the New Architecture—Fabric, TurboModules, and Codegen. From version 0.74 onward, it’s the default focus. That makes migration less of a nice-to-have and more of a necessary step to stay current.
If you haven’t had to upgrade yet, you should begin considering it. Bugs will continue to crop up that won’t be officially fixed. The migration path is well documented, and the ecosystem is increasingly supportive. It’s a lift, but one that pays off in long-term stability and better developer experience.
Vibe coding - rapid prototyping with AI-generated code - can feel magical at first. But without structure, it often leads to bloated, broken, and unscalable apps. In our latest blog, Econify’s Alex Kondratiuk unpacks two real-world examples where LLM-driven development went off the rails - and what teams can do to course-correct. Read the full story here.
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The Loop is written and edited by Victoria LeBel, Alex Kondratiuk, Alex Levine, and Christian Clarke.
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