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Hey guys,
Welcome to another edition of Import React by Cosden Solutions!
You can now use Claude with Openclaw again, Next.js is pushing deeper into infra, and TypeScript just got a massive performance upgrade under the hood.
Plus a bunch of practical tools and breakdowns this week, from building with TanStack Start to what’s actually going on behind those viral GitHub repos.
Let’s get into it.
Stop babysitting your coding agents
Agents can generate code. Getting it right for your system, team conventions, and past decisions is the hard part – you end up wasting time and tokens in correction loops.
MCPs give agents access to information but not understanding. The teams pulling ahead use a context engine to give agents exactly what they need.
Join us April 23 (FREE) to see:
Where teams get stuck on the AI maturity curve
How a context engine solves for quality, efficiency, and cost
Live demo: the same coding task with and without a context engine
⚡️ The Latest In React
🎙️ Next.js Adapters, Turbopack & The Future of Infra
In this episode, the Next.js team breaks down the new Adapters API, designed to make Next.js run more seamlessly across platforms like Cloudflare and Netlify. It’s a big step toward decoupling the framework from specific hosting environments. They also go deep on Turbopack internals, caching, and why Next.js isn’t built on Vite, unpacking the tradeoffs behind performance and bundling decisions. A great listen if you want to understand where Next.js is heading under the hood.
⚛️ Async React in React 19
This is one of the clearest explainers of React 19’s new async patterns, breaking down useTransition and useActionState in a really practical way. It shows how React is moving away from manual isLoading state toward built-in pending lifecycles. useTransition keeps UIs responsive during async work, while useActionState handles atomic, sequential updates (avoiding race conditions and stale data). A great deep dive if you’re trying to actually understand how “Async React” is meant to work going forward.
🚀 TypeScript 7.0 Beta
This is a huge shift under the hood, TypeScript has been rewritten in Go, and early benchmarks show ~10x faster builds and type-checking. It’s not a rewrite in behavior though, meaning it’s fully compatible with existing TS code, just dramatically faster. The release also introduces parallelized type-checking and project builds, making it especially impactful for large codebases and monorepos. Probably one of the most important TypeScript updates in years.
📧 React Email 6.0
React Email 6 ships with a new open-source visual editor you can embed directly into your app, making it much easier to build and customize email UIs. It’s designed with a core + extensions architecture, so you can create your own blocks (images, charts, etc.) on top. The release also includes new pre-built templates and a unified package to simplify imports. With 2M weekly downloads (+108%), it’s quickly becoming a go-to for building emails in React.
🔧 Building a Blog with TanStack Start
A hands-on walkthrough showing how to build a blog with TanStack Start, covering core concepts like server functions, routing, and Markdown-driven content. It walks through loading posts, parsing metadata, and rendering pages using file-based routing.
Quick Links
Vercel Security Incident (April 2026) - Vercel disclosed a breach caused by a compromised third-party AI tool, which led to unauthorized access to some internal systems and environment variables. No npm packages were affected, but impacted users are urged to rotate credentials and enable MFA.
Yuku (JS/TS Compiler in Zig) - A new high-performance JavaScript/TypeScript compiler written in Zig, designed to be spec-compliant, zero-dependency, and extremely fast.
Good APIs Age Slowly - The best APIs aren’t the cleanest on day one, they’re the ones that survive real-world usage and changing requirements. Focus on tight boundaries and minimal exposure, since most long-term issues come from things that seemed harmless early on.
Better Auth 1.6 - A foundational release focused on stability, adding OpenTelemetry tracing, passkey-first auth flows, and non-blocking password hashing.
VisionCamera V5 - A major upgrade for React Native camera apps, introducing a Nitro-based rewrite for huge performance gains, plus a new Constraints API that simplifies complex camera configs. Also adds in-memory photos, RAW capture, depth streaming, and modular plugins for much more advanced workflows.
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🧠 AI & General Programming
🎯 What ~1,000 Amazon Interviews Taught About Getting Hired
After conducting nearly 1,000 interviews at Amazon, Steve Huynh found that most candidates don’t fail on technical skills, they fail on how they communicate their experience. By the final round, companies already know you can code; the real question is “would we actually want to work with you?” The biggest mistake is that candidates spend ~95% of prep on coding and almost none on behavioral stories, even though that’s where hiring decisions are made. Clear, well-practiced storytelling (not rambling answers) is often the difference between an offer and a rejection.
⚔ OpenClaw + Claude Integration Docs
OpenClaw now supports multiple ways to run Anthropic’s Claude models, including API keys and direct Claude CLI reuse. You can plug Claude into your workflow with configurable models, caching, fast mode, and even 1M token context (beta) for large workloads. A couple of weeks ago, Claude banned this, but now suddenly you can use Claude again, which is great!
⭐️ Inside GitHub’s Fake Star Economy
I’ve noticed recently how some repos blow up with stars overnight, and this explains a lot. A new investigation found over 6 million fake GitHub stars across thousands of repos, with stars selling for as little as $0.03 each on public marketplaces. The reason is simple: VCs actively use star counts as a proxy for traction, with ~2.8K stars being the median at seed stage. That creates a huge incentive to game the system — and in some cases, 30–70% of a repo’s stars come from empty or bot accounts.
💥 I Stopped Spending 3 Hours a Day “Finding Things Out”
Engineering leadership often turns into hours of manual context-gathering across tools before any real work begins. Rafe solved this by building a personal AI layer that pulls from GitHub, Jira, Slack, and notes to automatically generate the context he needs. With prep compressed into a single briefing, his time shifted toward coaching, strategy, and pattern recognition instead of status updates. It also surfaced blind spots in how he leads, from missed follow-ups to unhelpful habits.
See you next week,
Darius Cosden