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<div style="display: none; max-height: 0px; overflow: hidden;">Vercel’s first native iOS app, v0, was built using React Native with Expo. The focus was on building a smooth, delightful AI chat experience </div>
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<h1><strong> TLDR Dev <span id="date">2025-11-25</span></strong></h1>
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<strong>Signadot: Run on-demand K8s sandboxes locally and hot reload your backend. (Sponsor)</strong>
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Spinning up 23 services locally to test a one-liner?<p></p><p>Melting your laptop trying to run everything?</p><p>Waiting 20 minutes for CI on every change?</p><p>You're doing it wrong...</p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.signadot.com%2Flocal-development%3Futm_source=tldr%26utm_medium=sponsorship%26utm_campaign=q4_25_sponsorships/3/0100019abae95c28-85cc0977-554b-4d71-a22e-98d796af39ac-000000/lf2uOWYrr2rWMLvbWGKbzPq8Wrk3HeZXQpcaRamyApc=432" rel="noopener noreferrer nofollow" target="_blank"><span>Signadot</span></a> gives you on-demand sandboxes connected to your K8s cluster:</p>
<p>>> <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.signadot.com%2Flocal-development%3Futm_source=tldr%26utm_medium=sponsorship%26utm_campaign=q4_25_sponsorships/4/0100019abae95c28-85cc0977-554b-4d71-a22e-98d796af39ac-000000/zcxyjmNh3RGwMOMrpodJsq3sAD3rQ5jYF_MQ2OYvJCg=432" rel="noopener noreferrer nofollow" target="_blank"><span>Hot reload</span></a> to test changes E2E and see the entire flow from frontend to backend.</p>
<p>>> Validate against the actual stack, not brittle mocks.</p>
<p>>> Stop context-switching and reclaim your flow state.</p>
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<strong>How we built the v0 iOS app (16 minute read)</strong>
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Vercel's first native iOS app, v0, was built using React Native with Expo. The focus was on building a smooth, delightful AI chat experience. The team faced challenges in areas like keyboard handling, scrolling, and streaming content. They overcame them through composable code, custom hooks, and even native code patching, using libraries like LegendList and React Native Keyboard Controller.
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<strong>Load Testing: How many HTTP requests/second can a Single Machine handle? (16 minute read)</strong>
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Load testing was performed on a single machine to determine how many HTTP requests per second it can handle, using a Java-based REST API, PostgreSQL, and DigitalOcean infrastructure. The tests were conducted on machines with varying CPU and memory configurations, showing that even a small machine could handle hundreds of requests per second. A medium machine could handle 500-1,000 RPS, while a large machine sustained 2,000-3,000 RPS.
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<strong>We stopped roadmap work for a week and fixed 189 bugs (11 minute read)</strong>
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“Fixit” weeks are when the engineering team pauses regular work to address small bugs and improvements. During one fixit week, 40 people fixed 189 bugs, improving both user experience and developer productivity. These focused efforts have a lot of benefits on product quality, individual satisfaction, and team morale, emphasizing the importance of preparation, a strict time limit, and gamification.
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<strong>The Cloudflare outage was a good thing (7 minute read)</strong>
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A Cloudflare outage, caused by a bad config file, temporarily disrupted access to many popular online services. This outage may be a good thing, as it showed the dangers of internet centralization and over-reliance on a few key players. It's similar to COVID-19's impact on global supply chains, which led to businesses and governments diversifying supply chains more after 2020.
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<strong>Building Databases for the Cloud-Native and GenAI Era (Sponsor)</strong>
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Data-driven organizations require an agile, cloud-native database to support modern cloud infrastructure and application architectures. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fna2.hubs.ly%2FH01R0LC0/1/0100019abae95c28-85cc0977-554b-4d71-a22e-98d796af39ac-000000/1YElptlfQSBDJNGnEy090ciWcLHZrNm-afAHtLrArGE=432" rel="noopener noreferrer nofollow" target="_blank"><span><strong>Distributed SQL Databases For Dummies</strong></span></a> provides a detailed explanation of how to meet today's cloud-native, GenAI, and retrieval-augmented generation (RAG) application demands using a distributed SQL database architecture<em>.</em>👉<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fna2.hubs.ly%2FH01R0LC0/2/0100019abae95c28-85cc0977-554b-4d71-a22e-98d796af39ac-000000/lyjEpKZjiR9Fn2sVR45RyjvvUOPW5DLieCGoSv4a_GA=432" rel="noopener noreferrer nofollow" target="_blank"><span> <strong>Download the eBook</strong></span></a>
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<strong>Introducing Claude Opus 4.5 (10 minute read)</strong>
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Anthropic's Claude Opus 4.5 is the best model in the world for coding, agents, and computer use. It outperforms human candidates in technical skills assessments and shows creative problem-solving abilities, surpassing previous models in various benchmarks. Opus 4.5 is also the company's most robustly aligned model, with better security against malicious attacks.
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<strong>Introducing advanced tool use on the Claude Developer Platform (18 minute read)</strong>
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Anthropic has introduced three new beta features on the Claude Developer Platform to improve AI agent tool use: Tool Search Tool, Programmatic Tool Calling, and Tool Use Examples. The Tool Search Tool allows Claude to dynamically discover and load relevant tools, reducing context window consumption and improving accuracy by avoiding upfront loading of extensive tool definitions. Programmatic Tool Calling lets Claude orchestrate multiple tools through code execution. Tool Use Examples provides concrete examples of tool usage, clarifying ambiguous parameters and improving the reliability of tool invocations.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>Three Years from GPT-3 to Gemini 3 (12 minute read)</strong>
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Gemini 3 can now code complex tasks, design interfaces, and conduct research, showing a shift from chatbots to agentic models capable of acting as digital coworkers. Gemini 3 is capable of PhD-level research, though it still requires human guidance.
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