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<div style="display: none; max-height: 0px; overflow: hidden;">Monday.com successfully used an AI-powered migration system called "Morphex" to break apart its massive JavaScript client monolith in just 6 months β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.builder.io%2Fblog%2Ffigma-to-code-fusion%3Futm_source=TLDR%26utm_campaign=figma-to-code-with-fusion-ai%26utm_medium=TLDR%26utm_content=blog/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/wIzrIRY3jLxZWyb6s-q--enLpX71UGKa06kH0RmaZEw=423"><img src="https://images.tldr.tech/builderio50.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Builder.io"></a></td></tr></tbody></table>
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<h1><strong> TLDR Web Dev <span id="date">2025-09-17</span></strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.builder.io%2Fblog%2Ffigma-to-code-fusion%3Futm_source=TLDR%26utm_campaign=figma-to-code-with-fusion-ai%26utm_medium=TLDR%26utm_content=blog/2/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/9crJavYtpx1GFBq18zCbGMdYmlMYoo1Xc54Di6CfpoE=423">
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<strong>Turn Figma designs into production code that actually follows your design system (Sponsor)</strong>
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Most AI tools generate code that ignores your components and design tokens. Engineers end up spending more time refactoring than shipping.<p></p><p>Fusion closes that gap. It connects to GitHub, understands your components and patterns, and turns Figma designs into production-ready code that matches your system.</p><p><strong>Why teams ship faster with Fusion:</strong></p><ul><li>Engineers start with 80% of the UI in place and spend their time on real logic</li><li>Designers move from Figma to code without losing fidelity</li><li>PMs turn prototypes into production ready code</li><li>Design systems stay enforced automatically across every build</li></ul><p>β <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.builder.io%2Fblog%2Ffigma-to-code-fusion%3Futm_source=TLDR%26utm_campaign=figma-to-code-with-fusion-ai%26utm_medium=TLDR%26utm_content=blog/3/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/v4vCHGEefxuSYLwF0N2rEcvkPCWbGHiMCU5w4F0o9ao=423" rel="noopener noreferrer nofollow" target="_blank"><span>See how Fusion turns Figma into production code</span></a>
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<div style="text-align: center;"><span style="font-size: 36px;">π§βπ»</span></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fengineering.monday.com%2Ffrom-8-years-down-to-6-months-how-we-built-ai-to-split-the-monday-com-monolith%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/DvUr0X3X_hr0PYAOxWsBtIS0PIKt9RQT0ocwoY-mbKU=423">
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<strong>From 8 years down to 6 months: How we built AI to split the Monday.com monolith (8 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Monday.com successfully used an AI-powered migration system called "Morphex" to break apart its massive JavaScript client monolith in just 6 months, reducing the original estimate of 8 person-years of manual work. Morphex combines AI with deterministic code orchestration, breaking the complex migration into small, validated steps while using Monday.com's own platform to track progress and manage thousands of files across the codebase. The hybrid approach has strict validation at each step, human oversight through "Human Todos" and code reviews, and parallel processing to migrate from JavaScript to TypeScript.
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<strong>The βMost Hatedβ CSS Feature: cos() and sin() (18 minute read)</strong>
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CSS trigonometric functions, specifically `cos()` and `sin()`, were identified as the "Most Hated Feature" in the State of CSS 2025 survey. This article explains these functions by relating them to the unit circle and Cartesian coordinates, explaining how they can be used to calculate positions in circular and wavy layouts. The article then shows how `cos()` and `sin()` can be used to create damped oscillatory animations.
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<strong>Low- and Mid-Tier Mobile for the Real World (8 minute read)</strong>
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It can be good to use real-world low- and mid-tier mobile devices for web performance testing in 2025, rather than relying solely on Chrome DevTools' emulated settings. This dev recommends the Samsung Galaxy A15 5G ($199) for low-tier testing and the Samsung Galaxy A54 5G ($450) for mid-tier testing, based on their global market penetration, representative hardware capabilities, long software support, and reasonable pricing.
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<strong>When the Job Search Becomes Impossible: Three Phases of Burnout (10 minute read)</strong>
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During a prolonged job search, this dev burned out. As time goes on, there is an increasing exhaustion and desperation in each phase as traditional job-seeking methods fail. However, devs in this situation aren't alone, and should take rest and recharge their minds when they burn out during such tough job searches.
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<strong>In Defense of C++ (14 minute read)</strong>
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This dev defends C++ against common criticisms, saying that its complexity is manageable, its age doesn't equate to obsolescence, and its "unsafe" reputation can be mitigated. C++'s large ecosystem and continuous updates, like C++20 and C++23, make it a relevant choice for various applications.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.logrocket.com%2Fvibe-coding-vs-prompt-engineering%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/9SGQ1XT8W23qyDoCbI_dvKQnm6bjlFZyGMNXxUJLpVw=423">
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<strong>Let's kill vibe coding and bring back prompt engineering (8 minute read)</strong>
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Devs have abandoned the methodical approach of prompt engineering in favor of vibe coding. While vibe coding may feel effortless, it often produces sloppy, inconsistent results, whereas prompt engineering leads to higher-quality, more reliable AI-generated code through deliberate problem-breaking and iteration.
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<strong>π Sentry Logs now in GA: Debug silent failures with trace-connected logging (Sponsor)</strong>
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Your API returns 200. No errors thrown. But users report missing confirmations. With Sentry's trace-connected <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.sentry.io%2Flogs-generally-available%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=logs-fy26q3-logslaunch%26utm_content=newsletter-logs-ga-launch-learnmore/2/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/qwvhs5KEZJSQzzpM7o28WnYLRU9TiroZPskReUmidAY=423" rel="noopener noreferrer nofollow" target="_blank"><span>logs</span></a>, you see exactly what happened. See logs scoped to spans, live tailing for real-time debugging, and alerts for patterns like repeated <em>payment_status=declined. </em><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.sentry.io%2Flogs-generally-available%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=logs-fy26q3-logslaunch%26utm_content=newsletter-logs-ga-launch-learnmore/3/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/j0qRiyPsnu92NV3xZVBfMlnGFml1nLaZ_0jF6d6RDpk=423" rel="noopener noreferrer nofollow" target="_blank"><span>Read the blog to get started</span></a>
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<strong>Claude Code Action (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Claude Code Action is a GitHub Action developed by Anthropic that allows Claude to answer questions, implement code changes, review code, and automate tasks within pull requests and issues. It detects when to activate based on mentions, assignments, or prompts, and supports multiple authentication methods.
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<strong>Claude Flow (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Claude-Flow is an enterprise-grade AI orchestration platform. It combines hive-mind swarm intelligence, neural pattern recognition, and many MCP tools to help create AI-powered development workflows. The platform has a dynamic agent architecture, SQLite memory system, advanced hooks, and GitHub integration.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdevelopers.googleblog.com%2Fen%2Fannouncing-genkit-go-10-and-enhanced-ai-assisted-development%2F%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/WGY1z8IvsVrBJnzqVYtWUU33DMZ1gyxStrhX9Knf1HQ=423">
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<strong>Announcing Genkit Go 1.0 and Enhanced AI-Assisted Development (8 minute read)</strong>
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Genkit Go 1.0, Google's open-source AI development framework for Go, is now production-ready and includes a new AI-assisted development tool (`genkit init:ai-tools`) for streamlining AI coding workflows.
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<div style="text-align: center;"><span style="font-size: 36px;">π</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.anthropic.com%2Fresearch%2Fanthropic-economic-index-september-2025-report%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/vFTPOocOjt5S08u9SjDkVbVi_TyBADVlKFK5jRvtPEg=423">
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<strong>Anthropic Economic Index report: Uneven geographic and enterprise AI adoption (8 minute read)</strong>
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Anthropic's Economic Index report shows that AI adoption is following historical patterns of technological diffusion, with usage concentrated in wealthy regions and specific enterprise applications, though at an unprecedented speed. The report found that 40% of US employees now use AI at work (up from 20% in 2023), with high-income countries like Singapore and Canada showing 4.6x and 2.9x expected usage rates, respectively, while emerging economies like India and Nigeria lag significantly behind. Enterprise API usage shows businesses primarily deploying AI for automation tasks (77% of cases).
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frailsatscale.com%2F2025-09-08-how-ruby-executes-jit-code-the-hidden-mechanics-behind-the-magic%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/ye-eIkC_uGBcKgldnAh3ncSKNbq-Wn7_mXic5nV9oCg=423">
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<strong>How Ruby Executes JIT Code: The Hidden Mechanics Behind the Magic (6 minute read)</strong>
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This article explains the inner workings of Ruby's JIT (Just-In-Time) compilers. JIT-compiled machine code lives alongside the original bytecode in Ruby's Instruction Sequences (ISEQs), with Ruby deciding which to execute based on call frequency. Methods must be called 25+ times to be profiled and 30+ times to be compiled to native code. When JIT code's assumptions are violated, Ruby "de-optimizes" by falling back to the interpreter to guarantee correctness.
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<div style="text-align: center;"><span style="font-size: 36px;">β‘</span></div></div>
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<h1><strong>Quick Links</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwaymo.com%2Fblog%2F%23short-all-systems-go-at-sfo-waymo-has-received-our-pilot-permit%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/ngsI3auxhVgAzaIk5WdR-AxEjN1tbBQgUNzzGjtimKg=423">
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<strong>Now Testing in SFO (2 minute read)</strong>
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Waymo has received a permit to begin commercial operations at San Francisco International Airport.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flabs.iximiuz.com%2Ftutorials%2Fcontainer-filesystem-from-scratch%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/exvG68h8YDGhZ7-E8J_bsjJQlR0WSxQkJ6aWS1Z6Vjc=423">
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<strong>How Container Filesystem Works: Building a Docker-like Container From Scratch (34 minute read)</strong>
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This tutorial explains how container filesystems work by going through building a Docker-like container from scratch using Linux tools like unshare, mount, and pivot_root.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FQLr0df/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/Sz85hMskrv9ZETfBeYspFtfGCItgXKmDO0dsoY1L2yU=423">
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<strong>What's the most underrated web dev skill that nobody talks about? (Reddit Thread)</strong>
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This Reddit thread discusses underrated but impactful skills in web development beyond frameworks and performance.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.google%2Fproducts%2Fsearch%2Fgoogle-app-windows-labs%2F%3Futm_source=tldrwebdev/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/_zZwQrEdHbuyuQJT_txFkXRENK-5NgN_D8sY3zYEgc8=423">
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<strong>We're launching a new Google app for Windows experiment in Labs. (2 minute read)</strong>
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Google is launching an experimental Windows app in Labs that allows users to quickly search their computer, web, and screen content without interrupting their workflow.
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If you have any comments or feedback, just respond to this email!
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<br> Thanks for reading,
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<span>Priyam Mohanty</span>, <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fxu-jenny%2F/1/0100019957703df9-b6091057-f38a-4569-8e4e-9fa8751fb927-000000/qUxXnzTGCdhruqBWgWQgWniA4_ZgrpdSMMm13AtRzZk=423"><span>Jenny Xu</span></a> & <span>Ceora Ford</span>
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