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According to Forrester, 88% of engineering, product, and design leaders think prototyping needs to happen earlier. Wait til late in the lifecycle to surface changes and you'll get months of delays.
Tackle problems early in the lifecycle by accelerating your
Microsoft is proposing a new Delayed Message Timing API to help web developers diagnose and fix performance issues in complex web applications that use multiple windows, iframes, or worker threads. The API addresses three main causes of messaging delays: busy receiving contexts, congested task queues, and serialization/deserialization overhead by providing detailed timing metrics and diagnostic information.
A dev is struggling to effectively use AI, specifically Claude Code, to rewrite an old jQuery and Django project into SvelteKit. Experienced users recommend using a CLAUDE.md file correctly for persistent instructions, using Claude's "plan mode" for task breakdown before implementation, and adding feedback loops through tests to verify the AI's work. Also, Opus 4.5 should be used over any other model for coding when possible.
just can normalize most projects in a convenient, fast, readable, and portable way. Large language models are good at generating justfiles, and justfiles help models know what actions they can run on a project. This post goes through some tricks you can do with just.
Svelte's move to JSDoc for type declarations was not a rejection of TypeScript. Rather, JSDoc should be understood as an inherent part of TypeScript itself. This is because the TypeScript language service powers the static analysis and IntelliSense for both `.ts` files and JSDoc comments, making them two sides of the same coin.
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shadcn/create lets developers build their own shadcn/ui. Everything is customizable - developers can change components, icons, colors, themes, and fonts to build something unique. shadcn/create is available for Next.js, Vite, TanStack Start, and v0. A video introducing the framework is available in the thread.
capsudo is an object-capability style sudo. It creates a socket that acts as an object capability, allowing anyone who can access the socket to make use of it. The capsudo daemon accepts connections, stitching everything together to run programs bound to object capabilities. Examples of how to use the tool are available in the repository.
This GitHub gist contains a Claude Code-generated style guide based on a deep analysis of 37signal's open source project management tool, Fizzy. Claude Code was used to analyze the entire code base to extract the patterns used and infer the philosophy of implementation choices. The guide contains patterns extracted from actual code, guidance based on observed conventions, notes on what's deliberately absent, and reusable code that can be copied into personal projects.
Cursor migrated from a headless CMS to raw code and Markdown after realizing the CMS created unnecessary abstraction and slowed down content updates. They used Cursor's AI coding agents and completed the migration in just three days, spending only $260 in tokens to automate content export, conversion, and codebase refactoring.
The Cursor migration from Sanity to a markdown and Git-based system mentioned above was responded to by Sanity. Sanity acknowledged valid frustrations with clunky preview workflows, authentication fragmentation, and AI agent accessibility. However, they still found that Cursor's new system still has trouble at scale due to issues like content denormalization, poor collaboration, and limited querying capabilities for AI.
Big tech companies produce surprisingly sloppy code because most code changes are made by engineers who are relative beginners to the specific codebase, programming language, or system they're working on. This happens due to high employee turnover, frequent internal reorganizations, and compensation structures that incentivize job-hopping.
A build system is pretty much anything that lets you specify dependencies on a previous artifact.
Compression dictionaries have the potential to revolutionize the way CSS is served to users, as they significantly reduce costs.
Intelligence is engineered, not trained: models are components, systems create value, and engineering makes machine learning real.
For reliable and scalable automation of numerous Chromium browser sessions, this dev directly integrated Redis Pub/Sub messaging into Chromium's DevTools pipe handler to remove the instability and complexity of traditional TCP/IP communication.
This dev showed off his simple Markov text generator, Mark V. Shaney Junior, showing the "gibberish" it produces after being trained on various texts.
Python is great for scripting due to its widespread availability, standardized library, and clearer syntax.
Home Depot's internal systems were exposed for a year due to an employee's mistakenly published access token, which a security researcher discovered and reported, but the company ignored the alerts until TechCrunch intervened to prompt a fix.