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Daily Edition · Page 4

THE DAILY INDEX

Technology, AI, software, security, crypto and business

ARTICLES & TUTORIALS

TLDR Web Dev

TLDR Web Dev

A MILESTONE FOR TYPESCRIPT PERFORMANCE IN TANSTACK ROUTER

TanStack Router, a type-safe routing library for TypeScript, made performance improvements to address a bottleneck in TypeScript's language service when handling large route trees. The issue stemmed from the language service having to infer types for the entire route tree, even when only a specific route was referenced. To solve this, TanStack Router introduced a new approach for file-based routing where the route tree is explicitly declared instead of inferred, allowing the language service to infer types only for the relevant route.

tanstack.com · 10 min

TLDR Web Dev

INTERNING IN GO

Go's new `unique` package can improve memory usage by interning objects, specifically strings, to avoid storing duplicate copies. Interning, by reusing identical objects, reduces memory usage compared to other approaches. This post illustrates this through a program that processes a large text file, identifying all words starting with "B" and comparing the memory usage of different methods: storing references, cloning strings, and using the `unique` package.

links.tldrnewsletter.com · 4 min

TLDR Web Dev

REMIX'S CONCURRENT SUBMISSIONS ARE FUNDAMENTALLY FLAWED (WITHOUT CAUSAL ORDERING)

Remix's approach to concurrent submissions, using a "submission and revalidation" pattern, is fundamentally flawed. It leads to unnecessary latency and introduces race conditions where the UI can display outdated information, even after users have submitted changes. There are two solutions: Causal ordering, which makes sure requests are processed in the order they depend on each other, and Persistence, where a connection is maintained between the client and server to guarantee ordered processing.

dashbit.co · 6 min

TLDR Web Dev

WHY WORDFREQ WILL NOT BE UPDATED

wordfreq provided snapshots of language usage up to 2021 - it will not be updated anymore due to several reasons. First, the rise of generative AI has contaminated online data with AI-generated text, making it difficult to accurately represent human language usage. Second, previously free sources of data, like Twitter and Reddit, have become inaccessible or expensive, making it impractical to collect new data. Finally, its developer has become disillusioned with the current state of natural language processing.

github.com · 4 min

TLDR IndexPage 4