CSS field-sizing Property Lets Text Areas Auto-Resize Without JavaScript

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A new CSS property called field-sizing: content is now supported across all major browsers, having landed in Chrome 123, Safari 26.2, and Firefox 152. The property allows form elements like text areas and text inputs to automatically grow or shrink based on their content, eliminating the need for JavaScript workarounds. Previously, developers had to use resize event listeners and manually calculate scroll height to achieve the same dynamic resizing effect. The property also works on select elements, number inputs, and search inputs, and respects placeholder text when sizing empty fields. Developers can pair it with min-height and max-height values — using units like lh for line height — to control the sizing range of the element.

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Developer Builds AI-Powered Web App to Explore Medieval Bosnian Tombstones

A developer has created Stećak Oracle, a knowledge-driven web application focused on stećci — medieval tombstone monuments found across Bosnia and Herzegovina, Croatia, Montenegro, and Serbia. The app combines Sanity as a structured content layer, Next.js for the frontend, and Google Gemini as an AI interface to answer user questions about the monuments. Historical data — including individual monument records, motifs, inscriptions, and sources — is stored in Sanity rather than hardcoded, keeping the AI as a generation layer rather than a source of truth. To prevent misinformation, motif documents include an 'Interpretation Caution' field that distinguishes documented historical facts from interpretive claims. The project was built as an entry for the Sanity Challenge, with initial dataset sourced from the UNESCO World Heritage Centre's Stećci Medieval Tombstone Graveyards entry.

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Anthropic Weighs Faster Model Launch Days After Amodei Urged AI Industry Slowdown

Anthropic CEO Dario Amodei published an essay on September 12 urging the global AI industry to voluntarily slow the rollout of advanced frontier capabilities, citing safety evaluation gaps. Just six days later, Reuters reported that Anthropic leadership is considering accelerating the release of its own next-generation model. The reported trigger is competitive pressure: OpenAI's GPT-6 Astra launch in early September gained significant enterprise and developer traction, and prospective IPO investors are questioning Anthropic's ability to hold its market position. Analysts note the apparent contradiction stems less from hypocrisy than from the structural dynamics of an uncoordinated competitive race, where unilateral restraint effectively cedes customers and revenue to rivals who continue shipping. With an IPO reportedly on the horizon, Anthropic faces pressure from institutional investors who value market share and revenue metrics over stated commitments to cautious deployment timelines.

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ProgrammingDEV Community ·

Whoosh Library Supports Phrase and Proximity Search for Precise Text Queries

Whoosh, a pure-Python full-text search library, offers built-in phrase and proximity query support to help match terms based on word order and position. Standard bag-of-words scoring cannot capture a user's intent when they quote a phrase, so Whoosh uses term position data stored at index time to enable exact phrase matching. A quoted query like "machine learning" will only return documents where those words appear adjacently and in order, filtering out results where the terms are scattered across the text. Adding a slop value after the closing quote, such as ~2, allows a specified number of intervening words while still enforcing term order, broadening results in a controlled way. Developers can also construct Phrase queries directly in code using the Phrase class, which is useful when input comes from structured sources rather than user-typed strings.

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ProgrammingDEV Community ·

AI Coding Tools Boost Engineer Productivity While Quietly Eroding Core Skills

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