Developer builds bilingual tool to help foreign travelers find correct China rail stations

·1 views

A developer has created a web tool called Ask-China to help foreign visitors identify the correct high-speed rail stations in China, where a single city can have multiple major terminals. Users input their actual starting point and destination — such as a hotel or attraction — and the tool returns candidate stations with both English and Chinese names side by side. The tool matches results against the official Railway 12306 station directory to avoid surfacing incorrect or informal locations. It does not provide live schedules or ticket availability, deliberately stopping short of booking to keep its guidance honest and accurate. The final step directs travelers to China's official 12306 railway platform to verify routes and complete their booking.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Key AI and LLM Concepts Explained: Weights, Tokens, and Output Controls

Large Language Models (LLMs) are mathematical models built from billions of learned parameters called weights, trained on vast amounts of text and image data using Transformer architecture. Due to their size, running LLMs locally requires sufficient storage and computing power, with tools like Ollama and LM Studio enabling local deployment. LLMs function as next-word predictors, assigning probability scores to possible outputs, with parameters like Temperature, Top K, and Top P allowing users to control the randomness and diversity of generated responses. Text input is broken into smaller units called tokens through a process known as tokenization, with each token assigned a numerical value and converted into an embedding. A model's context window defines the maximum number of tokens it can process at one time, effectively acting as its short-term memory.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Only 18% of Devs See Faster Shipping from AI, Yet 73% of Enterprise Sites Use It

A 2026 Stack Overflow survey found that only 18% of web developers report faster shipping times after adopting AI tools, with most teams stuck in unproductive pilot phases. Despite this, Gartner data shows 73% of enterprise websites now incorporate at least one AI-powered feature, up sharply from 31% in 2023. GitHub's 2026 Copilot Effect report suggests AI-driven tools can cut code review times by 47%, but only when properly integrated into a framework's CI/CD pipeline rather than bolted on as an afterthought. AI applications in web development extend beyond code assistance to include recommendation engines, semantic search, and A/B testing, with each area showing measurable gains when implemented with real user data. Experts warn that teams treating AI as optional add-ons — rather than rebuilding workflows around them — tend to see slower processes and more merge conflicts, not fewer.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Picodata: Distributed Rust Database Supporting PostgreSQL, Redis, and Cassandra Protocols

Picodata is a distributed, PostgreSQL-compatible database built in Rust that supports multiple wire protocols through a plugin architecture. It natively speaks the PostgreSQL protocol, while the Radix plugin adds Redis compatibility and the Sirin plugin enables Cassandra Query Language support. The system uses Raft consensus for schema management and cluster topology, and employs a shard-per-core model with active-active multi-datacenter replication. Descending from Tarantool, Picodata is designed for horizontal scalability and claims production performance of over 10,000 transactions per second per core. It is self-hosted via Linux packages or Docker, with source code available at git.picodata.io and documentation at docs.picodata.io.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Claude Fable 5.1 Launches on Agent Platform's Model Garden

Claude Fable 5.1 is now available in the Model Garden on Agent Platform. The model is designed for long-running, high-stakes tasks spanning code, documents, and research workflows. It is positioned as a frontier-intelligence tool intended for production environments. Users can access the model directly through the Agent Platform to begin testing it in their projects.

0 comments Read more at DEV Community