23 Tips for Smart Claude Code Token Saving and Workflow Optimization

The post Hyperliquid Burns $824K HYPE in 24 Hours appeared on BitcoinEthereumNews.com. Hyperliquid burns $824K in daily HYPE fees, with 45.1M tokens burned as price trades near $43 and tests $45 resistance. Hyperliquid burned about $824,688 worth of HYPE in the last 24 hours, according to figures shared in the market update. The buyback and burn activity comes as HYPE trades near $43, while traders watch the $45 resistance zone for confirmation of a stronger move. Hyperliquid Uses Daily Fees for HYPE Buyback and Burn Hyperliquid generated about $824,688 in fees over the past 24 hours. The update stated that 100% of those fees were used to buy back and burn HYPE. The model has attracted interest because it links platform activity with token supply reduction. Many projects use revenue for operations, incentives, or treasury growth. Hyperliquid’s current model directs fees toward token burns. In the last 24 hours, Hyperliquid generated approximately $824,688 in fees — and 100% of it was u

Hyperliquid burns $824K in daily HYPE fees, with 45.1M tokens burned as price trades near $43 and tests $45 resistance. Hyperliquid burned about $824,688 worth of HYPE in the last 24 hours, according to figures shared in the market update. The buyback and burn activity comes as HYPE trades near $43, while traders watch the […] The post Hyperliquid Burns $824K in HYPE Daily as Buyback Model Scales appeared first on Live Bitcoin News.

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can work for quick prototypes […] The post Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents appeared first on MarkTechPost.

Three companies reportedly pressed US senators for changes to a crypto bill, removing language that would require them to offer trading on tokens “not readily susceptible to manipulation.”

How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them. The post Unified Agentic Memory Across Harnesses Using Hooks appeared first on Towards Data Science.

Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from developer tools to infrastructure powering software development at large, the underlying inference engines serving those requests are under increasing strain. The LightSeek Foundation researchers have released TokenSpeed, an […] The post LightSeek Foundation Releases TokenSpeed, an Open-Source LLM Inference Engine Targeting TensorRT-LLM-Level Performance for Agentic Workloads appeared first on MarkTechPost.

Users will be able to create a podcast from Codex or Claude Code and import it to Spotify

Writing code has always been the most time- and resource-intensive task in software development. AI is changing that, and faster than most engineering organizations are prepared for. Tools like Claude Code and Cursor are already handling significant parts of code construction, freeing developers to spend more time on requirements, architecture, and design. But that shift creates a new challenge nobody is talking about enough. As AI takes on the heavy lifting, the skills that matter most are moving upstream: how to provide the right context for a prompt, how to evaluate what the model produces, and how to understand a problem deeply enough that you can’t be fooled by a confident but wrong answer. This piece explores those three skills and why developers who master them will have a significant edge over those who don’t. Beyond coding: Mastering the art of the prompt Software translation tools such as compilers and assemblers map a high-level description of code to a lower-level represent