Insider Brief PRESS RELEASE — Tessera Labs announced $60 million in oversubscribed funding led by Andreessen Horowitz (a16z) to accelerate its mission of bringing AI-native automation to enterprise transformation. Foundation Capital, Myriad Venture Partners, and Osage University Partners also participated. The announcement arrives as the global SAP community convenes in Orlando for its flagship annual event, underscoring […]
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.
[PRESS RELEASE – SEOUL, South Korea, May 7th, 2026] Korea’s first won-denominated public blockchain goes live with built-in regulatory compliance and native AI agent identity, integrating with Model Context Protocol (MCP), Claude skills, Gemini CLI, and Cursor. The underlying technology already powers BDAN Pocket, a digital wallet used by 4 million citizens of Busan. Hashed […]
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
