Browsing: coding

AI has quietly created a new category of high-paying jobs. Not just for engineers, but for people who know how to use it well. These are…

In the high-stakes world of AI, ‘Context Engineering’ has emerged as the latest frontier for squeezing performance out of LLMs. Industry leaders have touted AGENTS.md (and…

In this tutorial, we implement an end-to-end Practical Byzantine Fault Tolerance (PBFT) simulator using asyncio. We model a realistic distributed network with asynchronous message passing, configurable…

Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted Expert Activation Pruning (REAP) method. The…

Code-oriented large language models moved from autocomplete to software engineering systems. In 2025, leading models must fix real GitHub issues, refactor multi-repo backends, write tests, and…

Keep in mind: This is based on an internal benchmark at Cursor. Credit: Cursor Cursor is hoping Composer will perform in terms of accuracy and best…

In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise software tasks. We design a suite…

YaroslavKryuchka/iStock/Getty Images PlusFollow ZDNET: Add us as a preferred source on Google. ZDNET’s key takeaways AI-based coding tools won’t be able to compete with the LLM giants.Observability is…