Anthropic

Latest AI news, models and releases from Anthropic. ['anthropic-ai', 'Anthropic AI Models', 'Claude', 'Claude 2', 'Claude 2.1', 'Claude 3', 'Claude 3.5 Sonnet', 'Claude-3.5-Sonnet', 'Claude 3.5 Sonnet v2', 'Claude 3.7 Sonnet', 'Claude 3 Haiku', 'Claude 3 Opus', 'Claude3 Opus', 'Claude 3 Sonnet', 'Claude 4', 'Claude 4.6', 'Claude 4 Opus', 'Claude 4 Sonnet', 'Claude 5', 'Claude Agent SDK', 'Claude.ai', 'Claude AI', 'ClaudeBot', 'Claude Code', 'Claude Code (Opus 4.7)', 'Claude Code Sonnet 5', 'Claude Cowork', 'Claude Design', 'Claude Desktop', 'Claude Fable', 'Claude Fable 5', 'Claude Fable5', 'Claude Fable 5 Max', 'Claude Haiku', 'Claude Haiku 4.5', 'Claude Instant', 'Claude (language model)', 'Claude Max', 'Claude Mythos', 'Claude Mythos 5']

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Agents 🇺🇸

ScarfBench: A Benchmark for Evaluating AI Agents in Enterprise Java Framework Migration

ScarfBench is an open benchmark for evaluating AI agents on cross-framework migration tasks in Enterprise Java, covering Spring, Jakarta EE, and Quarkus. It tests whether migrated applications build, deploy, and preserve behavior. Current agents show overconfidence and struggle with environment issues, with configuration dominating migration effort.

IBM

Anthropic

Hugging Face blog27.07 · 09:05

Harnesses 🇷🇺

Context Engineering: What It Is, How to Work with LLM Agent Context, and Why You Get Paid for It

Context engineering is a set of techniques for collecting and maintaining optimal context when working with LLMs. It differs from prompt engineering (which only handles instructions) and complements RAG (knowledge delivery) and MCP (tool integration). The article breaks down the layers of an agent's context, four typical failure scenarios (poisoning, distraction, confusion, conflict), and a context management approach through write, select, compress, isolate.

Anthropic

OpenAI

Google/DeepMind

Alibaba/Qwen

LangChain

Habr — хаб NLP27.07 · 09:05

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