Results for “context engineering”

…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. LLMs and AI Models Llama 3 Performance: @abacaj noted that llama-3 models with zero-training can get 32k context with exceptional quality, surpassing…

…cleanest option. LangChain’s intended value lies in assembling context-aware reasoning applications, where abstractions help but also introduce complexity. Visibility was a deeper problem. Prompt and data engineering become harder when…

…platform algorithms: X “For You” recommender goes public X Engineering open-sources the X algorithm (Grok-style transformer recommender): X says it has open-sourced its new algorithm (the ranking/recommendation stack), “powered by the same …

…may not describe each image precisely, yet the elements share context. Building that sequence requires deciding which page content to keep and cleaning it carefully. The distinction mattered by task. In the team’s experiments, LAION-style…

…than in November 2025. Customer Support rose 32 times and Engineering rose 27 times, while Legal grew more gradually but still reached 13 times its November level. This should form an interesting baseline against Tokenmaxxing concerns -…

MCP, short for Model Context Protocol, is an open protocol connecting AI applications to external tools and data. A coding assistant can use it to retrieve design context; a desktop assistant can connect to a local service. The practical…

…React Python, with Charuru emphasizing Sonnet's unique prompt engineering that enhances its human-like interactions. Open Source and Accessibility: DeepSeek V3 is celebrated for being open-source and accessible, allowing users to leverage…

…who, as CEO in August 2025, advocated retrieval infrastructure, context engineering and practical evaluation for reliable AI applications.

…for Coding Benchmarks: Concerns arose about heavy prompt engineering in coding benchmarks. Some argued that simple prompts better reflect practical usage if the code fits within a reasonable context window, differing from agent evaluation…

…Bottlenecks: Rewards, Tokens, and Systems Josh McGrath on the engineering behind reinforcement learning, efficient agents, and useful long context, in a conversation at NeurIPS 2025.

…come prepped for Ryan’s AMA with Vibhu after. Move over, context engineering. Now it’s time for Harness engineering and the age of the token billionaires. Ryan Lopopolo of OpenAI is leading that charge, recently publishing a lengthy essay…

…Cognition co-founder and product leader whose writing explains context engineering, coordinated agents, and the infrastructure needed for autonomous software development.