Results for “context engineering”

…instead of dumping large codebases into the prompt, minimizing context bloat and maximizing relevance. The post emphasizes that successful users employ explicit, disciplined workflows rather than relying on prompt engineering, and insists…

…insights, persist them and bring relevant results into future context. LangMem reportedly had been incorporated into LangGraph as a memory service with the same API. The broader case is for reusable infrastructure: even a million-token…

…1017 as a 552B-total / 16B-active MoE model with a 1M-token context window and an MIT license (AA). Pricing: Unchanged at $0.30/$1.20 per million input/output tokens during peak hours. Off-peak pricing is half that, and cache hits cost…

…replace doctors or lawyers. A conditional forecast for product engineering In September 2026, “We are all Product Engineers now” extended Voss’s discussion to the future of software work. His ten-year forecast rested on two explicit…

…adding reasoning capabilities and workbench updates for prompt engineering with features like tool use and extended thinking, and prompt sharing @AnthropicAI, @alexalbert__. Tools and Applications Elysian Labs announced Auren, an iOS app…

…and failures to recall information still inside the context window. The team split generation into seven narrower questions, including which events to use, how to display the result, and what to name it. That decomposition created a…

…on fundamentals, collaboration, and strategic AI use. @cline AI Engineering and Development Practices Best practices for AI coding include collaborating strategically with AI, planning before coding, managing the context window, using…

…shift still requires verification: exposing more experimental context lets the team investigate whether, for example, unusual humidity explains an outcome, then dispatch a rerun to test the explanation. An output measurement needs enough…

…where "Open" is an epistemological foundation, but no further context or discussion followed. Showcasing Prompt Engineering with an Ethics Focus: The member shared a detailed prompt engineering example for discussing AI ethics in business, …

…boundaries. Harness engineering and human oversight In Harness Engineering for Self-Improvement, dated July 4, 2026, Weng describes a harness as the system surrounding a base model: it orchestrates execution, planning, tool calls, context, …

…in LlamaIndex, attempting to control this via system context and chat mode settings. Another member suggested that prompt engineering is the primary method, and a secondary LLM call could inspect sources to judge the answer's quality.…

…team identifies integrations, core capabilities, and product engineering as its main bottlenecks. It began with context windows—the input available to a model—of roughly 4,000 tokens; its system prompt alone had since exceeded that size.…