Results for “context engineering”

…parallel writes, while long-horizon agents focus on context engineering and persistent file-centric workspaces.

…supply chain AI system @LangChainAI. @hwchase17 also mentioned context management in langgraph. Weave-Agent Planner Discussion: @jd_pressman discussed the design and planning of Weave-Agent, considering approaches like ReActTree and MuZero …

…current standard of 3-year lock-in contracts with hyperscalers. Context Engineering & RAG Systems: The importance of context engineering for RAG systems was a major topic. LangChainAI held a meetup on the subject, with @RLanceMartin sharing…

…via distributed denial of developer attention across their 1m context and new custom compaction and adaptive thinking and effort and Claude Code agent teams and Claude in Powerpoint/Excel and 500 zero-days and C compiler task and use of…

…Prompt Engineering: The workshop will emphasize dynamic prompt engineering, crucial for adapting to evolving model capabilities and user requirements. This method aims to deliver real-time contextual responses, enhancing user satisfaction. …

…like Deep Research or coding agents (@hwchase17, @LangChainAI, context engineering summary). API design for agents: Postman’s “AI‑ready APIs” argues most agents fail on weak machine‑readable documentation; it pushes predictable structures, …

…portable APE files. Ensemble of tools and frameworks for AI engineering, including polyglot frameworks like LangChain and GPT-4, alongside specific guides and courses for transitioning from predictive to generative AI modeling, with Andrej …

…for low-complexity issues. When users seek highly tailored or context-sensitive guidance without adequate prompt engineering, the model delivers less satisfactory or superficial advice. This underscores the importance of prompt specificity …

[AINews] Evals-based AI Engineering Hamel Husain emphasizes the importance of comprehensive evals in AI product development, highlighting evaluation, debugging, and behavior change as key iterative steps. OpenAI released a voice engine demo…

…model regressions are actually instruction ambiguity, missing context, or poor decomposition, which becomes obvious only after tracing with tools like LangSmith (@ChaiWithJai). This aligns with repeated calls to treat AI engineering like…

…pricing from @synthwavedd: $4/M input, $20/M output, a 1M context window, and the max-reasoning “Wonder Full” tier exclusive to MuseCode Power/Maximum Usage plans. Two models. @finkd announced the family. He explained that Muse Spark was…

…reasoning model, featuring an expanded 1 million-token context window and a user-readable chain of thought. The update improves accuracy across science, math, and multimedia benchmarks, surpassing DeepSeek-R1 but trailing OpenAI's o1 in…