Results for “context engineering”

…exchange on confining RAG-based chatbots solely to the document context, with strategies like prompt engineering and inspecting chat modes. Optimizing Knowledge Graph Indices: One user faced extended indexing times using the knowledge graph…

…+ tool definitions often suffice, shifting effort toward context engineering and good defaults (diptanu, Weaviate definition + context engineering angle). Packaging agents is the missing primitive: @hwchase17 argues that **agent.md +…

…as an open-source 770B MoE model with 49B active params and >1M context, emphasizing gains in coding, agent stability, and practical office/research use. The notable engineering claim is not just capability but organizational acceleration: …

…by pradeep1148, which does not contribute to the technical or engineering discussions. [N.B.: The shared YouTube video from the #off-topic channel did not contain enough context to assess its relevance to the technical discussions.] PART 2:…

…+ adapter, with a paper forthcoming. The authors argue strong context engineering lets smaller models match or beat larger ones in realistic workflows. They claimed "with proper context engineering, small models can match/beat the big…

…twice in a row, but Eugene Yan kicked off a discussion on AI Engineering: Which resulted in the longest ever thread on the topic: The central confusion is the high degree of overlap between what are traditionally software engineer skills…

…the open model war, it seems. AI Twitter Recap China’s long‑context coding surge: Kimi K2‑0905 and Qwen3‑Max preview Moonshot’s Kimi K2‑0905 (open weights) ships a practical agents upgrade: Kimi doubled context to 256k, improved coding and …

…APIs, navigatorr. Commenters generally framed this as prompt/context sensitivity rather than robust policy enforcement: showing a “precedent” shifted the model from a moral/safety interpretation to an engineering-replication task. Several…

…performance and speed (throughput tokens per second & latency), context window & others.Transformer Circuits Thread: no description foundGitHub - stas00/ml-engineering: Machine Learning Engineering Open Book: Machine Learning Engineering…

…Twitter Recap Agentic coding and IDEs: GPT‑5 Codex rollout, IDE context, MCP everywhere GPT‑5 Codex, big surface area, mixed DX: Developers report impressive agentic capabilities and front‑end generation demos alongside frustrating harness …

…and AgentWorldBench, with a 35B MoE / 3B active, 256K context model. One notable result: single-turn environment prediction transfers to multi-turn agent tasks with gains across both in-domain and out-of-domain benchmarks, as summarized in …

…reasoning and planning, Devin can plan and execute complex engineering tasks requiring thousands of decisions. Devin can recall relevant context at every step, learn over time, and fix mistakes." Ashlee Vance's reporting quotes: "Wu…