Results for “context engineering”

…conversation, challenging the necessity of ChatGPT in certain contexts. Prompt Engineering Puzzles and Pitfalls: Users exchange methods for few-shot prompting and prompt compression, with an eye on structuring prompts in YAML/XML for…

…the founder and CEO of Command Code. His AI work centers on two engineering questions: how coding agents can learn a developer’s recurring preferences, and how engineers can build agents from reusable infrastructure primitives. Command…

…high-skilled immigrants, a view echoed in The Batch newsletter. Context Engineering over Prompt Engineering: @imjaredz highlights a tweet from Tobi Lütke suggesting that "context engineering" is a better term than "prompt engineering" as it…

…and making smaller models competitive. - Less manual workflow engineering: Better instruction following would allow more complex behavior to be specified in prompts; better error correction would reduce repetitive loops. - Harder…

…“copied” via outputs at scale (LiorOnAI). Related market/timing context: Some link the announcement timing to impending DeepSeek V4 news cycles (kimmonismus) and broader U.S.–China framing. Coding agents: real adoption, real failures, and…

…the bot could not ask follow-up questions and gather enough context to generate the right SQL. Keydunov started Statsbot as a side project while working at a school software company. His team already worked in Slack; he wanted statistics…

…centered around Mistral models, including clarifications on context size handling across different tokenizers like tiktoken, hardware recommendations, free availability concerns with LeChat, and inquiries into Mistral's open-source…

…bio funds and separate early-stage and growth vehicles provide context for its later organization around AI models, applications, and infrastructure. Historical foundations: from two partners to specialized funds a16z launched publicly in…

…and redteaming @Teknium1. svipno promotes a Machine Learning Engineering cohort starting in May, emphasizing the importance of MLOps and designing complex systems @svpino, @svpino, @svpino, @svpino. The focus is on building transformational…

…questions. He described retaining research material in long context for faster follow-up answers, returning to planning when more research was needed and using retrieval beyond the available context. Judging agents by the experience they…

…(in coinciding with Claude Tokyo). It is a feat of incredible engineering (and commitment to access) to make these research models GA, and the benchmarks are great… with asterisks. Here they are on yesterday’s brand new, out of…

…referral letters or handoffs. Abridge reported adoption of its context-aware clinical decision support by more than 300 enterprise health systems since its April launch; the systems’ represented patient populations were not counts of…