Results for “context engineering”

…was it can learn and retain specific knowledge within the context window. ▷ #prompt-engineering (7 messages): Understanding Prompt Engineering: Users discussed the concept of Prompt Engineering with @adrshr7 stating it involves "asking the …

…Staff and co-creator, with Justin Spahr-Summers, of the Model Context Protocol (MCP). Released as open source on November 25, 2024, MCP gives AI applications a common way to connect to external tools and data. It addresses a practical…

…making Claude prone to errors due to vague instructions or context. The suggestion is that better results depend on precise and focused context engineering, with prompts that tightly define scope to avoid Claude making mistaken assumptions …

…Those models remain one component of a larger pipeline, making context utilization a practical concern: can a new model actually use the information supplied to it? Context utilization means successfully using information inside a prompt,…

Part of our Inference Engineering Masterclass pod yesterday involved a spicy discussion about Megakernels: megakernels are deadwhy are megakernels useful? you spend two months writing a kernel to save time on launch overhead and poor…

…consequential tasks while retaining control over execution, context, and architectural decisions. HumanLayer combines coding-agent sessions, plans, and code diffs in a collaborative IDE and cloud environment. Engineering reliable agents In …

…revolved around continual pretraining recipes for scaling context lengths, with a focus on data engineering approaches highlighted in this paper. An arXiv paper proposed cost-effective techniques like learning rate warming and data replay…

…Kant founded and served as CEO of Athenian, a data-enabled engineering platform. That earlier work provides context for his later discussion of engineering productivity: alongside research on code models, his career included building a…

…research architecture. LangChain highlighted advances in context engineering and production AI agents used by LinkedIn and BlackRock. The community is engaging in a debate on multi-agent AI development. Additionally, Hugging Face announced …

…with AI agents, with a growing emphasis on helping product and engineering teams build with their companies’ existing code and design systems. Choosing professional product teams In a February 2026 interview, Simons described a…

…of Factory.ai. They are building droids for autonomous software engineering, handling everything from code generation to incident response for production outages. After raising a $15M Series A from Sequoia, they just released their product …

…in five or ten minutes; if not, do not assume the agent can. Context engineering here means selecting useful information from a large enterprise corpus for the model to work with. Putting every potentially relevant file into the prompt is…