Results for “context engineering”

…performance, dual-mode reasoning (think/no-think), and long context capabilities. The team published a detailed "engineering blueprint" explaining the development process. MLX saw day-zero support, with @awnihannun noting it's "blazing fast…

…probably has a good list of the top 6: Putting Repo state in Context (eg recent commits, git branch info) Aggressive cache reuse Custom Grep/Glob/LSP (standard in industry) Claude code has less than 20 tools default on (up to 60+ total):…

…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 …

…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 …

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…

…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…

…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 …

…itself. OpenAI ▷ #prompt-engineering (79 messages🔥🔥): Prompt Engineering for Classification Tasks: A user inquired about optimizing context within a prompt for a classification use case and is seeking methodological ways to test different…

…with a visual drag-and-drop interface powered by LlamaIndex.TS. Context Engineering & DSPy: The concept of Context Engineering is gaining traction, with @douwekiela defining it as the critical infrastructure layer between data and models.…

…vs. work” products. Open Models, Coding Agents, and Harness EngineeringStealth/open-ish coding models are compressing the price-performance curve: @cline added Union Alpha as a free model with 256k context, multimodality, and agentic-coding…

…done by Claude 3 Opus, best of 4 runs Automating Software Engineering Andrej Karpathy outlines a progression of increasing AI autonomy in software engineering, similar to self-driving, where the AI does more and the human provides oversight…

…Code. Anthropic emphasizes efficient code execution with MCP. Context engineering shifts focus from prompt writing to model input prioritization, with reports and tools from Weaviate, Anthropic, and practitioners highlighting…