Results for “context engineering”

…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…

…prototypes and web apps; an MCP server that supplies design context to coding agents; and tools that let agents edit Figma files. Founded by Dylan Field and Evan Wallace in 2012, Figma began NYSE trading in July 2025 and reported $1.056…

…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.…

…back into focus, at a potentially much larger scale. AI engineering is presented as an emerging specialization, analogous to frontend, DevOps, and data engineering. The economic argument is that scarce research talent and GPUs concentrate…

…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…

…plan. His work combines autonomous code generation with engineering controls: bounded tasks, validation feedback, and human intervention when the agent builds the wrong thing. He also teaches developers how to build coding agents…

…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…

…and agents. Its central technical foundation is company context: retrieving relevant documents, conversations, and relationships within a user’s access rights before a model answers a question or performs a task. That foundation began with …

…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…

…Stripe combined infrastructure development with recruiting and engineering management. His 2014 account provides earlier context for how he divided technical work and organizational responsibility. Earlier career: Stripe, 2010–2015 Brockman…

…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…

…periods, without specifying a model, provider, or workload. The engineering task is to make the application responsive and reliable despite unpredictable timing, formats, and meaning. Elicit applies language models to scientific work and…