Results for “context engineering”

…of fine‑tuning and inference workloads to wafer‑scale hardware. Context Is the New Prompt: Anthropic argued that effective context engineering—not just prompting—is critical for agent performance in Effective context engineering for AI…

Nik Pash was Cline’s Head of AI in May 2025. His public engineering work emphasized giving coding agents tools to explore repositories and letting capable frontier models handle edits directly. In essays and a July 2025 interview, he argued…

…of the UI, and finetuning output for as much of the writer’s context as possible to make it more useful. Latency matters, and cost matters, which are wonderful because these tend to be “regular engineering” type problems rather than AI…

…for meshes and point clouds. This earlier work supplies context for her 3D engineering experience before image and video segmentation.

…gpt-4o-2024-08-06, the newest 4o model released today with 16k context (4x longer but still less than the alpha Long Output model) and 33-50% lower pricing than 4o-May. We happen to run AINews with structured output via the Instructor…

Noah Hein is an AI engineering educator who led the first public run-through of Latent Space University material and co-created an AI fundamentals course with Latent Space for software engineers moving into AI engineering. Maven credits him…

…web apps in under 4 minutes flat, incorporating unlimited context via auto-offloading and recall, a feature launched on October 16th. User reactions varied, with some marveling at its speed and diving into context engineering, while others …

…search index. Beyang initially knew Steve Yegge through his engineering writing; a later talk connected Steve with the code-intelligence system he had used. Steve’s tooling interests reached back to a video game he began around 1995, which …

…larger tasks (cursor_ai). LangChain folks discuss “harness engineering” research: forcing self-verification/iteration, automated context prefetch, and reflection over traces as levers that change outcomes materially (Vtrivedy10). Deepagents…

…large language model (LLM) applications combines sound software engineering with experimental machine-learning practice. Evaluations start by defining success: specify the objective, decide how to measure it, and connect that measure to the…

…that 8B and 70B parameter versions are available, supporting 8K context length. An open-source code interpreter for the 70B model was also shared. Llama 3 outperforms previous models in benchmarks: Benchmarks shared in /r/LocalLLaMA show…

…tasks and draft documents across multiple pages, drawing context from the workspace, connected tools and the web within the user’s permissions. Instructions and memory used Notion pages and databases. Notion advertised more than 20 minutes …