Results for “context engineering”

…distribution through product–model co-design. For software engineering, that means encompassing writing code, checking logs, debugging and iterating. He also criticized the earlier RL research community’s overfitting to benchmarks and…

…interactions over days, weeks or months, supported by a context engine and long-horizon planning. They described an unnamed US healthcare provider coordinating specialist referrals among patients, specialists and referring physicians—a task…

…Code began as an internal user providing feedback. Her earlier engineering and research-product work supplies context for that hands-on role. Earlier career and joining Claude Code Wu began her career as a product engineer at Scale AI and…

Chaitanya “Chai” Asawa leads engineering for AI clinical decision support at Abridge, a role he announced on January 5, 2026. His work centers on bringing patient context and clinical evidence into clinicians’ workflows. In a March 9 public…

…is an assistant professor in Computer Science and Electrical Engineering at Stanford University and cofounder of Physical Intelligence, a role she began in 2024. Her Stanford lab, IRIS, studies intelligence through robotic interaction at…

…applications, with more attention to data annotation, feature engineering, and model training; the later book concentrates on foundation-model applications, prompting, context construction, and parameter-efficient finetuning. Huyen presents…

…They had worked together at Google from 2017, with Lattner in engineering and Davis in product. At Modular, Lattner built the technology and engineering team while Davis concentrated on product, customer discovery, and business. They…

…manager could launch a coding session through Slack, but engineering could not see or join it because it belonged to the invoking user. Passing the work along required copying responses rather than handing over a shared working context.…

Dan Fu is an assistant professor of computer science and engineering at UC San Diego and VP of Kernels at Together AI. He leads UCSD’s SandyResearch Lab and works on making machine learning faster through hardware-aware algorithms and…

…of machine learning systems. That earlier experience provides context for his advice about the engineering effort surrounding a model. Earlier career: ML infrastructure and product design Hershey began his career at Ford, where he started…

…He argued that good documentation supplied agents with useful context while also improving the experience for human developers. For built-in tools, he described a commitment to stable interfaces while the team updated the models behind…

…tools perform identically. Earlier foundations: serverless engineering and SST Before this AI coding work, Raad wrote about serverless engineering and publicly discussed SST’s development. His personal website lists “How AWS Lambda Runs…