Results for “context engineering”

…as chief technology officer in August 2024, overseeing its engineering and data organizations. In his April 2026 interview, he explained his preference for agents that critique one another, reproducible experimentation and customer…

…and believed that required being close to the relevant data and context. Financial services, he said, was sufficiently closed to outside access that meaningful innovation required working inside the industry. In his June 2024 interview, he …

…on cloud infrastructure at Workday after studying Computer Engineering at UC Santa Barbara. He subsequently founded Paneau with Alec Fong; the company joined Y Combinator’s Winter 2020 batch and placed advertising tablets inside Uber and…

…AI-relevant work includes explaining editable language-model contexts, opening the editor to third-party agents, and developing collaboration around conversations with agents. His public argument is that easier code production should raise …

…2025 conference talk, Abraham explained CloudChef’s collective engineering approach: fine-tune robot foundation models for actions such as picking and stirring, use teleoperation for edge cases, and represent recipes as state machines…

…and credited Patrick Steyn for event organization. 2025–2026: Context engineering at Contextual AI Before joining MongoDB, Lopatina worked at Contextual AI. In a December 2025 Latent Space interview with swyx, she discussed context…

…at OpenAI, with Google Gemini co-leadership and Google VP Engineering among his previous roles. His earlier work at Google provides context for these contributions: before developing neural architectures, Shazeer worked on language modeling…

…deciding whether a generated automation works is both an engineering and a product problem. For AI Zap Builder, which generates workflows from prompts, the team translated product priorities into evaluation criteria: choose the right…

…corporation aimed at automating machine learning, science and engineering. Vinyals’s earlier collaborations provide context for that transition: in 2014–2015, he worked on methods for learning sequence transformations and making ensembles…

…bases that multiple agents can access through the Model Context Protocol (MCP), reducing the need to rebuild connectors and retrieval logic for each application. The team’s iterative retrieval engine batches queries, ranks passages…

…Space, he argued that making agents more capable through “skill engineering” should preserve people’s involvement in the creative process. Human judgment in AI design Bakaus made a concrete commitment about Impeccable’s direction in that…

…individual pass-or-fail test cases. Model efficiency and engineering judgment Ludwig distinguishes offboard models, which can run on large computing systems without a vehicle’s immediate deadlines, from onboard models, which must answer…