Results for “context engineering”

…the subject. In the interview’s example, a fan discussing an engineering project might elicit accurate recollection of that project—or an invitation to return attention to the interaction. Additional heuristics were needed because the…

…tools for the entire software development lifecycle. His engineering loop starts with two questions: where does the agent make mistakes, and where does a human repeatedly intervene? The next step is to automate that work and build…

…teams and helped Monolith apply machine learning to physical engineering. At McLaren, that included surrogate modeling: investigating whether neural networks could replace expensive simulation solvers. He credits company work with grounding…

…is substantial research work in its own right. - Open-source engineering that accumulates across projects. Academia could strengthen open alternatives to large companies, but dispersed effort and poor coordination limit its contribution.…

…role. He credits his founder experience more than his front-end engineering background for preparing him: the job requires business judgment and leadership alongside technical depth. Brex’s Quitters Welcome recruiting proposition extends…

…number two, and stayed almost six years, eventually running engineering. He later ran Impira for six years, spent eight months at Figma after its acquisition, and reached Braintrust’s first anniversary. Looking back at SingleStore, Goyal…

…cleanest option. LangChain’s intended value lies in assembling context-aware reasoning applications, where abstractions help but also introduce complexity. Visibility was a deeper problem. Prompt and data engineering become harder when…

…may not describe each image precisely, yet the elements share context. Building that sequence requires deciding which page content to keep and cleaning it carefully. The distinction mattered by task. In the team’s experiments, LAION-style…

…Bottlenecks: Rewards, Tokens, and Systems Josh McGrath on the engineering behind reinforcement learning, efficient agents, and useful long context, in a conversation at NeurIPS 2025.

…be inserted into Cody’s long-running enterprise contracts. The engineering separation mattered just as much. Cody followed the Sourcegraph platform’s cloud and on-premises release cycles. Amp could ship independently; Ball reports roughly…

…can contain everything needed for one query while excluding context needed for another, and suggests grep as an alternative. Its proposed scaling advantage remains a conjecture. The shared recommendation is to make semantic search one tool …

…to ChatGPT's audience: users can delegate tasks with access to context and tools, then supervise execution. But an unrestricted prompt box gives little guidance about what to attempt. Akshay argues that the interface must start with tasks…