Results for “agents”

…infrastructure, model orchestration, and evaluation of voice agents. In his public engineering writing, he treats response speed, reliable tool use, and conversation context as connected requirements: a model that answers correctly can…

…who leads internal AI adoption and advocates using coding agents across the work of creating software. He became GitHub’s Chief Operating Officer in April 2023; in June and July 2026, he also held Microsoft’s CMO of Developer role. His work…

…deployment decisions around quality, cost, and latency. For agents, the unit of consideration is the workflow, including repeated model calls, context lengths, and latency requirements. His approach is to establish the required quality and …

…experiments. His subsequent AI work includes using coding agents to update production software and testing where model-generated game design breaks down. He uses the handle kkukshtel on Twitter and GitHub. Kukshtel's personal website, as of…

…In April 2026, he coauthored Anthropic’s account of Managed Agents with Gabe Cemaj and Michael Cohen, describing how the team separated agent harnesses, execution environments, and durable session history. A practical vocabulary for context…

…addresses how to build useful LLM applications and decide what agents should optimize. Writing as seldo, he has advocated grounding models in task-specific information, using ordinary code where possible and keeping human judgment central…

…and Varun Mohan coauthored Google’s announcement of managed agents in the Gemini API and AI Studio. The agents combined reasoning, tool use and code execution in isolated Linux environments; follow-up calls could resume files and state. The…

…As Vercel’s CTO in 2025–26, he advocated narrowly scoped agents, ordinary code for deterministic tasks, and security boundaries that keep generated programs away from credentials. He also coauthored accounts of v0’s evaluation practices and…

…sometimes work around the need for a larger window. His view of agents likewise centered on outcomes: adding nodes to a workflow should improve its probability of success, rather than merely adding language-model calls. He identified…

…specialized model training. Building a common layer for agents Zaharia helped bring coding agents and custom enterprise agents into a shared infrastructure project, Omnigent. In his June 2026 Latent Space interview, he explained how two…

…language-model jailbreaks and indirect prompt injection against agents. At Gray Swan, he works with cofounder Zico Kolter on testing AI vulnerabilities and enforcing policies on model and agent behavior. From chatbot safeguards to agent…

…He said multi-scale modeling, laboratory automation and agents had become additions to the design, with agents searching chemical literature and orchestrating computations and experiments at varying stages of maturity. Welling emphasized…