Results for “agents”

…and proposed an architecture for meaningful human oversight of agents. His 2026 AI Engineer World’s Fair talk, “AI’s Jurassic Park Period”, addressed a practical failure: an agent can operate within its technical permissions while violating…

…also shaped the interface. Selvan said the team wanted agents to explain their intended work upfront and to be “very publisher forward”: users could open the websites being read while research was underway. The side-by-side report and chat …

Abhishek Bhardwaj built Arrakis, a sandbox system for AI agents that combines isolated code execution with the ability to restore earlier execution states. The AI Engineer WF 2026 speaker record identifies him as @abshkbh, working in Agent …

…local and hybrid deployment system covering inference, chat, agents, document retrieval, search, image generation and operations. Osman leads the company alongside founder and COO Michael J. Bradley. ODS’s project credits distinguish…

…code and making execution and debugging tools accessible to agents. Infrastructure that agents can operate By July 2026, Bubna said Modal had changed its SDK team’s focus to “agent experience.” He argued that agents benefit from the same…

…a superpower. That experience helped motivate the team to bring agents to people who already used ChatGPT: Codex’s usefulness beyond software development had become apparent earlier than they expected. His earlier work on ChatGPT Enterprise…

…Mindpilot MCP, which renders diagrams generated through coding agents, alongside the executable-specification project okcmd and the terminal coding agent Cogent. Visualizing AI-generated code Mindpilot MCP accepts Mermaid syntax and renders…

…environments and optimization systems for reliable agents. His stated ambition for open reasoning models includes access to their training data. On his personal homepage, he points to DeepSeek-R1's unreleased reasoning data and describes…

…Fair, Embiricos and Romain Huet argued that using multiple agents through loops could improve productivity. Embiricos emphasized connecting agents to the reason for a task and to the steps that follow coding. As Latent Space reported, he…

…and chief operating officer of Raindrop, which monitors AI agents for silent failures and connects alerts to conversations and traces engineers can investigate. She founded the company alongside Zubin Koticha and Ben Hylak. Her public…

…about trustworthiness and maintainability. He argued that agents should expose their work for inspection and intervention, respect existing architecture and conventions, and make long-term code quality a priority. The article explained the …

…with designing websites for different screen sizes. Auditable agents and human review In 2023, Sanger favored agents that worked in small, understandable steps whose outputs users could inspect and correct. Producing a large body of code at…