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Continually improving our agent harness · Cursor

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Models need a harness to become fully useful, and improving that harness means continuously iterating on context, evaluation, and model-specific tuning.

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BlogsImproving Composer through real-time RL · CursorCursor BlogsSpeeding up GPU kernels by 38% with a multi-agent system · CursorCursor BlogsHow we set up our cloud agent environment · CursorCursor BlogsGoverning agent autonomy with Auto-review · CursorCursor BlogsCursor earns AIUC-1 certification for agent security and reliability · CursorCursor BlogsAgent swarms and the new model economics · CursorCursor EventsWebinar On DemandStop hardcoding. Start governing: Developer secrets and AI Agents at scale1password News1Password and Anthropic Bring Secure Credential Access to Claude, letting an AI agent use approved1password PodcastsDuckDB's Agent Moment with Jordan Tigani | MotherDuck | MotherDuckMotherduck BlogsUser-centric performance metricsWeb BlogsHow to Create and Use an AI Git AgentDocker BlogsThe case for a cloud native agent harnessCncf News1Password Joins Snowflake to Tackle AI's Next Security Frontier: Trusted Agent Interoperability1password News1Password Launches Unified Access for AI Agent Security1password BlogsHow Tailscale is improving NAT traversal (part 1)Tailscale BlogsAI Agent Analytics with Vercel & MotherDuckMotherduck BlogsShorter Feedback Loops Developing Java Apps with Digma's Free Docker Extension Shorter FeedbackDocker BlogsIs a Pod the right deployment unit for an AI agent?Cncf BlogsHow to Get More Real Estate Listings: Agent's GuideHeygen NewsStyra Extends Open Policy Agent Security to Public CloudsThenewstack