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Meta launches Muse Wonder and Muse Wonder Full for agentic tasks and frontier coding

Muse Wonder is live today on the Meta Model API and Muse Code (Wonder Full for Muse Code subscribers), aimed at personal and professional agents with Active Memory, Active Focus, and frontier coding for building apps and games. Meta says both models lead on agent, memory, and coding benchmarks and will soon power more of Muse for subscribers first.

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DigitalOcean Signals and Simulations turn production agent failures into multi-turn evals before you ship

Signals (public preview) watches Managed Agents and Inference Engine traffic for interaction, tool execution, and infra failures, then one click exports flagged sessions into Evaluations scenarios. Simulations replays those multi turn conversations in Harness Runtime sandboxes against Claude Code, Codex, or OpenCode candidates so you can grade a fix before users see it…

DigitalOcean Blog

Microsoft's Cabra benchmark finds code understanding, not edit volume, is what trips up coding agents

Across 6,840 synthetic call graph refactoring tasks, six agents in Copilot's harness stayed near perfect by scripting around size with tools like grep , while plain LLMs degraded; on SWE bench Verified traces, the count of read and analyze tool calls predicted failures better than lines edited. A new task that merges two near identical classes finally broke the agents, and code plus data are open at github.com/microsoft/CABRA…

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