AI Briefing#harbor
The latest AI and developer news about #harbor, with the original source and a short summary.
The latest AI and developer news about #harbor, with the original source and a short summary.
The guide uses a coffee-ordering API example to show how to define tasks, run trials in Vercel Sandboxes, and analyze traces to fix agent failures.
Leaker Aaron Perris revealed evidence of Apple's 'Harbor' app, which reportedly turns Macs into private AI inference servers and pools memory across multiple devices via Thunderbolt 5.
The method uses a three-step process of defining pass/fail criteria, building datasets from real runs, and comparing baseline scores to detect regressions in agent behavior.
Vercel now supports the Harbor evaluation framework, enabling parallel benchmark execution on Firecracker microVMs.
The LangSmith team built ReviewBench, a benchmark for evaluating code review agents based on real PR reviews.
LangChain has released a benchmark framework for its open-source agent harness, Deep Agents.
LangChain has released the 'Eval Engineering Skill,' which automatically generates agent evaluations (evals) by analyzing repository structure and execution traces.
Harbor v0.4.19 has been released, supporting agent execution based on local inference backends and automatic injection of web search tools.
By combining Monorepo and GitOps, the team unified everything from FE development to deployment on a container basis.