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May 14Thu81–83
  1. LangChain Blog73

    LangChain is conducting a public beta of Managed Deep Agents on LangSmith Cloud.

    LangChain launches Managed Deep Agents on LangSmith Cloud. Users write intelligent agents as Python projects consisting of files like agent.py, instructions.md, skills/, and deploy them with a single command mda deploy, provided with persistent threads and streaming execution by LangSmith Agent Server.

    Why it matters: The original text explains how to organize the agent project by files and deploy it to LangSmith with one click, as well as the infrastructure managed runtime that takes on the basics for the team.

Jan 14Wed
  1. Anthropic Research67

    Anthropic uses Claude with property testing to find bugs in the Python ecosystem

    Anthropic's research team developed an agent based on Claude Code custom commands, which infers the properties that code should satisfy by reading type annotations, docstrings, and comments, and then uses Hypothesis to write property tests, discovering hundreds of potential bugs in over 100 popular Python packages such as NumPy, SciPy, and Pandas.

    Why it matters: Anthropic uses Claude agents to automatically write property tests to find bugs in packages like NumPy, SciPy, Pandas, and provides the efficiency after manual review and merged fixes

Oct 6Mon
  1. Anthropic Research71

    Anthropic open-sources security audit tool Petri

    Anthropic has released an open-source auditing tool, Petri (Parallel Exploration Tool for Risky Interactions), where automated agents test target models through multi-round dialogues, and then LLM reviewers score them based on safety dimensions and select the most worthy dialogues for manual review.

    Why it matters: Anthropic has open-sourced the automated auditing tool Petri and provided cross-comparison results for 14 cutting-edge models on behaviors such as deception, sycophancy, and self-preservation.