Agents
https://x.com/Vtrivedy10/status/2041927488918413589
The specific post at status ID `2041927488918413589` could not be retrieved directly, as it did not appear in search results. However, based on the surrounding context from the same account (@Vtriv...
The specific post at status ID 2041927488918413589 could not be retrieved directly, as it did not appear in search results. However, based on the surrounding context from the same account (@Vtrivedy10, Viv at LangChain), here is a best-effort knowledge base entry drawn from closely related content:
Viv (@Vtrivedy10), a member of the LangChain team, regularly shares insights on agent harness engineering, debugging practices, and the deepagents open-source framework. A key theme in her posts is the use of LangSmith traces to diagnose agent issues — including logical errors, tool call failures, and LangGraph internals — shifting teams from intuition-based to engineering-driven agent improvement. Her work centers on empowering builders to create task-specific agent harnesses using open models and open infrastructure, with LangChain's deepagents-cli serving as a primary vehicle for this approach.
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2041927488918413589was not accessible via search (it may be too recent or require authentication). The summary above reflects the strong thematic context from the same author and feed. Please verify the specific post directly if precision is required.
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- here's how we're improving our base harness, you can apply these same lessons to hill-climbing for your application-specific harness!
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- https://x.com/ashpreetbedi/status/2041568919085854847?s=46 great related write up from a team that pushes taking a rigorous systems engineer…
Source: agents