@LangChain, previously @robusthq @kensho MLOps ∪ Generative AI ∪ sports analytics
Posts tracked from 7/29/2025 to 3/13/2026
Posts Analyzed
81
Platforms
3
Total Followers
92,552
Positive Sentiment
40%
32 positive of 81
Harrison Chase is CEO of LangChain, a foundational framework for building AI agents and orchestrating large language models in production environments. His expertise spans MLOps, generative AI infrastructure, and practical deployment challenges, with a focus on how UI/UX design and developer experience impact agent effectiveness. Chase is recognized for advocating that moving from prototype to production-grade systems requires substantial engineering investment beyond initial proof-of-concepts.
loved this from @karpathy over the weekend I built "autoresearch but for agents" Same idea — give an AI coding agent your agent code + an eval dataset, let it experiment autonomously overnight. It m
A developer built an automated research system for AI coding agents that autonomously improves agent code overnight using evals and LangSmith. The system keeps improvements and discards regressions without manual intervention.
Guidance
framework · 21,364 stars
