How to really stop your agents from making the same mistakes (via @garrytan)

kept by eddie apr 23

LangChain's LangSmith testing platform uses trajectory evals and trace-to-dataset pipelines to prevent AI agents from repeating mistakes, despite its high valuation and funding.

Give your agent its own computer
LangSmith Sandboxes give each AI agent its own hardware-isolated microVM with filesystem, shell, and package manager, enabling secure code execution without risking host infrastructure.
also on Langsmith, LangChain, #ai-agents, #software-engineering, #developer-tools
Open SWE: An Open-Source Framework for Internal Coding Agents
LangChain releases Open SWE, an open-source framework for building internal coding agents that mirrors patterns from Stripe, Ramp, and Coinbase production deployments.
also on Langsmith, LangChain, #ai-agents, #software-engineering, #developer-tools
A New Era of Software Quality Starts Today
Momentic launches a rebuilt autonomous testing platform with memory, knowledge base, and AI agents that understand product behavior to close the QA gap caused by AI-accelerated code shipping.
also on #testing, #ai-integration, #software-engineering, #developer-tools
Test, don't (just) verify
AI-assisted formal verification shows promise but faces limitations — autoformalization trust, proof assistant speed, and model complexity — making random testing a necessary complement.
also on #testing, #ai-integration, #developer-tools
Technical Deflation
Falling AI costs and rising capability create technical deflation, where building software gets cheaper over time, incentivizing startups to delay development.
also on LangChain, #ai-integration, #software-engineering, #developer-tools