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Red Hat AI 3.5 tackles the GPU queue that can stall AI pilots26m ago CNN Just Ran One of the Worst AI Puff Pieces We’ve Ever Seen in Our Lives About That “AI Actor” Tilly Northwood40m ago How Credit Genie keeps codebase docs fresh with OpenWiki41m ago Closing The Gap Between AI Ambition And Data Reality42m ago Universal Music is launching an AI music platform with ElevenLabs48m ago Top Pentagon Official Rejects Anthropic Researcher’s AI Warning2h ago Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale52m ago SpaceX sues to block release of tax-break records for its Texas Terafab project52m ago Salesforce closes Fin and eyes $2bn Listen Labs, Business Insider reports53m ago Google brings Gemini for desktop app to Windows54m ago AI’s Hidden Apprenticeship Tax (And How Firms Can Avoid It)57m ago Abacus.AI Releases Three Open-Weight Smaug Models for Agentic Workloads1h ago Clay raises $115m at a $7.1bn valuation, more than double its 2025 price1h ago Before AI Agents Take Action, Enterprises Need A New Data Rule Book1h ago

Agents Dev5 min reading time

LangSmith Engine Improves Agent Issue Detection by 2x

LangChainPublished 16 days ago

LangSmith Engine, an AI tool for analyzing production agent traces, has doubled its performance in detecting impactful issues and improved fix proposals by 25% since its May launch. It autonomously diagnoses problems, suggests fixes, and monitors regressions to streamline agent development.

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LangSmith Engine: How We Built an Agent for Improving Agents
15d· LangChain

#agentic-software-development #automated-debugging #langsmith-engine

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