--- title: "Agents Work. Now the Hard Part: Notes from LangChain…" url: https://daily.dev/posts/agents-work-now-the-hard-part-notes-from-langchain--cmz5x6chx source_url: https://8thlight.com/insights/production-is-the-new-prototype-notes-from-langchain-interrupt-2026 type: article source: "8th Light" published: 2026-05-18T13:47:32.132Z updated: 2026-07-16T02:13:15.009Z tags: ["ai-agents", "langchain", "langsmith", "llm-observability"] reading_time: 10 upvotes: 1 comments: 1 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Agents Work. Now the Hard Part: Notes from LangChain… **[8th Light](https://daily.dev/sources/8thlight)** · 10 min read · 1 upvotes · 1 comments ## Summary Notes from LangChain Interrupt 2026 conference, where companies like Lyft, Toyota, LATAM, Monday.com, and Box shared lessons from running AI agents in production. Key themes: observability must come before deployment (LangSmith as mandatory infrastructure), context management is the top architectural challenge (fewer tools beat large catalogs), evals are becoming the new CI/CD with compliance teams co-authoring them, cost is a first-class engineering concern (prompt caching, bounded retries, adaptive throttling), and workflow redesign delivers 20-50% gains vs. incremental automation. Toyota cut agent deployment from 6 months to 4 days by building a platform first. The consensus: the hard part is no longer building agents but operating them reliably at scale. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community discussion Top comments from developers on daily.dev. **@seyoungcho** · 0 upvotes > 100% agreed. It all comes down to business at the end of the day, not engineering itself ## Similar posts on daily.dev - [Three Years of Building Agents in Production \(Part 2\)](https://daily.dev/posts/three-years-of-building-agents-in-production-part-2--9uvhtnda1) · Mabl Engineering Blog · 2 upvotes · 1 comments - [Building and Deploying AI Agents in Production: Lessons I Learned](https://daily.dev/posts/building-and-deploying-ai-agents-in-production-lessons-i-learned-fmxhggdbm) · Medium · 1 upvotes · 0 comments - [Previewing Interrupt 2026: Agents at Enterprise Scale](https://daily.dev/posts/previewing-interrupt-2026-agents-at-enterprise-scale-nr4xrdowr) · LangChain · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langchain](https://daily.dev/tags/langchain), [#langsmith](https://daily.dev/tags/langsmith), [#llm-observability](https://daily.dev/tags/llm-observability) [View this post on daily.dev](https://daily.dev/posts/agents-work-now-the-hard-part-notes-from-langchain--cmz5x6chx)