Receipts · 1
- Vendor case study blog.langchain.dev
Show quotes (1) Hide quotes
-
“Lovable turned to LangSmith to gain comprehensive insights into its agentic chain” — blog.langchain.dev, Mar 25, 2025
Source last verified Nov 2, 2026
AI app builder turning prompts into full applications.
Every app generation session in Lovable is served by Modal Sandboxes, which run LLM-generated code in safe, isolated environments. As usage grew, the team added LangSmith for visibility into the agentic chain behind those sessions — including an admin-only "open prompt in LangSmith" button that pulls detailed traces — so any production session can be replayed action by action, and a spike in the monitoring charts can be traced back to the request behind it.
lovable.devSources last verified Nov 2, 2026
Receipts · 1
“Lovable turned to LangSmith to gain comprehensive insights into its agentic chain” — blog.langchain.dev, Mar 25, 2025
Source last verified Nov 2, 2026
Runs LLM-generated app code in safe, isolated sandboxes.
Receipts · 1
“Modal Sandboxes are now used to serve every app generation session in Lovable.” — modal.com, Jul 7, 2025
Source last verified Jul 27, 2026