Inside Rippling's four-layer agent eval pipeline: ~10 critical scenarios gate every deploy
LangChain · x · 2026-08-27
LangChain shared how Rippling evaluates its agents in production, split across offline/online and timing:
- Offline evals: pre-recorded mocks and fixtures run locally on every commit with no external dependencies.
- Post-merge integration evals (online): 300-400 queries against a full Rippling sandbox validate system health before deployment.
- Deploy-blocking evals (online): 10 critical scenarios against real systems gate every deployment.
- Continuous evals (online): scheduled runs against production data multiple times a day monitor live health.
Related event: Ripping Went All-In on AI in Six Months with Deep Agents and Layered Evals(2 posts)→
More from coding & agent
- Kimi Releases Workflow Tutorial #3: Swarm, Plugins and Local Project Sync — Kimi_Moonshot · 2026-10-15
- Dev bills $20,000 for an app built with $200 of Claude Code — IgorCarron · 2026-10-15
- Dan Shipper: run product and labs in parallel, even with a labs team of one — danshipper · 2026-10-15
- Gemini 4 Argon wrote 5,000+ lines of pure Python to build its own ray-tracing 3D engine — aitrendz_xyz · 2026-10-15
- Minecraft fully ported from Java to Rust, file by file, server and client included — Vjeux · 2026-10-15
- mitsuhiko builds a full Python IDE for iOS in an afternoon with new AI models — mitsuhiko · 2026-10-15