LangChain: Build Agents by Lifecycle
LangChain · x · 2026-07-18
LangChain argues that Agents are not regular software because they handle massive inputs and produce non-deterministic outputs. Building them using traditional software methods is prone to failure.
They propose an agent development lifecycle centered around LangSmith:
- Build: Construct the agent
- Test: Test behaviors and outcomes
- Deploy: Launch and deploy
- Monitor: Continuously monitor
The core takeaway is that agents require a dedicated engineering process, rather than the single-release mindset of traditional software.
More from coding & agent
- LangChain and Tavily to co-host NYC event on production agents using live web data, Nov 12 — LangChain · 2026-10-26
- Dev hacks reMarkable e-ink tablet to let Opus draw and animate — Stefania_druga · 2026-10-26
- Godot games are trivially decompilable — compile C# to native DLL for real protection — mflux · 2026-10-26
- Techhalla shares full 2D-to-3D workflow with Opus 5.5 and Kling 4.0 prompts — techhalla · 2026-10-26
- Jason Furman: Building Econvitals pre-AI would need ~50 people, 3 years, $20M — HarrySurden · 2026-10-26
- Dev dictates to Claude Code for 4+ hours while riding indoor bike in aero position — jacob_posel · 2026-10-26