Everything in its place: Making agents write correct Temporal applications
Aug 26, 2026Mason Egger
Summary
This post details how to leverage AI agents and Temporal's developer resources (Skills, Samples, MCP) to build robust Temporal applications. It emphasizes providing agents with the right context (Temporal Developer Skill, SDK Samples Repositories, Temporal Knowledge Base MCP server), guardrails, and clear objectives for successful development. The core idea is to improve the quality and correctness of AI-generated Temporal code by feeding the agents curated and canonical information sources.
More from the ML Workflow Orchestration trail
- Durable RAG and agents: MongoDB and Temporal doing it better together
- Chaining Activities — from text to vectors
- How XY builds an AI agent orchestration platform for healthcare with Temporal
- Inside the Google ADK and Temporal integration
- Building observable AI agents: Temporal now integrates with Braintrust