Inngest or Diagrid Catalyst: From a TypeScript AI Workflow to an Enterprise Agent Platform
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A five-person team usually picks the infrastructure it never has to think about, and that is the right call. It stops being the right call on the day the first enterprise customer asks where the agent runs and who is allowed to authorize its tools. At prototype stage, Inngest is easy to understand. You write functions in TypeScript, Python, or Go, split durable work into steps, and let the platform deal with state, retries, flow control, and observability. Its current durable-agent model uses…
1Key Takeaways
- A five-person team usually picks the infrastructure it never has to think about, and that is the right call.
- It stops being the right call on the day the first enterprise customer asks where the agent runs and who is allowed to authorize its tools.
- At prototype stage, Inngest is easy to understand.
- You write functions in TypeScript, Python, or Go, split durable work into steps, and let the platform deal with state, retries, flow control, and observability.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that a five-person team usually picks the infrastructure it never has to think about, and that is the right call.
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