Python

Every developer builds automation. The question in 2026 is not whether to automate, but which tool to reach for first. The options have multiplied: Zapier is ubiquitous but expensive. Make is more powerful but more complex. n8n offers self-hosting and developer control. And then there is the perennial answer: just write Python. Add LLM integrations to the equation and the decision gets more interesting, because the right tool for automating a simple two-step workflow is very different from the right tool for a multi-step AI pipeline that classifies emails, generates responses, and routes them through an approval workflow. ...

Most LLM applications start simple: one prompt, one response, ship it. Then requirements grow. The task needs to search the web, then read the results, then decide whether to search again, then synthesize everything. You add more logic. Then you need one agent to write a plan and another to execute it. Suddenly you are managing state, routing decisions, and failure modes across multiple LLM calls, and a simple chain is not the right abstraction anymore. ...