---
title: "Inside One Engineer’s Journey to Master Long-Running Agents"
url: https://daily.dev/posts/inside-one-engineer-s-journey-to-master-long-running-agents-e9hvdhls6
source_url: https://careersatdoordash.com/blog/engineers-journey-long-running-ai-agents
type: article
source: "Doordash"
published: 2026-06-23T09:25:44.973Z
updated: 2026-06-23T23:58:32.466Z
tags: ["ai-agents", "prompt-engineering", "claude-code"]
reading_time: 23
upvotes: 0
comments: 0
language: en
---

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# Inside One Engineer’s Journey to Master Long-Running Agents

**[Doordash](https://daily.dev/sources/doordash)** · 23 min read · 0 upvotes · 0 comments

## Summary

A DoorDash engineer shares his personal journey from using Cursor for AI-assisted coding to mastering long-running autonomous agents with Claude Code. After failed experiments with multi-agent teams (which produced inconsistent, unusable output due to lack of shared context), he discovered the Research-Plan-Implement (RPI) framework, the agent loop pattern, and antagonistic reviewers in fresh context windows. These insights led him to build Agentic Orchestrator — an open-source TUI state machine that drives features through phases (knowledge base → inquiry → research → design → roadmap → planning → implementation → review) with git worktree isolation, crash recovery, and deterministic phase transitions. The post also candidly addresses the cognitive toll of high-density agentic workflows, warning that AI amplifies work density rather than reducing hours, and offers practical advice for developers starting with autonomous coding agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://careersatdoordash.com/blog/engineers-journey-long-running-ai-agents>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#claude-code](https://daily.dev/tags/claude-code)

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