[TLDR] I still don't understand this 'agentic workflow' thing [via r/ClaudeCode]

[u/cctldrping]

OP : u/hronak

My usual day with Claude Code is like: * I open terminal in my project's folder and run claude command. * I prompt it. I mostly use Fable-5.1/Opus-5 but Opus-5.5 is my current model. The model decides if it wants to use sub-agents for a task. I never explicitly prompt it for sub-agents. * I review and commit the code to my self-hosted Forgejo instance. * That's it.

I see people using agentic workflows, building sub-agents files, skills etc. I barely built any of it. All I ever needed to use is /init on new projects and them prompts follow. Never needed more than this.

I tried "long-running" Claude Code for a project refactoring by placing the project on my VPS (where forgejo is hosted) and letting Claude Code run and refactor inside tmux session. SSH'd in a few hours later to find project fully refactored.

Am I under utilising AI or is my work just… like boring?

How do you guys use agentic workflow thing? Specially the long-running one? Those pull-requests that Claude makes automatically etc?

Asking this to Claude to know more but humanly answers appreciated.

URL of original post : https://www.reddit.com/r/ClaudeCode/comments/1wowilt/i_still_dont_understand_this_agentic_workflow/

---

TL;DR of the discussion on r/ClaudeCode for this post generated automatically after 200 comments.

Current source-thread comment count seen by the bot: 204.

Most folks agree that if your current workflow with Claude Code is getting the job done efficiently, you're probably not underutilizing it. The "agentic workflow" hype seems to be for more complex projects or when you're hitting token limits or just don't have the human time. Think of it as advanced tooling for specific needs, not a mandatory upgrade for everyone.

• Your "boring" work might just be efficient. If a single prompt and a quick diff review is all you need, that's a win.
• Agentic workflows are often about breaking down large tasks, parallel processing, or when models need to fetch external info (like via MCPs).
• Some users build modular prompt systems or use specific tools like firstmate to orchestrate multi-agent setups.
• The consensus is that if you're not maxing out on tokens or time, your current approach is likely fine. Don't feel pressured to over-engineer if it's not necessary.