Ask HN: How to Claude Like Anthropic

I just received an email from Anthropic. Besides the usual new feature ad, there is a piece that I find quite amusing:

> How to Claude like Anthropic

> "My daily driver currently looks like: two lead agents that keep each other accountable and restart the other if either fails. These delegate to tech lead or PM agents for the 8-10 projects I'm running at any one time, and each project has 5-10 IC agents, generalists or specialists depending on the problem. Across all of these I'm still only doing 30-50 prompts per day, and my IC agents typically work autonomously for 2-3 days. About 60% of my interaction is with the leads, 35% with a project lead, and 5% is when something has gone off the rails. All of these agents communicate directly with the SendMessage tool."

> – Daisy, Engineer on Claude Code

This sounds very foreign to me because it couldn't be more different from how I use Claude Code. My current workflow is:

- For a new feature, I create a session, and depending on the complexity, I will either use plan mode or something else like Superpowers to brainstorm, work out the requirements, and create a plan/spec. This process typically makes up most of my interactions with the agent.

- Then, after it implements the feature, I open a new session, use my own skill to review the PR, and post the findings on the PR.

- Once I have the PR comments, I give them back to the original session and use another matching skill to give a verdict on the findings and attempt to fix them. This process will typically happen back and forth for ~3 rounds.

- Once the reviewer session is happy, I ask the original session to perform an E2E test plan that covers everything it has implemented.

I feel like my workflow is not automated enough, and my verification loops are still too manual. But I also feel more reassured this way because I read every report and have a general sense of the quality of the PR without having to read the code.

Does anyone here use a similar workflow to Claude, that utilizes specialized agents instead of just the general-purpose one? Can you share your experience? Do you have a guide/blog I can read to learn more about it?