Anthropic engineer showed how one person can run 5 AI agents, that code, test, review, and deploy at the same time. In 30 minutes they built the whole thing live in one session. Here's what they cover: > when to use one agent vs a full team > how... to split work so agents don't step on each other > the exact framework for deciding what each agent handles that's exactly why, I put together a guide on building agent teams that actually work. full guide in the article below 👇show more

original & full link:

correct link?

the real unlock isn't just more agents, but figuring out when humans still need to intervene

totally bro

Microsoft using Claude inside Foundry is the signal most people are sleeping on. Not OpenAI. Not Gemini. Claude. When enterprise AI infrastructure teams choose your model for internal agent builds, that's a different kind of validation than a benchmark.

Exactly sers

We need AI to run the AI agents:(

video is really worth watching so much explanation and facts

Love that you like it!

This is one of the best articles shared!! Awesome content

Building 5 agents in 30 min is the easy part now. Keeping them running 24/7 without corrupting each other's state, recovering from failures, resolving conflicts - that's 90% of the actual engineering. The demo is the trailer. Operations is the movie.

It's fun when you don't have to pay for tokens. Token Efficiency is what everyone outside of Anthropic/OpenAI have to deal with. Goals/Run for ever ... nope.

nah 30 min demos always cut right before the prod incident

bro opened 5 claude windows and accidentally created middle management

Good job, now that will be $3000 in tokens for today please.

This is a good article definitely worth reading

thanks fam!

1人が5つのAIエージェントを同時に実行できる方法を示した人間工学者がいます。 30分以内に、実際に1セッションで全体を構築しました。 彼らが取り上げた内容は次の通りです。 > 1人のエージェントと完全なチームのいつ使用するか > エージェントが互いにかみ合わないように仕事を分割する方法 > それぞれのエージェントが担当するかどうかを決定するための正確なフレームワーク それが、実際に機能するエージェントチームを構築するガイドをまとめた理由です。 記事内の完全なガイドをご覧ください。

🙏🏼🙏🏼🙏🏼

面白い質問ですね、興味深いです！

If it was free I’d have 6 agents at 200 a pop a month.

tried this last month with four agents on a stripe integration. spent two hours debugging which agent had overwritten whose env file. the demo skips the part where you become the bottleneck

@hmCuesta When this app Is in production, who can make the maintenenance whithout lose the control ?

its getting so much easier and better

One dev running five agents live in 30 min. This is the lean breakthrough I look for. Exactly what Spanish founders need to scale smart.

Five agents with production access running simultaneously is exciting. It's also five times the attack surface. The security concerns scale with the capability. Even when using Claude Agents SDK. What are people using to protect their agents?

This is a real shift in how software gets built. It’s less about writing code and more about orchestrating execution across agents.Same in personal branding — output scales, but only if you know how to structure and split the work properly.Curious what breaks first at scale: coordination, cost, or quality control. Following you for more takes like this.

How many tokens tho?

Keep doom scrolling or take time to learn

thanks for shouting out!

🫡

one person running 5 agents in 30 mins is actually insane productivity unlocked fr

how do you handle the review layer when agents disagree on the same code

inviting to TG, where I post about AI tools, vibe coding experiments, and finance alpha: see ya there 🤝

You can use any coding tool to build an app and then deploy to production. This does not care about security and what happens to that after the app is running. This does not care of user's data and how to scale it once it reaches to specific users limit for scale.

Agent team are taking it up there from solo developers

Agent teams will redefine solo developer productivity forever

totally

The part people skip over in these demos: when NOT to parallelize is harder than when to. Premature agent splits create more coordination overhead than they save in clock time, especially when agents share state or write to the same files. The orchestration layer is where multi-agent setups either work or completely collapse. That's never in the 30-minute demo.

How did they define ownership and rollback paths when multiple agents touched the same deployment?

@zodchiii that's insane. can't believe one person can manage all that at once. makes me wonder what we'll need teams for in the future.

AIエージェント1人でも5つ稼働可能！効率化の秘訣は？記事の内容にコメントします。

I need to read this. But running and supervising 5 at the same time, can somebody tell me if they solve the major issue of headache from 5 person talking to you at the same time and need attention.