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Claude Managed Agents

claude.com

41–50 of 109 posts

Re: Claude Managed Agents

#41

I wonder how long until Claude/OpenAI eat a lot of the current AI/Agent SaaS's lunch. Originally I thought they would stick towards being a model provider mainly, but with all the recent releases it seems they do want to provide more "services." Wonder what part of the market 3rd party apps will build a moat around?

Probably never. There are a couple reasons: 1. We pay for saas, so we don't have to manage it. If you vibe-code or use these AI things, then you are managing it yourself. 2. Most Saas is like $20-$100/month/person for most Saas. For a software engineer, that maybe 3. Most Saas require some sort of human in the loop to check for quality (at least sampling). No users would want to do that. Number 2 is the biggest reaso…

Your vision on the market for this is skewed by the fact that you're probably overpaid.

Re: Claude Managed Agents

#42
post #28
post #23

Earlier quoted context omitted.

FWIW everyone is also building a version of this themselves. Only so many directions to go

Most definitely. Although I haven’t found an (F)OSS project that lets one easily ship [favorite harness SDK] to self-hosted platform yet. Which projects are standing out in this space right now?

Shameless self promo but, I've been working on Optio specifically for coding, it works by taking any harness you want and tasking it to open Github/lab PRs based on notion/jira/linear tickets, see: https://news.ycombinator.com/item?id=47520220

It works on top of k8s, so you can deploy and run in your own compute cluster. Right now it's focused only on coding tasks but I'm currently working on abstractions so you can similarly orchestrate large runs of any agentic workflow.

Re: Claude Managed Agents

#43
It’s all good until your production agents deployment has a single 9 uptime. I use Claude Code as my main coding harness daily but making customers reliant on Anthropic software is a big no-no. Quality engineering is just not their thing.

Re: Claude Managed Agents

#44
post #27

We're in the early days of agentic frameworks, like the pre-PHP web. CGI scripts and webmasters. Eventually the state-of-the-art will slow down and we'll eventually have something elegant like Rails come out. Until then, every agent framework is completely reinvented every week due to new patterns and new models. evals, ReACT, DSPy, RLM, memory patterns, claws, dynamic context, sandbox strategies. It seems like locki…

Completely agree re: AI chatbot/RAG being just like the pre-PHP web world. There's a hundred half baked solutions floating on blogs and github but not a coherent dominant framework that puts it all together properly. Langchain is close but still feels a bit abstract and DIY.

That plus everyone is using 5 different vector DBs and reranking models from different vendors than the answer models etc.

Re: Claude Managed Agents

#45
I'm suspicious that this is going to lead to optimal orchestration ... or rather, that open source won't produce a far better alternative in time.

The best performance I've gotten is by mixing agents from different companies. Unless there is a "winner take all" agent (I seriously doubt it, based on the dynamics and cost of collecting high quality RL data), I think the best orchestration systems are going to involve mixing agents.

Here, it's not about the planner, it's about the workers. Some agents are just better at certain things than others.

For instance, Opus 4.6 on max does not hold a candle to GPT 5.4 xhigh in terms of bug finding. It's just not even a comparison, iykyk.

Almost analogous to how diversity of thought can improve the robustness of the outcomes in real world teams. The same thing seems to be true in mixture-of-agent-distributions space.

Re: Claude Managed Agents

#47
This is actually really nice from anthropic. They are aggressively owning the entire development stack for every swe. They become the default development platform. Automatic recurring revenue too and I am sure they will come up with more categories of subscriptions too.

Re: Claude Managed Agents

#48
post #45

I'm suspicious that this is going to lead to optimal orchestration ... or rather, that open source won't produce a far better alternative in time. The best performance I've gotten is by mixing agents from different companies. Unless there is a "winner take all" agent (I seriously doubt it, based on the dynamics and cost of collecting high quality RL data), I think the best orchestration systems are going to involve m…

Yeah this has been my experience too, mixing agents/models from different companies..

Having Opus write a spec, then send to Gemini to revise, back to Opus to fix, then to me to read and approve..

Send to a local model like Qwen3.5 to build, then off to Opus to review ...

This was such an amazing flow, until Anthropic decided to change their minds.

Re: Claude Managed Agents

#49
post #45

I'm suspicious that this is going to lead to optimal orchestration ... or rather, that open source won't produce a far better alternative in time. The best performance I've gotten is by mixing agents from different companies. Unless there is a "winner take all" agent (I seriously doubt it, based on the dynamics and cost of collecting high quality RL data), I think the best orchestration systems are going to involve m…

Another way to think about it:

For Anthropic to have the best version of this software, they'd have to simultaneously ... well, have the best version of the software, but also beat every other AI company at all subtasks (like: technical writing, diagramming, bug finding -- they'd need to have the unequivocal "best model" in all categories).

Surely their version is not going to allow you to e.g. invoke Codex or what have you as part of their stack.

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