If you're an AI/agent builder, it's so important that you don't overbuild and overcommit on a specific toolset and infrastructure. Frontier …

If you're an AI/agent builder, it's so important that you don't overbuild and overcommit on a specific toolset and infrastructure. Frontier labs are shipping not just the models, but the harnesses and surrounding tooling such that your existing stack might be obsolete next week. * e.g. if you had a super complex RAG stack, you may need to rip it out in favor of agents + sandboxes * e.g. if you spent a lot of time building the sandbox and serving layer, you may not need to anymore if you can just bootstrap the product with Claude Managed Agents The tradeoff is completely dependent on how good out-of-the-box these proprietary agent wrappers get. Back when the OpenAI Agent SDK came out, most people did not switch from frameworks because they were simply more powerful. Nowadays tools like the Claude Agent SDK + managed agent services are getting way better. Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.

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• Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance …
• 'Claude Code isn't magic. The harness layer is just software, and software is something any dev can shape to fit how they want to work.' Che…
• If you want an example of what this looks like in practice, check out the '/research-docs' skill I created for Claude Code https://x.com/jer…
• So we now have a pretty good picture of the state of the frontier AI model makers. US closed source models continue to lead. Google, OpenAI,…
• The US frontier labs have all walked away from open weights. They continue to occasionally release excellent open models (Gemma 4, etc), but…

Source: Jerry Liu (X) | 2026-04-08