Anthropic Revamped Claude Projects: AI Now Manages a Team of Agents for Complex Tasks in Claude Code

Anthropic has released an updated version of the Projects feature in its Claude Code tool. As reported by dev.ua, within a single project, Claude can now launch multiple agents in parallel, assign them different parts of the work, track their execution, and finally compile the results together.

How It Works

Previously, Projects in Claude Code only allowed structuring context for code work — setting rules, adding instructions, and attaching files. Now it is a full-fledged agent orchestration system. Instead of executing tasks linearly, Claude can create several virtual «assistants», each responsible for a specific module or stage of work. The lead agent coordinates their activity, checks intermediate results, and assembles the final product.

Why This Matters for Small Business

For small business owners and managers, this means the ability to delegate complex tasks to AI that previously required the involvement of an entire team of developers or analysts. For example, simultaneously analyzing multiple data sources, writing code for different parts of an application, testing them, and combining the results — all of this can now be performed by a single tool under the guidance of an AI manager.

This approach significantly lowers the barrier to automation: there’s no need to hire separate specialists for each stage of work. Simply define the task, and Claude will automatically distribute the work among agents and ensure quality.

Where This Leads

The update to Claude Projects is another step toward transforming AI from a tool for simple queries into a full-fledged digital coworker capable of managing complex projects. For businesses, this means accelerated development, reduced coordination costs, and the ability to test hypotheses faster. At the same time, demands for the quality of initial instructions are growing: clearer task — better outcome.

Conclusion

Anthropic has turned Claude Projects into a platform for multi-agent work, where one AI manages a team of others. For small businesses, this opens the path to automating complex multi-step tasks without needing to engage a large team of specialists.

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