Claude Code and Agent Swarms: 100 Eyes Ending the Era of Single Intelligence
makedream٣٠ يناير ٢٠٢٦
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The era where AI development tools merely suggested code is over. We have entered the age of Agent Swarms, where intelligence is fragmented into teams that execute tasks in parallel without human intervention. While the AI of the past was a smart assistant, the AI of 2026 is like an autonomously operating software factory.
The simultaneous operation of 100 agents recently showcased by Kimi 2.5 is just the beginning. Similar powerful swarm infrastructure has been discovered within Anthropic's CLI tool, Claude Code. We analyze the reality of this technology that goes beyond simple autocomplete to station dozens of virtual developers right in your terminal.
While Kimi 2.5 surprised the world with 1,500 parallel tool calls, Anthropic had already embedded an even more sophisticated system within Claude Code. This feature, hidden behind specific feature flags, eliminates the effort of developers manually entering prompts and passing data.
The TeammateTool exposed in the v2.1.19 binary possesses authority far beyond simple code modification.
This is a rebellion against the traditional method of simply making a single model larger. The intention is to build a network of intelligence where multiple intelligences divide and conquer a massive codebase simultaneously.
Anthropic's strategy focuses on autonomous orchestration. The core is independence. Each sub-agent possesses an independent context window and restricted tool access permissions.
When a single model reads tens of thousands of lines of code in a large-scale project, context contamination occurs, leading to errors. Claude's swarm structure prevents this.
| Component | Role and Technical Features |
|---|---|
| System Prompt | Defines the agent's specific persona and task instructions. |
| YAML Frontmatter | Manages metadata such as name, model type, and tool permissions. |
| Context Fork | Copies only necessary data to sub-agents, reducing costs by 60%. |
| Tool Permission Control | Enhances security by granting differential permissions, like Bash or read-only, to each agent. |
While Kimi 2.5 increases speed through sheer quantity, Claude 4.5 has secured logical integrity, recording a resolution rate of over 70% on the SWE-bench Verified test.
When an agent swarm is activated, the user no longer writes code directly. Instead, they become a conductor. In workflows identified through tools like Claude Sneak Peek, roles are clearly divided.
This structure fundamentally blocks the "forgetting" phenomenon common in single models. Each agent focuses solely on the task in front of them, and the final output is integrated and provided as a report by the manager.
Why swarms, and why now? The reason is clear. It is much faster and cheaper to copy only the necessary information to several small models than to run a massive 1-million-token model in its entirety.
Of course, challenges remain, such as the explosive increase in API costs and data contention issues that occur when multiple agents modify files simultaneously. This is also why Anthropic has not yet officially brought this feature to the forefront.
However, this trend is irreversible. A developer's competence will now be determined not by their typing speed, but by their ability to design and command a team of agents.
Create an environment where AI can learn autonomously by meticulously writing project rule documents like CLAUDE.md. Documentation and system engineering thinking will be your most powerful weapons, more so than coding. The day when optimized swarm technology fully settles into your terminal is not far off.