Claude Code agents: what they are, how they work, and how to scale them
Blog post from Portkey
Claude Code has become a leading AI coding agent, widely adopted for its advanced agent architecture and capabilities, enabling engineers to run complex tasks through a system of agentic loops and subagents. However, when deployed across large teams, challenges arise such as unpredictable costs, lack of observability, single-provider dependency, and insufficient access control. These issues highlight the absence of necessary governance and operational infrastructure required for enterprise-level deployment, leading to potential inefficiencies and security risks. Solutions like the AI gateway Portkey offer a way to bridge these gaps by providing observability, centralized access control, multi-provider routing, cost tracking, and budget controls, thus ensuring that Claude Code can be used effectively and safely at scale. As Claude Code transitions from individual developer tools to team-level infrastructure, adopting governance frameworks is essential to harness its full potential while maintaining control and efficiency.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 14 | 7,175 | 749 | 187 | +46% |
| Subagents | 9 | 87 | 40 | 29 | +6% |
| Observability | 7 | 4,803 | 1,028 | 214 | +15% |
| Loop engineering | 3 | 45 | 29 | 26 | +55% |
| AI Coding Assistant | 1 | 1,714 | 516 | 166 | +33% |
| Multi-agent systems | 1 | 804 | 204 | 88 | +48% |
| OpenTelemetry | 1 | 977 | 177 | 58 | +38% |
| Platform Engineering | 1 | 643 | 234 | 75 | -2% |
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