Breaking the Context Bottleneck: Designing Scalable AI Coding Agents for 2026

As AI coding agents transition from experimental tools to production infrastructure, context window management has become the critical bottleneck—not model intelligence itself. This technical guide addresses 2026's defining challenge in agentic engineering: architecting efficient coding agents that can handle complex multi-service codebases within strict token constraints while maintaining performance at scale.