Claude Code and others struggle with context window limitations. Developers report models degrading sharply after ~100k tokens, contradicting vendors' claims of 1M+ token capabilities. This mismatch creates practical roadblocks for coding agents and complex workflows.

RULER studies and Chroma's context rot research reveal effective context remains a fraction of advertised numbers. While architectures improve, attention mechanisms fail to maintain quality across massive windows. Marketing numbers grow annually, but real-world performance lags.

Developers counter by treating context as a budget. Projects like obra/superpowers use artifact-based workflows to offload information, keeping sessions in the "smart zone." This approach outperforms auto-summarization by preserving critical context through intentional handoffs. Manual spec passing proves more reliable than compromised model outputs.

The industry faces a fundamental truth: 100k-token reality beats 1M-token promises. As agents grow sophisticated, architectural solutions must align with practical limits. Context management emerges as critical differentiator in developer tooling evolution.