context window constraints

Article emphasizes context windows as hard constraints (200k-1M tokens) that necessitate information selection—the root problem context engineering solves.

Naval explicitly describes context window limitations (100k tokens, quadratic attention cost ~trillion ops) causing 'plot loss' in large codebases—direct manifestation of context engineering bottlenec

Article explicitly identifies context windows as 'one of the biggest limitations' in real-world LLM applications, making this a concrete manifestation of the constraint concept.

Article frames context engineering as response to LLM context window and attention limits. These constraints are the boundary condition that makes context engineering necessary.

Article explicitly mentions 'challenges with context limits' as a blocker for seamless design-to-code workflow. This is a concrete example of context window as the actual bottleneck.

'Mounting AI costs' and 'more engineers hitting usage limits' directly indicate context window exhaustion as practical constraint.

Mollick's 'how much context is needed' directly describes the challenge of fitting relevant context into model constraints

The 'Claude Design limit' could be context window allocation or token budgeting specific to Design mode, a core context engineering concern.

Listed as 'term you must know' under agent terminology, suggesting the author recognizes context window as a critical constraint in agent design.

Multi-agent systems implicitly work around single-agent context limits by distributing information, but article doesn't explicitly address this

Goes beyond token limits to API-level behavioral constraints on how context can be structured

The article doesn't acknowledge that orchestrators have finite context windows—the centralized pattern assumes unlimited state retention, which conflicts with LLM reality

Case studies claim success but never address how context fits in constrained windows across multiple agents. Silence on this issue suggests either solved (unlikely) or ignored (likely)