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A high-end horizontal 16:9 graphic design poster cover with a deep black background. On the far left third, a dense rectangular block of tiny monospaced terminal characters — code fragments, brackets, semicolons, variable names — rendered in dim cool white, forming a rich textural field that visually represents a long codebase or extended context window. Moving rightward, this dense text field progressively compresses and narrows, the characters becoming smaller and more faint, converging toward a single razor-thin luminous electric cyan horizontal line that cuts across the exact center of the composition — a precise visual metaphor for self-summarization, the act of compressing long context into essential meaning. This cyan line is the conceptual spine of the entire poster. To the right of the compression point, the background remains clean and stark black. Dominating the right two-thirds of the composition, oversized ultra-bold condensed white sans-serif typography stacked in two lines reads "SELF" on top and "SUMMARY" below, set at a massive scale with tight leading, acting as the primary architectural visual element of the cover. Above this stack in smaller but still bold condensed white type: "CURSOR COMPOSER 2". Below the main type stack, in tiny monospaced light-gray text: "long horizon coding agents — token efficiency — context memory". A fine cyan horizontal rule separates the metadata from the main type block. The overall palette is strictly black, white, and electric cyan — a cold, intelligent, terminal-inspired modernist palette. Subtle halftone grain texture overlays the entire surface adding depth and a fine-print feel. The composition reads left to right as a narrative of compression: density to distillation to meaning. The design language is Swiss modernist grid thinking fused with technical editorial boldness — precise, concept-driven, visually striking, and custom-made for this exact article on AI coding agents and self-summarization.

Cursor Composer 2

Cursor Composer 2 combines stronger coding performance with lower token costs and a new self summarization training method that helps coding agents stay effective…
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