Capture the "why" behind code to shrink AI context use by 90%

Capture the "why" behind code to shrink AI context use by 90% targets a $6.0B = 2,000,000 developer teams × $3,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 18% YoY — estimated growth for developer tooling and AI-assisted developer productivity platforms (industry reports, 2023-2025 estimates).

Key trends driving demand: LLM adoption — engineering teams increasingly embed LLMs into workflows, creating demand for tools that optimize token usage and accuracy.; Remote and asynchronous engineering — distributed teams raise the value of explicit, persistent rationale to reduce context-switching and ramp new engineers faster.; Cost pressure on AI APIs — rising token costs make tools that compress and cache intent valuable to engineering leaders looking to control cloud spend..