Cheaply provide AI agents full codebase context via cached semantic summaries

Cheaply provide AI agents full codebase context via cached semantic summaries targets a $9.6B = 1.2M engineering teams × $8K ACV total addressable market with medium saturation and a year-over-year growth rate of 20% YoY growth in developer tools and AI developer tooling adoption (industry reports and VC research on developer tooling and AI platform spend)..

Key trends driving demand: LLM-driven developer workflows are increasing, which creates demand for efficient context layers that reduce token usage.; Enterprises are prioritizing engineering effectiveness and observability, making tooling that reduces wasteful developer friction attractive.; Vector embeddings and retrieval-augmented approaches have matured, enabling high-quality summarization and compact retrieval.; Rising AI API costs are forcing teams to measure token spend and seek solutions that demonstrably save money..