Reduce LLM token costs for codebase Q&A by lightweight RAG optimization

Reduce LLM token costs for codebase Q&A by lightweight RAG optimization targets a $4.5B = 15M developers × $300 ACV total addressable market with medium saturation and a year-over-year growth rate of 30-40% YoY in AI developer tooling adoption (sources: industry analyst coverage of AI dev tools and Stack Overflow trends, 2023-2025).

Key trends driving demand: Trend — Rapid LLM adoption in developer workflows creates direct operational costs for engineering teams and pushes demand for cost-optimization tools.; Trend — RAG patterns and vector stores are standardizing, which lowers the engineering barrier to delivering production retrieval pipelines.; Trend — IDE and code-assistant integrations (Claude Code, Copilot, Gemini) are mainstreaming; add-on tooling that reduces costs and latency can attach to these ecosystems.; Trend — Engineering teams increasingly quantify ROI for developer tools, making measurable token-savings a compelling procurement argument..