Reduce LLM token costs by indexing code for retrieval instead of re-reading files

Reduce LLM token costs by indexing code for retrieval instead of re-reading files targets a $36.0B = 20M professional developers x $1,800/year avg spend on dev-tools & AI-assistants total addressable market with medium saturation and a year-over-year growth rate of 18%.

Key trends driving demand: LLM adoption -- More orgs embed LLMs into dev workflows, raising demand for cost-saving retrieval layers.; Vector databases maturity -- Managed vector DBs reduce infra friction for large-scale semantic search.; Monorepo growth -- Larger consolidated codebases increase the cost of naive context passing and raise demand for targeted retrieval.; Open-source-first adoption -- Enterprises prefer auditable, self-hostable stacks for code security and compliance..