Make terminal and CI logs instantly searchable by AI assistants

Make terminal and CI logs instantly searchable by AI assistants targets a $3.6B = 3M developer teams × $1.2K ACV (annual developer tooling/observability spend relevant to dev-stage logs) total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR — Observability and developer tooling markets expanding with AI integration demand (source: industry reports and market research aggregates).

Key trends driving demand: AI-assisted development — LLMs are increasingly used for debugging and code generation, creating demand for structured developer context such as logs so assistants can provide accurate answers.; Shift to ephemeral, developer-centric observability — teams want cheaper, short-lived log capture for local and CI workflows distinct from production monitoring.; Growing focus on privacy and secrets protection — products that auto-redact or support on-prem deployment win trust from security-conscious teams.; Proliferation of vector search — affordable vector DBs make semantic search across logs feasible and fast, enabling meaningful AI-driven troubleshooting..