Surface structured filesystem errors as tracked build issues to prevent internal failures

Surface structured filesystem errors as tracked build issues to prevent internal failures targets a $10.0B = 20M professional developers x $500/year average tooling & observability spend relevant to build-time debugging total addressable market with medium saturation and a year-over-year growth rate of 10% (developer tools & observability market growth).

Key trends driving demand: Shift-left observability -- teams move error-detection earlier into dev cycles, increasing demand for build-time diagnostics.; Monorepo & incremental builds -- larger repos and advanced caching increase complex IO interactions and subtle failures that need structured tracking.; Platform consolidation -- platforms like Vercel/GitHub are extending build/monitoring features, raising expectations for integrated tooling.; ML-assisted triage -- ML makes clustering and prioritization of recurring errors viable, increasing ROI of structured error telemetry..