Slow CI debugging: step-through runs in real containers

Slow CI debugging: step-through runs in real containers targets a $1.2B = 1,000,000 engineering teams × $1.2K ACV (team-level subscription to developer CI debugging tooling) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY — CI/CD and dev tools market growth driven by increased DevOps adoption and GitHub Actions usage (industry reports and GitHub growth signals).

Key trends driving demand: Shift to GitHub-native workflows — as more teams standardize on GitHub Actions, tools that integrate directly into GitHub gain adoption and distribution advantages.; Developer experience focus — companies are prioritizing tools that reduce developer cycle time, creating demand for interactive debugging tools that cut hours per incident.; Ephemeral containers and reproducible dev environments — standardized container runtimes and devcontainer tooling make accurate reproduction of CI steps feasible and reliable.; AI-assisted diagnostics — pattern recognition and AI can accelerate root-cause identification from logs and state, making automated suggestions a valuable differentiator..