CI e2e slow tests - shift to 32 core runners to cut wall time

Executive Summary

Many engineering teams suffer from slow end-to-end CI tests where wall time, not compute cost, is the primary bottleneck, with typical runs of 30 to 90 minutes that block developer feedback and create pipeline congestion. This pain is most acute in mid-to-large organizations that run comprehensive suites on every PR, since re-run rates and wasted warmup time amplify both delay and spend. You could build a developer tooling platform that shifts heavy e2e suites onto 32 core runners and rethinks shard sizing, CI caching, and artifact reuse using per-test telemetry to optimize for wall time and price per core. Core features would include an automated shard decision engine, cost modeling that compares 32-core versus many small runners, integrations with major CI providers, and migration tooling that keeps a safety-net to selectively re-run failing tests at finer granularity. The market is attractive now because server density improvements mean larger machines often deliver 20 to 40 percent better price per core and substantially lower wall times for single jobs, while teams increasingly have the telemetry to make automated shard decisions. The addressable market is roughly 2 million engineering organizations, which at a $2,400 ACV produces an estimated $4.8 billion market opportunity, consistent with a market score of 92 and revenue potential of 88. To stand out you must pair rigorous telemetric shard decisions with integrated caching, phased migration tooling, and clear A/B experiments that quantify wall time and cost tradeoffs for each repo. Challenges are real - adoption requires instrumentation, changes to shard ownership, and competing solutions in a medium-competitive landscape - but measurable ROI in reduced wall time, fewer re-runs, and clearer cost models makes this a defensible, timely product direction.