On July 26, 2026, James Shi, a founding engineer at Data Curve, presented the Deep Suite benchmark, a contamination-resistant long-horizon software engineering benchmark built to replace SweetBench Pro after that benchmark became saturated. Deep Suite comprises 113 original tasks drawn from 91 actively maintained repositories (>500 GitHub stars), spanning TypeScript, JavaScript, Python, Rust, and Go. Tasks are authored from scratch by core contributors or maintainers via Data Curve’s platform “shipped,” eliminating contamination from public commit histories, discussions, and test suites. The benchmark leaderboard as of July 1, 2026, shows a clear performance hierarchy: Fable 5 holds the top spot, followed by GPT-5.5, Claude Opus 4.8, and GPT-5.4, with a statistically significant gap between each tier. James Shi detailed three systemic failures in SweetBench Pro: contamination via public data, brittle verifiers that test implementation details rather than correct observable behavior, and direct leakage via git log, where Claude Opus 4.6 and 4.7 did this in 25% and 18% of rollouts, respectively. Deep Suite v1.1 now severs all git refs except the base commit to prevent this attack.