From Tokenmaxxing to Trusted Throughput — Mingsheng Hong, Ironclad
Aug 29, 2026 · 23:04
Mingsheng Hong, VP of Engineering focused on AI at Ironclad, argues token dashboards are smoke detectors, not leaderboards, and the goal is trusted throughput—merged, customer-validated PRs weighted by complexity—not token minimization. Don't cut cost before measuring value; Ironclad's metric evolved from lines of code to open PRs to merged PRs to merges weighted by an LLM-assigned complexity score, because a ten-line concurrency fix beats boilerplate. He identifies review and CI as new bottlenecks, where slow pipelines encourage giant batched PRs; he recommends AI as first-pass reviewer, killing flaky tests, capping agent retry loops, and measuring ready-to-merged time. He advises prompt caching, context pruning, and buying infrastructure while building context-specific playbooks in-house.
