Tetriz pitches a self-improving enterprise operating system for AI-native engineering teams, with the promise to ship faster, cut AI waste, and scale quality.
The product measures AI-aware throughput - cycle time, throughput, review turnaround, and change failure - and surfaces harness-improvement recommendations ranked by criticality, plus agent rules derived from the team's own session patterns, per the site.
An approved library lets organizations publish skills, sub-agents, plugins, and rules files to team machines. The underlying Tetriz Engineering Intelligence project is open source under MIT as evidence-based Go libraries for AI contribution attribution, PR complexity, defect lineage, ROI, and development lifecycle maturity.
