Entire Challenges One-Shot Pull Request Reviews.

AI coding’s bottleneck is shifting from producing code to validating an expanding stream of changes. Entire’s bet is compelling, but its success depends on whether repeated agent evaluations provide signal rather than another layer of automated noise.

• –Trails rechecks fixes continuously instead of treating the first review as final.
• –Prompt, session, and reasoning context give reviewers provenance that ordinary diffs lack.
• –Evaluation quality, false positives, and test coverage will determine whether teams trust the workflow.
• –Entire is proposing a new agent-native development system, not merely another GitHub review bot.