AGENT LOOPS

A bounded loop that haunts your deploys, catching regressions before they reach users. Runs post-deploy smoke tests, compares against baseline, and flags every drift.

A bounded loop for agents that must verify facts before acting. Prevents hallucinated confidence from leaking into outputs.

A comprehensive end-to-end testing loop that inventories every user-facing surface, finds bugs holistically, and verifies fixes across the full product.

A bounded coding loop for shipping one feature slice only after the agent proves the current contracts, risks, and user path.

A focused loop for improving search and AI-answer visibility by fixing the highest-impact technical, content, and citation gaps first.

A risk-first testing loop for reaching verified 100% coverage without padding the suite with shallow line-execution tests.

A bounded loop that turns any loosely written issue — ticket, bug report, Linear task, GitHub issue, or customer complaint — into a review-ready pull request with reproduction steps, root-cause evidence, and verified fix.

A bounded performance loop for driving every target route under a reproducible 50 ms page-load threshold without hiding regressions.

A deliberate, checkpoint-driven loop for evaluating and refactoring testing infrastructure when the current setup shows signs of fragility, slowness, or coverage gaps. Each change is reviewable, verifiable, and reversible.

A rigorous, checkpoint-driven loop that runs after any significant deployment, skill release, or framework update to ensure documentation, runbooks, setup guides, and E2E test coverage remain perfectly aligned with the live implementation.