Writing
Notes on engineering, leadership, and the craft.
Posts · Page 3 of 8

Turning a Mobile Backlog Into a Client Decision Artifact
Jul 2026·Turn mobile backlog decisions into a client-ready routing board for proceed, sign off, defer, and product input without burying delivery judgment in notes.

Turn Stakeholder Questions Into Demo-Ready Decision Records
Jul 2026·Use demo decision records to turn stakeholder questions into owned, evidence-backed decisions before the next client demo.

Treat Access as the First Field-Engineering Deliverable
Jul 2026·Use an access readiness matrix to prove owners, environments, permissions, auditability, expiration risk, and revocation paths before field delivery dates.

Create Discovery Artifacts That Survive the Customer Call
Jul 2026·Discovery artifacts help field teams turn customer calls into owned decisions, evidence, expiry, and reconciliation before sprint work depends on them.

What a Genuinely Blocked AI Agent Should Report
Jul 2026·Use an AI agent blocker report to stop equivalent retries, preserve completed evidence, identify the failed dependency, and name the smallest unblock.

Monitor Long-Running AI Agent Work Without State Drift
Jul 2026·Design AI agent monitoring as a read-only delta heartbeat with stable evidence, idempotent checkpoints, anomaly thresholds, and terminal conditions.

Use Reversible Rollouts for AI Agents in Production
Jul 2026·Run an AI agent production rollout through observe, prepare, shadow, limited, and general stages with evidence, thresholds, and executable rollback.

Build a Provenance Ledger for AI Agent Research
Jul 2026·Use an AI agent provenance ledger to separate observed, inferred, contested, and unsupported claims before research drives engineering decisions.

Give AI Agents Permissions by Intent, Not Identity
Jul 2026·Scope AI agent permissions to inspect, plan, patch, deploy, or verify. Review authority transitions instead of granting broad access by assistant identity.

Turn Painful Agent Runs Into Evaluated Skills
Jul 2026·Build AI agent skills from hard-won runs by extracting invariants, bounding authority, and testing new cases instead of saving an unverified prompt.