Spend less time on the mechanical work and more on the decisions that matter.
Get the Staff Engineer briefIn 2026, AI handles much of the first-draft work a Staff Engineer used to do by hand: reading large codebases, summarizing design docs, drafting RFCs, and triaging incidents. It speeds up code review by flagging risky changes and suggesting tests, and it pulls together context across services so you can reason about system behavior faster. The role shifts toward judgment, trade-off analysis, and steering teams, with AI doing the gathering and drafting.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
You are a skeptical senior reviewer. Here is a design doc for [system/feature]: [paste]. List the three weakest assumptions, the failure modes under [scale/load condition], and questions I should ask the author before approving.Explain how [feature/request flow] works in this codebase. Trace it from [entry point] to [data store], list the key files and functions involved, and note any surprising indirection or coupling.Compare [option A] versus [option B] for [problem] given constraints: [latency, cost, team size, deadline]. Give a table of trade-offs and a recommendation with the conditions under which it would change.Here are logs, timeline, and chat from an incident: [paste]. Write a blameless postmortem draft with timeline, root cause, contributing factors, and concrete action items with suggested owners.Draft an RFC for [proposal]. Include problem statement, goals and non-goals, proposed approach, alternatives considered, migration plan, and risks. Keep it under [length] and flag where I need real numbers.One AI tool, one prompt, and one trick for Staff Engineers, every weekday morning. Free.