DO repeat yourself! (Interview)

Summary of DO repeat yourself! (Interview)

by Changelog Media

1h 19mNovember 12, 2025

Overview of DO repeat yourself! (Interview)

This episode of The Changelog features Sean Geddes (staff software engineer at GitHub, based in Melbourne) in a wide-ranging conversation about engineering craft, blogging, organizational influence, code review, software taste, mental fitness, and the growing role of AI/agents. Sean explains how and why senior engineers should engage in organizational politics, how to avoid “worry-driven development,” what constitutes “good taste” in engineering, how to influence product/technical direction at scale, and practical tips for writing widely read technical posts.

Episode metadata

  • Guest: Sean Gedeke (staff engineer at GitHub; prolific tech blogger)
  • Host: Jared (The Changelog)
  • Format: Interview, ~long-form discussion
  • Core themes: influence inside large orgs, blogging strategy, code review, taste & values, mental fitness, AI/agents impact

Key topics covered

  • Blogging and audience-building: habits, drafts, tone, how to reach Hacker News
  • Organizational politics: why senior engineers should engage and how to influence locally
  • Code review best practices and common mistakes
  • Taste in software engineering: mapping taste → values → fit to project
  • Emotional/mental fitness: avoiding worry-driven development and the productivity impact of emotional regulation
  • AI and agents: where code generation helps, what skills gain value (specs, review, taste), and tooling improvements (tool-calling, situational awareness)
  • Leverage and “getting the main thing right”: impact vs. hours worked

Main takeaways

  • Senior engineers must be involved in organizational politics. Contributing technical judgment to decisions is part of the job; opt-out is a dereliction of duty.
  • Confidence matters: be willing to represent the best technical answer even when uncertain — organizations need decisive guidance.
  • Influence is often local. At large companies you rarely steer the whole company; instead prepare multiple proposals and deploy them when timing is favorable (e.g., after an incident when leadership is prioritizing that domain).
  • Good blog posts come from having “something to say” (experience + point of view) and iterative practice; drafts are idea incubators.
  • Code review value is mostly high-level: focus on system-level gaps and a small number of meaningful comments (aim for ~6 or fewer), not dozens of low-level nitpicks.
  • “Taste” is best understood as a set of engineering values (reliability, readability, performance, etc.); good taste = values fit to the project and the ability to flex those values to the situation.
  • Emotional regulation and mental fitness strongly impact engineering effectiveness. Worry-driven development makes engineers avoid risk and under-contribute.
  • AI agents are changing what technical skills matter: execution-by-hand declines for some tasks, while taste, spec-writing, review, and tooling (tool-calling) increase in importance.
  • High leverage work often outweighs hours. Doing the “main thing” right is frequently more valuable than grinding longer in the wrong direction.

Notable quotes & insights

  • “Senior engineers specifically ought to be heavily involved in the politics of their organization.”
  • “A huge part of the job is being more confident than you feel internally.”
  • Good taste = “an expression of your values” and the ability to fit those values to the project.
  • “The most interesting and useful comments you can give in a code review are not about the diff — they’re about the code that wasn’t written.”
  • On AI agents: tooling that lets models call reliable tools is a huge multiplier; you don’t need the model to be good at everything if it can call better tools for specialized tasks.

Practical action items & recommendations

  • Influence in large orgs:
    • Build a “stable of ideas”: keep ~10–15 short proposals ready.
    • Wait for the right moment (leadership focus, incident aftermath) to champion the proposal.
  • Improve your code reviews:
    • Limit comments — target ~6 meaningful items.
    • Prioritize system-level suggestions: point out missing integrations, existing higher-level solutions, or architectural alternatives rather than line-level nitpicks.
  • Strengthen taste & decision-making:
    • Write down your engineering values for a project (e.g., latency, reliability, maintainability) and check trade-offs against them.
    • Practice adapting values to the product context (small app vs. large platform).
  • Blog for impact:
    • Write from experience — “have something to say.”
    • Use a tone that’s readable and slightly academic; craft titles that are punchy but not purely clickbait.
    • Aim to attract amplifiers (readers who will upvote/reshare) so the post reaches quality readers.
  • Work habits & leverage:
    • Focus efforts on the highest-leverage tasks (one genuinely useful contribution can beat many low-value hours).
    • Don’t mistake long hours for right direction — assess impact and adjust.
  • Mental fitness:
    • Learn to spot worry-driven avoidance (deploy fear, over-caution).
    • Build emotional regulation skills; these matter as much as technical skill in career growth.
  • AI & agents:
    • Start using agents where they are effective, but retain ownership of prompts/specs and review outputs carefully.
    • Consider investment in tooling that gives agents situational awareness and reliable tool-calling.

Sean’s recommended/mentioned posts (good follow-ups)

  • How to ship projects (post that hit Hacker News; about shipping ≠ just closing JIRA)
  • Avoiding Worry-Driven Development
  • What is Good Taste in Software Engineering
  • 95% of projects fail — context on base rates for large enterprise IT projects
  • Mistakes I See Engineers Making in Their Code Reviews
  • How I Influence Tech Company Politics as a Staff Software Engineer
  • (Also mentioned: “Impressing People You Don’t Respect” — advice on audience & tone)

Why this episode matters

  • Practical leadership: Sean gives concrete, repeatable tactics for influencing technical direction without needing executive authority.
  • Career signal: Emphasizes non-technical but career-defining skills — confidence, persuasion, emotional regulation, and system-level thinking.
  • Near-future relevance: The discussion about AI/agents and taste helps frame which engineering skills will retain or gain value as automation accelerates.
  • Actionable takeaways: clear, implementable steps for code reviewers, individual contributors aiming for influence, and technical writers seeking reach.

If you want a quick checklist to apply today:

  • Write down 5 project-level values and verify one active decision aligns with them.
  • Prep 3 short proposals for near-term problems (1 paragraph each).
  • Next code review: leave at most 6 comments and at least one system-level suggestion.
  • Draft one blog post from a recent irritation or corrective insight — publish it.