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Lucas
Lucas

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I 10x’d My Output by Delegating These 7 Things to AI (And Why I’ll Never Delegate These 6) - 06 of 21

#ai #thewieldersedge #vibecoding #webdev

By spring 2026, the division of labor between human engineers and AI had become precise enough to describe. Not speculate about. Describe.

Delegate these 7 immediately:

  1. Boilerplate generation: CRUD scaffolding, config files, standard patterns. Near-human accuracy. Review required is a naming scan, not a logic audit.

  2. Test generation: 40-60% faster test development with no measurable decline in coverage quality, provided the tests are reviewed by someone who understands the domain.

  3. Documentation: 67% of companies rely on AI-assisted doc generation in 2026. The first draft is a solved problem. Your job is verifying and contextualizing.

  4. Code translation: Python to TypeScript. React to Vue. Framework migrations that once consumed sprint cycles now take hours.

  5. Routine bug fixing: Claude Code, Devin, BugBot can resolve 60% of reported bugs autonomously. Resolution time down 30-50%.

  6. Automated code review: First-pass filter before human review. Misses context issues. Doesn't replace human review. Eliminates noise so you focus on signal.

  7. Commit hygiene: Messages, PR summaries, changelog entries. Fully automatable. No meaningful error rate.

Never delegate these 6:

  1. Architecture and system design: AI proposes. You decide. The tradeoffs require organizational context, team capability assessment, and long-horizon thinking no model possesses.

  2. Business context translation: The spec says "export to CSV." You ask: which users, under what conditions, with what compliance implications? AI cannot know the specification is wrong. You can.

  3. Security architecture: AI generates vulnerabilities as readily as it detects them. Adversarial thinking is not statistical. It is human.

  4. Long-horizon product thinking: What to build and why. Not how.

  5. Multi-stakeholder navigation: The politics, the relationships, the conversation with the PM that keeps the sprint on track. No model has stakes in the outcome.

  6. Agent orchestration: Designing, managing, and correcting the AI systems themselves. This is the newest category on the list. It is also the most valuable.

That last one has a title now: AI Orchestrator. The engineer who doesn't write the code, they design the system of agents that writes it.

Tomorrow: the chapter that the book's beta readers called the most urgent. What happens when agents can commit, push, and deploy; and what governance is non-negotiable.

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