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

> Source: <https://dev.to/sam_lukaa/i-10xd-my-output-by-delegating-these-7-things-to-ai-and-why-ill-never-delegate-these-6-gpo>
> Published: 2026-06-16 19:00:00+00:00

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:

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

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.

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.

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

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

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

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

Never delegate these 6:

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

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.

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

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

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.

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.*