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

A developer outlines a precise division of labor between human engineers and AI by spring 2026, identifying seven tasks to delegate immediately—including boilerplate generation, test generation, and documentation—and six tasks to never delegate, such as architecture, security, and long-horizon product thinking. The post emphasizes that AI can autonomously resolve 60% of reported bugs and reduce resolution time by 30-50%, but warns that adversarial thinking and multi-stakeholder navigation remain uniquely human. The emerging role of 'AI Orchestrator' is highlighted as the most valuable new category.

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.