AI writes the code. Who owns the rest?

Описание и применение

Автоматизированные агенты могут писать код, но разработчики остаются ответственными за проверку, тестирование и выпуск. IssueFlow вводит чёткие этапы и решения, позволяя держать контроль над результатом.

Задача

When AI coding agents generate code, developers lack clear ownership, verification, and decision‑making processes, leading to uncertainty about correctness, testing, and release readiness.

Результат

IssueFlow clarifies ownership and decision points, reducing the developer’s burden of continuous monitoring and enabling focused oversight of AI‑generated code.

Рабочий процесс

• 1. Define clear task scope and desired outcome. 2. Prompt AI agent with specific, actionable instructions. 3. Agent generates code and presents options with context. 4. Human reviewer evaluates code against requirements and tests. 5. If issues arise, human decides whether to retry, adjust prompts, or halt. 6. Approved code moves to integration and release stages. 7. Escalation ladder allows higher‑level decisions when needed.

Доказательства

I spent a ridiculous amount of time glued to the IDE, chasing agents, checking their work, and figuring out what they meant to do next.

Источник

The agent announced something like: “Task completed successfully. Production ready!”

Источник

In IssueFlow, I define the prompts, the guides, and the boundaries for when an agent should wake me up—and when it should let me enjoy the new game on my phone.

Источник