A New Guide to 'Agentic Engineering'

The shift to agentic engineering redefines the manager's role from overseeing human coders to orchestrating a hybrid workforce of engineers and AI agents. This evolution demands a move from intuition-based "vibe coding" to a more structured approach where human oversight and validation are paramount. The core skill for leaders becomes systems thinking—designing the architecture and workflows for AI agents to operate within. For executive communication, this means translating the principles of agentic systems into clear, structured updates. The concept of "explicit contracts" in agentic engineering can be directly applied to leadership presentations by defining the project's scope, deliverables, and success metrics in unambiguous terms, ensuring alignment between technical execution and business expectations. To structure these updates, frameworks from prompt engineering can be adapted. The RTF (Role, Task, Format) framework, for example, allows you to define the Role of the project (e.g., "Cybersecurity consultant"), the Task it's performing ("Reduce login friction"), and the Format of the update ("A one-page summary with key metrics"). This provides a repeatable structure for executive summaries. For more strategic conversations, the CRIT (Context, Role, Interview, Task) framework can be used to frame discussions with leadership. This approach involves setting the Context of the business problem, defining the Role of the AI initiative, conducting an "interview" by asking leadership targeted questions to refine scope, and then outlining the specific Task the team will undertake. This turns a one-way report into a collaborative working session. When reporting on progress, focus on business-oriented KPIs rather than technical metrics. Instead of discussing model accuracy, report on time saved, cost reduction, or improvements in operational efficiency. For example, a 45% reduction in manual review time is a more impactful metric for leadership than detailing the agent's processing speed. Async workflows, central to agentic systems, can be presented to leadership as a strategic advantage for increasing productivity and reducing burnout. Frame these workflows as a "24/7 productivity engine" that leverages documented processes and automated handoffs to maintain continuous progress across global teams. Evidence from companies like GitLab, with their publicly available "All-Remote Handbook," can be used to demonstrate the success of documentation-over-conversation approaches. To provide ongoing visibility, propose the creation of an "AI Control Tower," a centralized dashboard that monitors the performance, usage, and safety of AI systems across the organization. This provides leadership with real-time, high-level indicators of business value and ensures that all AI initiatives are aligned with broader company strategy and compliance requirements.