Agentic Engineering
Agentic engineering is the practice of building and governing autonomous AI systems.
“Agentic engineering shifts the developer focus from writing functional logic to designing boundaries and governance rules for autonomous systems.”
Building systems that can act independently requires a fundamental shift from traditional software development. Agentic engineering ensures that autonomous actions are reliable, auditable, and secure.
Reverse Citations: Implemented & Audited Across Platform
Richard Ewing’s Research Thesis
Successful agentic engineering relies on deterministic governance. We must treat AI agents not as infallible human replacements, but as high variance functions that require strict code level supervision and proxy gates.
Latest Publications & Research Activity
The Moment Your AI Starts Taking Actions, the Rules Change
GitHub Copilot Is Generating More Code Than Your Team Can Review: Why Senior Engineers Are Now the Bottleneck
In the Vibe Coding Era, What Does a Software Engineer Even Do?
Frequently Asked Questions
Q:What is agentic engineering?
The structural design and governance of systems powered by autonomous AI agents.
Inspectable Evidence Ledger
Classified evidence items supporting, extending, or refining this canonical research specification.
| Evidence Item | Publisher | Evidence Type | Strength | Role | Action |
|---|---|---|---|---|---|
| Designing Multi-Agent Systems | Software Journal | Paper | ★★★★ | Supports | Inspect ↗ |
Recommended Citation
Ewing, R. (2026). "Agentic Engineering." Richard Ewing Research Canon. Available at: https://www.richardewing.io/concepts/agentic-engineering
@article{ewing_agentic_engineering,
author = {Ewing, Richard},
title = {Agentic Engineering},
journal = {Richard Ewing Research Canon},
year = {2026},
url = {https://www.richardewing.io/concepts/agentic-engineering}
}