Stop arguing about semantics and start shipping. A developer from the DEV.to community has released a concise glossary of 30 agentic AI terms, addressing the persistent confusion between 'agent loops' and 'agentic workflows' that plagues engineering teams. The post, published on September 8, 2026, by user voltradoc, cuts through the marketing noise with plain-English definitions designed for builders who need to align on architecture, not just buzzwords.

The Core Problem: Semantic Drift in AI Teams

The author notes that their team repeatedly asked the same question in different words: what is the actual difference between an agent loop and an agentic workflow? This ambiguity isn't just annoying; it creates friction in system design and debugging. When engineers don't share a common vocabulary, technical specs become ambiguous, and code reviews turn into philosophical debates. The source material highlights that this glossary was created to be the resource the author wished they had a year ago, emphasizing clarity over complexity.

Structure: Mechanics, Inputs, and Decisions

The list is organized into practical categories, starting with 'Core Mechanics,' 'Inputs,' 'Decisions,' and 'Scaling.' This structure reflects a builder's mindset, focusing on the operational aspects of agentic systems rather than abstract AI theory. By categorizing terms this way, the author helps developers understand not just what a term means, but where it fits in the system architecture. For instance, distinguishing between the 'Inputs' that trigger an agent and the 'Decisions' it makes post-processing is critical for debugging autonomous pipelines.

Key Takeaways

  • Standardization is Critical: The post argues that teams must define terms like 'agent loop' vs 'agentic workflow' early to prevent architectural misalignment.
  • Plain English Over Jargon: The glossary prioritizes accessible language, stripping away the 'fluff' often associated with AI marketing materials.
  • Categorized for Utility: Terms are grouped by function (Mechanics, Inputs, Decisions, Scaling), helping developers map concepts to code.
  • Community-Driven Resource: The post serves as a shared reference point, reducing repetitive questions in stand-ups and design docs.

The Bottom Line

If your team is still debating what an 'agent' is, you're already behind. Grab this glossary, pin it to your wiki, and force everyone to use the same language before you write another line of autonomous code.