Knowledge base
The terms, defined plainly.
A working glossary of the software, AI and infrastructure terms that come up when you are deciding what to build. Written to explain the trade-off, not to sell you the acronym.
21 terms
A
- Agentic WorkflowAI & MLA multi-step process where one or more AI agents carry out a task autonomously, coordinating tools and decisions along the way.
- AI AgentAI & MLAn AI system that takes actions toward a goal — calling tools, querying systems and making decisions — rather than only producing text.
- APIEngineeringAn Application Programming Interface — the defined contract through which one piece of software talks to another.
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- MicroservicesEngineeringAn architecture that splits an application into small, independently deployable services instead of one large codebase.
- Minimum Viable Product (MVP)EngineeringThe smallest version of a product that delivers real value and lets you learn from actual use.
- MLOpsAI & MLThe practices and tooling for taking machine-learning models to production and keeping them working — the DevOps of ML.
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- Penetration TestingSecurityAn authorised, simulated attack on a system to find the vulnerabilities a real attacker could exploit — before they do.
- Prompt EngineeringAI & MLThe practice of designing the input to a language model to get reliable, correct output — closer to interface design than to trickery.
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