Glossary

AI and software in plain language.

No jargon without an explanation. Here you will find what the words mean that you come across on this site and in conversations with us.

Practical knowledge, explained honestly.

A

AI coding agent: Software that carries out programming work on its own. You give it a task, the agent reads the code, makes a plan, makes the change and tests it. The result is a proposal that a person reviews.
AI literacy: The knowledge needed to use AI responsibly. Article 4 of the EU AI Act asks companies that use AI to support the AI literacy of their staff. A certificate is not mandatory.
API: An agreed way for two programs to talk to each other. With an API you can, for example, send orders from your online shop to your accounting software automatically.

CI/CD: Automated processes that run the tests on every change (continuous integration) and roll out the software (continuous delivery).
Code review: A colleague reads through changes before they are approved. With us, that happens for every proposal from an agent.
Codebase: All the source code of an application together.

Data processing agreement: A contract that sets out how a service provider processes personal data on your behalf, as the GDPR requires.
Dependency: A package or library written by someone else that your software relies on. Dependencies need to be updated regularly.
Documentation: Explanation that comes with software: how to install it, how to use it and how it works.

EU AI Act: European law on artificial intelligence (the AI Act), in force since 1 August 2024 and amended in July 2026. It introduces rules step by step, depending on how risky an application is.

GDPR: The European privacy law (General Data Protection Regulation). It governs how you handle personal data.
Git: The most widely used system for keeping track of versions of code. Every change is saved and can be reverted.
GitHub and GitLab: Online platforms where teams store their code and discuss and approve changes together.

Library: Ready-made code that developers reuse, so they don't have to write everything themselves.

Migration: Moving to a newer version of a programming language, framework or system.
Model (language model): The AI system behind an agent that understands and writes text and code.

Production: The live version of your software, used by customers.
Proposal: The output of an agent: a set of changes with an explanation and test results, ready for review.
Pull request: A proposal to change code, which a colleague can view, discuss and approve before it is merged.

Refactoring: Rewriting code so that it becomes simpler and easier to maintain, without changing its behaviour.
Review time: The time your team needs to check a proposal from an agent. We always include it when calculating time saved.

Sandbox: An isolated working environment, separate from your real systems. Agents work inside it, so they cannot damage anything.
SME wallet (KMO-portefeuille): Flemish support scheme through which SMEs recover part of their training costs (30% for small, 20% for medium-sized companies, up to €7,500 per year), via registered service providers. Since February 2026, advice only qualifies if it concerns cybersecurity.

Technical debt: The extra time you pay later for quick or outdated solutions from the past. The longer you wait, the more it costs.
Test (automated test): A small piece of code that checks whether another piece of code does what it should. Tests make it safe to push changes through.

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