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AI and agentic systems

Prompt and context engineering

Prompt engineering is the craft of giving AI a precise instruction: the task, constraints, examples. Context engineering goes a step further: giving the model the whole working environment, meaning documentation, rules, product context and tests.

In 2026 the focus is shifting from clever prompts to well-prepared context, because that is what decides the quality of the output.

What it means for your business

When AI gives poor results, what's usually missing isn't a better prompt but better context. That is exactly what skills and MCP solve.

Related terms

AI skills

Instruction packages that teach AI to work by your company's rules.

MCP (Model Context Protocol)

The open standard that connects AI models to your tools and data.

Large language model (LLM)

An AI model trained on huge amounts of text that understands and writes language.

Vibe coding

Building an app by describing it in plain language while AI writes the code.

Build your new app today!

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