Context Driven Development in practice: how gathering context changes the outcome
The most expensive mistakes come from a misunderstood brief. Here is what the context gathering that prevents them looks like.
Most blown budgets do not happen during coding but before it — the moment work begins on a misunderstanding. The solution works technically; it just solves the wrong problem. Context Driven Development prevents this by putting context first.
What context is
Context is all the essential information about a company, its processes, its data and its real problems. It is not a document for show — it is the material you build from. Without it, even the best developer (or model) is guessing.
How gathering works
We start on site with the client. We do not ask "what do you want to program" but "how does this actually work for you today". We map processes, data flows and the places where things snag. Often it is here that the real problem turns out to be somewhere other than it first seemed.
- An in-person meeting and observation of real operations.
- Mapping processes, data and the links between them.
- Naming the real problem, not just its symptom.
From information to structure
We then turn the gathered information into structured context — a clear, machine-processable basis that we combine with our years of expertise. Only on this foundation do we let AI work out a solution and put it through human quality control. The result is not just faster and cheaper but, above all, more accurate — because from the start it knows what it is actually solving.
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