Imagine someone finishes a report and saves the final PDF.
The next person can reuse that PDF if they need exactly the same report.
That’s essentially what output caching does.
But if the report changes even slightly, you usually have to regenerate it because the system only remembers the final result — not why that result was correct.
Ionify remembers more than the final output.
It remembers the relationships that made the output valid.
That means the system can confidently reuse work at a much deeper level instead of simply reusing a finished file.
So traditional caches remember products.
Ionify remembers knowledge.
Authority is part of the execution model.
In traditional tools, the build still assumes it needs to compute everything unless it happens to find a matching cache entry.
Ionify starts from a different assumption:
“If this work has already been proven valid, why compute it again?”
Ionify focuses on reducing the amount of work inside the execution
Instead of treating the frontend build as one large task, we ask:
Which computations inside that task are already proven?
Which files actually require new work?
Which transforms can safely be reused?
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