Formulas are code
A spreadsheet formula has every property of code — it is written once, executed many times, depends on references the way code depends on imports, and fails silently when those references drift. What code has and formulas usually lack is a toolchain: a builder, a debugger, a decompiler for the dense inherited parts, and a way to promote repetition into automation. This workflow is that toolchain. The discipline it imports from software engineering is small and sufficient — settle the logic before assembling, verify against real data immediately, never inherit logic without reading it, and automate only what repetition has proven fixed.
The evaluator is the debugger
The gap between a formula that looks right and a formula that is right is exactly one wrong reference, and the evaluator exists to close it. Running the formula against real cell values — dirt included — and reading the explained result with its references and dependencies turns a plausible-looking formula into a verified one. The habit that pays is timing: evaluate the moment the formula is built, when the intent is fresh and a wrong range is a two-second fix, rather than after the sheet errors, when the same wrong range hides under three weeks of other changes and someone else's edits.
Dynamic arrays are functional programming in a grid
Excel 365's LET, LAMBDA, MAP, SCAN, REDUCE, and MAKEARRAY brought variables, function definitions, and higher-order operations into the grid — powerful, and correspondingly opaque to anyone who did not write them. The reverse translator treats that opacity as a solvable problem: it expands the formula and restates it as plain-language steps a reviewer can follow. Two rules govern its use — expand to understand, and annotate to preserve, because the intact form with named stages recalculates efficiently while the expanded form is for humans reading; converting between them should never cost either audience its version.
Macros freeze what repetition has proven
A macro is a commitment — the declaration that a procedure's steps are fixed, its order is right, and no judgment belongs between them. That commitment is earned by repetition, not by optimism: the import performed identically every week deserves freezing; the cleanup that varies with the data deserves a person. The generator writes the VBA for the written-out procedure, and the acceptance test is strict — the macro runs on a copy, performs exactly the listed steps, and nothing destructive rides along. Automation that exceeds its mandate is not automation; it is an accident with a keyboard shortcut.
Where this workflow stops
This page engineers the logic — build, evaluate, translate, automate. Installing that logic into a workbook — filling formulas down columns, locking the formula cells, gating the inputs around them — belongs to the workbook assembly workflow. Assembling data into reports and dashboards is the report-pack workflow, moving external data in is the ingestion workflow, filling designed templates is the templated generation workflow, and repairing a damaged sheet's structure is the cleaning workflow. Engineer the formula here, then hand it to the page that owns where it lives.