“Good dog,” she whispered. “Good, faithful dog.”
Deepa opened her old laptop. The fan whirred. She typed: visual foxpro
CREATE TABLE garments (garment_id C(6), type C(20), size C(5), color C(15), stock I) She built forms with the Screen Builder. She wrote little programs— .prg files—that looped through stock lists and flagged reorders. When her uncle asked for a “report of blue cotton shirts, size L, sold last month,” she wrote: “Good dog,” she whispered
SELECT * FROM sales ; WHERE garment_type = "shirt" ; AND color = "blue" ; AND size = "L" ; AND sold_date BETWEEN {^1998-01-01} AND {^1998-01-31} It took six lines. It ran in less than a second. She typed: CREATE TABLE garments (garment_id C(6), type
The clerks were skeptical. “This Fox thing,” one said, “it won’t eat our data?” But when they saw that they could type a code, press Ctrl+E, and watch a report appear like magic—no compiling, no waiting—they started to smile. Deepa taught them to use BROWSE to scroll through records like an Excel sheet on steroids. She showed them how to PACK the database to remove deleted records, how to INDEX ON type TO type_tag so searches were instant.
Deepa was 22, freshly hired at a small software firm, and had never built a real database. But she’d learned Visual FoxPro in a weekend course—those strange, beautiful commands like USE customers and REPLACE all price WITH price*1.05 . FoxPro was a dinosaur even then, a relic of the xBase era, but it was fast. Blazingly fast. And it came with something no other database had: a built-in language that felt like speaking to a very literal, very hardworking robot.
“Point two seconds,” she said. “And it has never crashed. Not once in seventeen years.” The warehouse finally migrated to the cloud in 2019—not because FoxPro failed, but because the bank required “modern compliance.” Deepa exported everything to a JSON file. 87,000 transactions, perfectly clean, every foreign key intact. FoxPro’s data integrity had never once let a bad record slip.