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The ideas and mechanics behind d-bye, explained for engineers.
AI app builders are fast, but the code often breaks and you can’t take it with you. d-bye’s AI writes a structured spec, not raw code, then passes type checks and a compile check on every generation — and you export your full source code (screens, APIs, and database) you own.
Read →Teams outgrow spreadsheets and get locked into SaaS. Building internal tools by hand is mostly repetitive CRUD. Here is how to build them in-house fast while keeping the code as your own asset.
Read →Can’t hire, or running IT with one person? Here’s how to compress the design, build, and test stages so a small team can still build a real business system in-house.
Read →Spec-driven development means the design spec leads and the code is generated from it. Here is what that means, why the spec should be the source of truth, and how it keeps a full stack consistent.
Read →A living design spec is a structured, machine-readable description of your app. Here is why d-bye treats it as the single source of truth instead of the generated code.
Read →Many no-code tools trap your app inside their runtime. d-bye exports your full source code — screens, APIs, and database — you can read, modify, and deploy anywhere. Here is why that distinction matters for engineers.
Read →Describe your app in plain words, refine it as a structured spec, and export a working app as your full source code — screens, APIs, and database. Here is the pipeline from intent to deployable code.
Read →Purchase, travel, and contract approvals stuck in email threads and a spreadsheet tracker are hard to see and easy to break when the rules change. See how a data-driven, multi-step approval route replaces it.
Read →A spreadsheet inventory count that never quite matches reality, and purchase orders tracked separately from stock, make it hard to know what you actually have. See how a real stock-movement ledger and dashboard fix that.
Read →When sales orders live in phone calls, faxes, and a spreadsheet, nobody can see what stage an order is really at. See how a header-plus-line order model with a real status workflow fixes that.
Read →When customer inquiries and their responses live in individual inboxes, response history disappears the moment that person is out — or leaves. See how a shared inquiry-and-response log fixes that.
Read →When a services or agency business tracks hours and expenses in Excel, actual project margin is only visible after someone spends a day reconciling spreadsheets. See how a proper time-and-expense ledger fixes that.
Read →Paper time cards and an Excel monthly summary mean attendance data is not usable until someone retypes it at month end, and leave requests get tracked separately. See how a real clock-in system fixes that.
Read →When a client’s business app only runs inside a no-code platform, handoff breaks down the moment they want to switch vendors or bring maintenance in-house. See how generating from a design spec, then exporting a full source tree, avoids that.
Read →Designing a client’s business app from a blank page means re-deciding the same screens, data model, and workflow shape every project. Starting from a template that already covers the common case turns that into adjustment instead of invention.
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