A template gives you structure to fill in. A scaffold generates boilerplate you replace. A code footprint gives you a production-shaped system — 524 endpoints, 300+ tables, 700+ stored procedures — already running and already enforcing constraints.
Read →AI-assisted development makes the first two weeks of any project feel like the fastest you've ever moved. The problem surfaces at month two, when the architectural debt accumulated in those sessions has to be paid before the next feature can ship.
Read →The build vs. license calculation focuses on the start: how long does it take to write auth, billing, notifications from scratch? That's the wrong timeframe. The three-month build pays once. The maintenance pays indefinitely. The cost curve diverges as time passes, not at launch.
Read →AI made software faster to build. The prototype genuinely ships in days. The paradox isn't that vibe coding is slow — it's that the speed closes a different gap than founders think.
Read →Greg Isenberg argues that many 'vibe-coded' products are actually serious, cash-flowing businesses. He's right — but those businesses have a structural foundation. That foundation has a name: a code footprint. Here is how the category differs from a starter template, a boilerplate, or a scaffold.
Read →AI makes it fast to generate a SaaS product. But as Gergely Orosz noted, any company with an actual business eventually owns the maintenance burden of what was generated. The same logic applies before the first line is written.
Read →Gergely Orosz observed that standout developers before AI are standout developers with AI. The reason is the fulcrum: the production context they operate on amplifies good engineering judgment. The model is the lever. The codebase is the fulcrum.
Read →AI makes teams faster at building. It does not make it easier to find product-market fit. The real question is what platform is ready when PMF arrives — because the window to capitalize on it is short.
Read →When a company raises a round or gets acquired, technical due diligence inspects things most teams don't prepare for. Here is what the review actually covers and why a coherent codebase architecture is an asset, not a formality.
Read →The cost of starting a B2B SaaS from scratch does not show up in the line items — it shows up in what your engineers are building in months one through six and whether any of it is your product.
Read →Starting from zero has a cost that rarely appears in sprint planning. Here is what the time actually looks like: building the primitive surface vs. licensing a codebase where it already exists.
Read →Every B2B SaaS team faces the build vs. license question. The math looks different when you account for what actually fills the first three months from scratch.
Read →