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Your low-code MVP got you to market — now it's slowing you down. This episode breaks down how to replatform off Bubble or Retool strategically, without freezing your roadmap or blowing your budget on a risky big-bang rewrite.

Show Notes

Low-code platforms are a smart way to launch fast, but growth has a way of turning yesterday's shortcut into today's bottleneck. This episode of DEV.co examines the practical path from a low-code MVP to a custom stack — covering when it's the right move, how to sequence it, what it actually costs, and which mistakes quietly derail teams in the first ninety days. The discussion draws directly from the DEV.co guide on replatforming a low-code MVP to a custom architecture.

Here's what the episode covers:

  • Diagnosing the real constraint first — performance ceilings, per-seat cost explosions, compliance requirements, and roadmap lock-in are four distinct pains that each point to a different first move.
  • Three honest strategies — stay and harden (often under $25K and buys 6–12 months), strangle piece by piece using the strangler-fig pattern, or execute a full rewrite in one pass (rarely the right call).
  • How a strangler-fig migration actually unfolds — mirroring the database in Postgres, standing up a thin API layer, then routing one bounded capability at a time out of the low-code platform using feature flags, with each slice shipping in two to six weeks. Teams building toward a fully custom software modernization and re-platforming milestone will recognize this as a proven playbook.
  • When a full rewrite is justified — small data models, tiny surface areas, or hard compliance cutover dates; the episode is blunt about the 83% failure/overrun rate for enterprise data migrations done the wrong way.
  • Real cost ranges — a strangler-fig exit from Bubble to a React/Django stack typically runs $45K–$70K per month with a dedicated pod, over 12–20 weeks for a product with three to five bounded capabilities, with total project costs ranging from $50K to $250K depending on complexity. Teams evaluating dedicated development teams for this kind of engagement will find those numbers a useful benchmark.
  • The risks that bite early — schema divergence, auth drift, workflow double-firing, and scope creep that quietly turns a phased migration into the full rewrite you were trying to avoid.

For more on the real-world cost side of technical migrations, check out the related episode RAG System Cost in Year One: Real Numbers Behind the Proposal for an equally grounded look at what another category of technical investment actually costs when the proposal meets reality.

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What is DEV?

Software and web development from the side that has to ship it and then live with it. Architecture decisions with a cost attached, scoping, technical debt, hiring and vendor selection, and the AI tooling question every engineering team is now answering whether they planned to or not.

Each episode takes one decision — rewrite or refactor, framework choice, build versus buy, how to scope a fixed-bid project honestly — and works through the tradeoffs, including the ones that only show up in year two. Written for engineering leads, technical founders and the people who fund them. Five or six minutes, no hand-waving.

Topics include rewrite versus refactor, build versus buy, scoping fixed-bid work honestly, technical debt you should keep, framework and platform choices, hiring and vendor selection, code review culture, and where AI tooling actually helps.

Produced by DEV.co, web and software development. Full details, services and further reading at https://dev.co