A Weekend-by-Weekend Vue 2 to Vue 3 Migration That Actually Shipped
Vue 2 reaches end of life at the end of 2023, forcing thousands of teams to migrate. This field report shows that automated tooling solves less than a third of the work, and the real cost is in manually untangling scattered component logic and fixing silent runtime behavior changes like the `.sync` modifier removal.
A legacy Vue 2 backend with no TypeScript and four former maintainers was upgraded to Vue 3, TypeScript, and Vite over three weekends. The migration tool only handled 30% of the work; the rest required manual rewrites of the Options API to Composition API, router upgrades, and a state-management shift from Vuex to Pinia. A missed `v-model` behavior change in Vue 3 broke a form submission, underscoring that migration guides must be checked line by line, not from memory.
Adding TypeScript exposed practical friction: optional interface props break templates, `ref(null)` infers the wrong type, and older libraries need custom `.d.ts` shims. The payoff was immediate — IDE autocomplete finally worked across the entire codebase. Engineering improvements in the final weekend added auto-formatting on commit, component auto-imports, and environment variable management that replaced hardcoded API addresses.
When a neighboring team needed the same upgrade, they copied the configuration directly, valuing a working setup over polished alternatives. The core takeaway is that effective frontend tooling isn't about novelty; it's about guardrails that let the least experienced team member produce acceptable code.
The gap between official migration guides and real-world codebases is wide: the guide won't tell you that four previous developers left four different coding styles, and that untangling those styles is the actual bottleneck.
A working, imperfect configuration that a colleague can copy immediately has more organizational value than a polished, documented solution they won't read.
The metric for good frontend tooling isn't technical sophistication but whether it prevents the weakest team member from shipping broken code.
The loudest objection is that a solo, unannounced production refactor is reckless: no milestones, no stakeholder sync, no test coverage, and the refactorer alone absorbs the risk while the company reaps the benefit. A counterpoint emerges in a reply — the work was split into four PRs with rollback plans and the schedule was confirmed with the boss. A second current runs through the thread: the refactor is seen as scab behavior that eliminates maintenance work for others and could lead to layoffs once the system needs fewer people. Several comments dismiss the effort as busywork that AI could handle in an hour, while a few quieter voices acknowledge the planning required to ship in three weekends and note that AI-assisted refactoring changes the cost equation.
Your passion for technology is something I acknowledge, but if I met a colleague like this I would stay far away. Reasons: 1. No standardized plan or milestones, relying purely on personal experience and enthusiasm. What if the schedule slips? What if you hit a technical bottleneck? 2. Even if the refactor only changes structure and not logic, problems can still arise: edge cases, compatibility issues — were these communicated with QA? Did all test cases pass? 3. The whole process was never synced with management or the team; solo operation. 4. What happens if issues arise after going live? Was there a contingency plan? Support personnel? Who takes accountability? This kind of work — donating credit to the company while keeping all the risk for yourself — is only suitable for personal demo projects, not production systems. These are just some of my immature thoughts. Hope they give you a little food for thought.
😊 Thank you for your thoughtful comment. I'll do a proper retrospective on this 👍
No problem.
Great, another pot to carry. You refactor on your own overtime, and later every bug in this project will basically be yours to own.
Haha
Haha, that risk is real, so I confirmed the schedule with my boss before the refactor — I didn't do it in secret 😂 And I split the changes into four PRs, each with a rollback plan. If bugs do appear, the whole team shares the blame, not just me. Ah, whatever, hahaha
The hardest part of a refactor isn't the code itself — it's pushing it forward without affecting the business. Finishing in three weekends shows good planning. Component-based splitting does improve maintainability a lot, but without matching unit test coverage, subsequent iterations will still easily bury landmines.