How We Ship MVPs in 6 Weeks Without Cutting Corners

We ship production-grade MVPs in six weeks by freezing scope after week one, slicing thin through the whole stack, deploying daily, and writing down every shortcut we take on purpose.

Most shops quote three to six months for an MVP. We do it in six weeks, and we don't ship garbage to get there. The trick isn't working faster or skipping sleep. It's deciding what not to build, then building the rest as thin vertical slices through the whole stack so the product is usable from week two. Below is exactly how we run it, including the shortcuts we take on purpose and the ones we refuse to.

The six-week clock

We don't build in phases where the database lands in week one and the UI shows up in week five. We cut thin slices through the entire stack every week. Something works end to end almost immediately, and it gets wider as we go. Here's the rough shape of the six weeks.

Saying no is the hard part

Coding fast is easy. Cutting the feature list down to what actually matters is what people can't stomach. We run MoSCoW hard and we're aggressive about the buckets. Must-Have is maybe 20% of the wishlist: the core flow that delivers the value, payments if you're charging on day one, real auth and HTTPS, and enough error handling that the app doesn't fall over. Should-Have is another 20%, secondary flows, basic analytics, email for critical events, simple admin. Could-Have and Won't-Have soak up the remaining 60%: fancy animations, edge-case users, multi-language, native mobile apps. Web first, always.

A client came to us wanting a course platform with a 50-item feature list. We shipped four things: course creation with video upload, enrollment and access, progress tracking, and Stripe. Everything else, certificates, quizzes, discussions, a mobile app, multi-instructor, SCORM export, coupon codes, got pushed to v2. They onboarded their first 100 paying students on that v1. Then we built v2 from what those students actually did, not from a spreadsheet of guesses.

Shortcuts that hold, shortcuts that bite

"Move fast and break things" is bad advice. We move fast by picking boring architecture, not by writing sloppy code. A well-structured monolith deploys faster and debugs easier than microservices, and it scales further than people assume, you do not need Kubernetes for 100 users. Postgres pulls a lot of weight here: primary store, job queue via SKIP LOCKED, full-text search, even a cache with unlogged tables. One database to run and back up. Server-side rendering over a heavy SPA keeps the mental model simple and the SEO sane. And anything you're tempted to automate for an admin? Do it by hand for the first 100 users. You'll find out what's actually worth automating.

The shortcuts that come back to hurt you are a different category, and we never take them: no skipping tests (that just breeds fear of touching the code), no missing error monitoring, no hard-coded credentials, no skipping backups, no raw SQL string-building. Those aren't speed, they're a bill you pay later with interest.

Test what breaks, skip what doesn't

We don't skip testing. We aim it. Unit tests go on business logic, the calculations, validations and transformations the product depends on. Integration tests cover the flows that, if broken, mean the product is broken: signup, purchase, the core workflow. One E2E test walks the happy path and runs before every deploy. Humans handle exploratory QA for weird screen sizes and error states, because people are better at "what if the user does this." The 80/20 cut: write tests for code that touches money, touches auth, is hard to check by hand, or breaks a lot. Skip them on layout code, boilerplate CRUD, and thin wrappers around third-party libraries. We defer big E2E suites, visual regression, and load testing until there's traffic worth testing against.

Deploy every day, even when it's ugly

We push to staging daily, often more than once. Sounds reckless; it's the opposite. Small changes mean that when something breaks, it's hidden in the last ten commits, not the last hundred. Stakeholders see real progress instead of "trust us, it's coming." Every deploy is boring because it's tiny, which kills the 2am big-bang release. And you can't actually deploy daily without feature flags, clean migrations, and a rollback path, so the discipline gets forced on you for free. The whole pipeline runs in under five minutes: tests pass, it hits staging; smoke tests pass, it's ready for review and production.

Debt you wrote down isn't a problem

Technical debt isn't the enemy. Untracked debt is. Every shortcut we take gets logged with four things: what we did, why, what the proper fix looks like, and the trigger to revisit it. Polling instead of WebSockets until 1K concurrent users. Manual refunds until they cross 50 a month. A single database until 10K daily users. No image pipeline until the product gets image-heavy. We pay debt down when it hurts users, when it slows new work by more than ~20%, or when we hit a documented threshold. Security debt is the exception, that gets paid immediately, no negotiation. The result is we never wake up six months later wondering how the codebase turned to mud. We chose every shortcut on purpose and we know when each one comes due.

Six weeks isn't about cutting corners. We cut features that don't move the core value, premature optimization, automation we can do by hand, and the urge to make it perfect. We never cut tests on critical paths, security basics, error monitoring, code review, or docs. What comes out the other end is a production-grade product that can carry thousands of users and a real foundation to build v2 on, shaped by what users actually do, not what a kickoff deck assumed.

We help teams design and ship production-grade software in eLearning, fintech, and AI. Let's talk about your project.