What Comes After the MVP? Scaling From MVP to MMP and Version 1.0

Launching an MVP feels like the finish line. In practice, it is the starting gun.

Demand for software keeps growing. Gartner expects worldwide IT spending to reach about $6.4 trillion in 2026, up around 14% (Gartner, 2026).

A bigger market does not make room for weak products, though.

CB Insights reviewed 431 VC-backed startups that shut down since 2023. 70% ran out of capital, but the root causes behind the cash crunch included poor product-market fit (43%) and bad timing (29%) (CB Insights, 2026).

Many of those teams had shipped something. They stalled in the gap between a working MVP and a product customers pay for and rely on.

That gap is where founders make their most expensive calls: what to build next, what to fix, and what to leave alone. Getting them right is the difference between a pilot and a business.

What Comes After the MVP?

After the MVP comes the Minimum Marketable Product (MMP), the first version customers pay for, and then version 1.0, the stable release built for repeatable use at growing scale. Some consumer products add a Minimum Lovable Product (MLP) between the two to win on experience.

Each stage answers a different business question.

Stage	Core question	Main audience	You are done when
MVP	Does anyone need this?	Early adopters	Users return and give consistent feedback on the core problem
MMP	Will people pay for it?	First paying segment	Customers pay without heavy discounts or founder hand-holding
MLP (optional)	Will people choose it over alternatives?	Crowded consumer markets	Users recommend it, and engagement rises
Version 1.0	Can it run without constant rescue?	The wider target market	The core workflow is stable, onboarding is self-serve, and support load is predictable
Scale	Can growth be repeated efficiently?	New segments and regions	Acquisition and expansion follow a predictable pattern

The order matters. Skipping the MMP usually means scaling a product nobody has paid for yet.

Skipping version 1.0 creates the opposite problem: paying customers on a product that breaks under real use.

What Is a Minimum Marketable Product (MMP)?

A Minimum Marketable Product (MMP) is the smallest version of a product that a defined customer segment will pay for, with billing, onboarding, and support in place. It turns what you learned from the MVP into revenue.

The MVP tests a hypothesis. The MMP validates a business model.

An MMP is not a bigger MVP. It is a sharper one, built for one segment that has already shown real interest.

What Must an MMP Include?

An MMP needs five components an MVP can usually skip: billing, self-serve onboarding, basic support, baseline security, and product analytics.

Component	Why it matters	MVP shortcut it replaces
Billing and pricing	Payment validates demand better than any survey	Manual invoices or free access
Self-serve onboarding	Users must reach value without a founder on the call	Founder-led demos and setup
Basic support	Paying users expect answers within a known time	Personal email or chat threads
Baseline security	Paying customers bring real data and real risk	Shared admin logins, weak access control
Product analytics	You need to see activation, conversion, and churn	Spreadsheets and guesswork

Where Does the Minimum Lovable Product (MLP) Fit?

A Minimum Lovable Product (MLP) is a version designed to be preferred, not just usable. It adds polish, delight, and one or two standout features.

It earns its place in crowded consumer categories where users can switch in seconds.

Most B2B products can skip a separate MLP stage. They fold experience improvements into version 1.0 instead.

What Is Version 1.0 in Product Development?

Version 1.0 is the first complete, stable release of a product, built so customers can rely on the core workflow every day without the team stepping in. It adds reliability, monitoring, scalability, and a repeatable signup or sales motion on top of the MMP.

An MMP proves people will pay. Version 1.0 shows they will stay.

It is not “every feature on the roadmap”. A strong version 1.0 is complete for one segment, not for everyone.

What Does Version 1.0 Usually Include?

Version 1.0 usually includes a finished core workflow, self-serve onboarding, access controls, monitoring, automated testing, pricing tiers, and documentation.

• A finished core workflow, with edge cases and error states handled
• Self-serve onboarding with a clear first-value moment
• Role-based access and audit trails where buyers expect them
• Monitoring, alerting, automated backups and a tested recovery plan
• Automated tests and a CI/CD pipeline for safe, frequent releases
• Pricing tiers with a clear upgrade path
• Help documentation and in-app guidance

MVP vs MMP vs MLP vs Version 1.0: What Is the Difference?

An MVP tests demand, an MMP earns revenue, an MLP wins preference, and version 1.0 delivers reliability for a growing user base. They differ in goal, scope, audience, quality bar, and how success is measured.

Factor	MVP	MMP	MLP	Version 1.0
Goal	Validate the problem	Validate the business	Win user preference	Deliver reliable, repeatable value
Scope	One core workflow	Core workflow + billing, onboarding, support	MMP + standout experience	Complete workflow for one segment
Audience	Early adopters	First paying segment	Users with many options	The wider target market
Quality bar	Works for testing	Safe to charge for	Pleasant to use	Stable under daily load
Monetization	Often free or pilot	Paid plans start	Paid, with upsell	Tiered pricing and expansion
Key metric	Activation, qualitative feedback	Conversion to paid, early churn	Referrals, satisfaction	Retention cohorts, revenue retention, uptime
Typical risk	Building the wrong thing	Charging too little	Polishing too early	Scaling on fragile code

How Do You Know Your MVP Is Ready for the Next Stage?

Your MVP is ready to move on when users return without prompting, a clear segment shows willingness to pay, and support requests shift from bug reports to feature requests. One strong signal is not enough; look for three or more pointing the same way.

Signals You Are Ready to Build the MMP

Signal	What to look for	How to measure it
Repeat usage	Retention curves flatten instead of falling to zero	Weekly or monthly retention cohorts
Willingness to pay	Users accept a price, sign a pilot contract, or pre-pay	Pricing conversations and paid pilots
A clear segment	One user type gets far more value than the rest	Usage and retention split by segment
Pull for features	Requests extend the core workflow instead of changing it	Tagged feature requests and support tickets
Organic referrals	New users arrive through existing users	Signup source tracking

For the KPIs behind each signal, see our guide to MVP success metrics.

Revenue Retention Benchmarks to Keep in Perspective

Revenue retention becomes the clearest signal once you start charging.

Across full-year 2025 data, the median SaaS company posted 102% net revenue retention (NRR) and 84% gross revenue retention (GRR) (Aleph × Benchmarkit, 2026).

Smaller companies sit lower. Businesses under $5M ARR posted a median NRR of 94% in the same benchmark (Aleph × Benchmarkit, 2026).

So for an early product, getting close to 100% NRR is a strong result. Do not hold an MMP to the standards of a scaled company. Our SaaS retention benchmarks break these numbers down further.

Signs You Should Stay in MVP Mode

Stay in MVP mode if users drop off fast, the core flow keeps changing, or nobody will pay yet.

• Most users stop using the product after the first week
• The main user flow changes almost every sprint
• Users say they like it, but nobody accepts a price
• Most support tickets are bugs, not requests
• You cannot name your best-fit customer segment

Our Recommendation

Write your “ready to move on” criteria before you look at the data.

Pick 3–5 signals, set a threshold for each, and review them on a fixed date. This stops the team from moving the goalposts after launch.

How to Move From MVP to MMP: Step-by-Step

To move from MVP to MMP, decide on evidence whether to scale, iterate, or pivot, then define one paying segment, scope only what that segment needs, add billing, rebuild onboarding, and cover security basics before launch. The six steps below follow that order.

If your MVP was built as a quick prototype, start with a code review. Our MVP development team can assess whether the current build can carry paying users or needs targeted rework.

Step 1: Make a Scale, Iterate or Pivot Decision

Use your readiness signals to make one clear call. Avoid a vague “keep building”.

Decision	When it fits	Next move
Scale to MMP	Three or more readiness signals are positive	Define the paying segment and scope the MMP
Iterate	Users engage, but activation or retention is weak	Run 2–3 focused experiments on the core flow
Pivot	Usage is low across segments, and pricing tests fail	Revisit the problem, the segment, or the solution

Step 2: Define Your First Paying Segment

An MMP is marketable to someone specific. Name that customer before you write a single ticket.

• Who pays: the role or company type with the strongest usage
• What problem: the one job they hire your product to do
• Who owns the budget: the person who approves the purchase
• What they use today: the tool, spreadsheet, or agency you replace

Step 3: Scope the MMP With a Must-Have Filter

Apply one test to every backlog item: if removing it would stop your segment from paying, it is a must-have.

Priority	What belongs here	Example (B2B SaaS)
Must have	Features the segment will not pay without	Billing, roles, data export, the core workflow end to end
Should have	Features that reduce churn in the first 90 days	Email notifications, templates, a basic dashboard
Could have	Features that help sales but not retention	Custom branding, extra integrations
Won’t have (yet)	Features for other segments or later scale	Enterprise SSO, advanced analytics, marketplace add-ons

Step 4: Add Monetization and Test Your Price

Pricing is not a launch detail. Unsustainable unit economics appeared in 19% of the shutdowns CB Insights analyzed (CB Insights, 2026).

Build the billing layer properly at this stage:

• Subscription plans, trials and one-time payments, as your model needs
• Invoices, taxes and receipts in the formats your buyers expect
• Failed-payment retries and card-update reminders
• A simple way to change plans, so upgrades do not need a sales call

Test a real price with your first segment. Free access teaches you about interest, not about value.

Step 5: Rebuild Onboarding Around First Value

Define the activation event: the moment a new user first gets the result they came for.

Then remove every step between signup and that moment that does not need to be there.

• Use templates or sample data, so users never start from a blank screen
• Add guided setup for the 2–3 settings that matter most
• Use AI-powered workflow automation to pre-fill data, send timely nudges, and route support requests
• Track where new users drop off, and fix the biggest drop first

Step 6: Harden Security, Then Launch to Your Segment

Paying customers bring real data. Close the obvious gaps before you invite them in.

• Role-based access control and individual admin accounts
• Encryption in transit and at rest
• Audit logs for sensitive actions
• Automated backups and a tested restore

If you handle health, payment, or personal data, confirm which rules apply to your product, such as HIPAA, PCI DSS, or GDPR. Then build the safeguards they require before launch.

Launch to your defined segment first. A narrow release gives you cleaner data and fewer support fires.

How to Go From MMP to Version 1.0

Going from MMP to version 1.0 means turning a product that earns revenue into one that keeps it: complete the core workflow, pay down the debt that threatens reliability, upgrade architecture where load demands it, and build the operations to run it daily.

Complete the Core Workflow, Not the Wishlist

Look at where paying users get stuck, work around the product or contact support.

Those gaps define version 1.0. A long list of new feature ideas does not.

Handle edge cases, error states, and empty states. These rarely appear in demos, but they shape daily use.

Pay Down the Technical Debt That Matters

Technical debt is expensive at every size. Deloitte estimates it absorbs 21%–40% of an organization’s IT spending (Deloitte, 2026).

Some MVP debt is healthy. It bought you speed. The goal is to fix the debt that now creates recurring risk.

Debt type	Fix before version 1.0 if	It can wait if
Data model	It cannot represent new customer types or pricing	It fits the next 12 months of roadmap
Security	It exposes customer data or admin access	Never: fix security debt first
Performance	Core pages or jobs slow down as usage grows	Load is far below current capacity
Test coverage	Releases regularly break the core workflow	The area is rarely changed
Code structure	Small changes take days and cause side effects	The code is messy but stable

Upgrade Architecture Only Where Load Demands It

Most version 1.0 products do not need microservices. A well-structured modular application is usually faster to build and cheaper to run.

Upgrade where real usage shows strain:

• Background job queues for reports, imports, emails, and AI tasks
• Caching for frequent reads such as dashboards and catalogs
• Tenant isolation for B2B SaaS, so one customer’s data and load never affect another
• Auto-scaling for products with sharp traffic spikes

For SaaS products, this is also the point to confirm your tenancy and billing model. Our SaaS application development services cover multi-tenant architecture, subscription billing, and role-based access for this stage.

Build the Operating Layer

Version 1.0 needs operations, not just features. Customers notice downtime faster than new buttons.

• CI/CD pipelines with automated tests on every release
• Error tracking, uptime alerts, and performance dashboards
• An incident runbook that names who responds and how
• Defined support hours and response targets

Make Growth Repeatable

Version 1.0 should grow revenue from existing customers, not only from new ones.

That matters for efficiency. In 2025 SaaS benchmark data, expansion cost about $0.80 per dollar of new ARR, against $1.63 for winning new customers (Aleph × Benchmarkit, 2026).

Build tiered plans, in-app upgrade prompts, and usage visibility, so customers can see when they need more.

What Technical Changes Does Scaling an MVP Require?

Scaling an MVP usually means replacing a set of common shortcuts, such as manual deployments, missing tests, shared admin logins, no backups, and no monitoring. Fix the ones that affect paying users before the MMP, and the rest before version 1.0.

MVP shortcut	Upgrade	Fix by
Manual deployments	CI/CD pipeline with automated checks	MMP
Few or no automated tests	Unit and integration tests on the core workflow	MMP
Shared admin logins	Role-based access control and audit logs	MMP
Hard-coded settings and secrets	Environment configuration and a secrets manager	MMP
Single database with no backups	Automated backups and a tested restore	MMP
No monitoring	Error tracking, uptime alerts, and performance dashboards	Version 1.0
Heavy tasks run during user requests	Background job queues	Version 1.0
Customer data in one shared space	Tenant isolation (B2B SaaS)	Version 1.0
No caching	Caching for frequent reads	Scale stage

Technource’s Approach

Start post-MVP work with a code and architecture review, not a feature list.

Sort every shortcut into three buckets: fix before paying users, fix before version 1.0, or leave for now. The budget then goes to risk, not polish.

Should You Rebuild or Refactor Your MVP?

Refactor when the core data model and architecture still fit the product you now plan to build. Rebuild only when they block the MMP or version 1.0 and fixing them would cost more than starting over.

In most cases, refactoring is cheaper and less risky. It keeps what works and lets you ship improvements in stages.

Factor	Refactor if	Rebuild if
Data model	It can be extended for new users and pricing	It cannot represent your core business objects
Technology stack	It is mainstream and well supported	It is outdated, unsupported, or a dead-end no-code tool
Test coverage	Key flows have some tests	Nothing is tested, and every change breaks something
Team knowledge	Someone understands the codebase	Nobody can safely change it
Security	Gaps can be closed with targeted fixes	Security issues are built into the design
Timeline pressure	You need paying users soon	You have runway to rebuild and validate again

Remember the cost of starting over. Technource scopes a new MVP build at 8–24 weeks, depending on complexity, and a rebuild repeats much of that work.

No-code MVPs are a common exception. They are fast to validate but often need a custom rebuild once workflows, integrations, or data volumes grow.

What Are the Most Common Mistakes After the MVP?

The most common post-MVP mistakes are scaling before retention is proven, chasing every feature request, delaying pricing, rebuilding too early, over-engineering infrastructure, and hiring ahead of evidence.

1. Scaling Before Retention Is Proven

More marketing spend cannot fix a leaky product. It only brings more users who leave.

Runway is the real constraint here. Among startups that shut down, the median time from last raise to closure was 22 months (CB Insights, 2026).

2. Treating Every Feature Request as a Priority

Five customers asking for the same thing may matter. One loud customer with a niche request may not.

Group requests by the problem behind them before you score anything. Our guide on how to prioritize app features for MVP development covers this step.

3. Delaying Pricing

Teams often keep the product free “until it is ready”. The result is a user base that never planned to pay.

4. Rebuilding Too Early

A full rewrite feels clean, but it pauses learning for months. Refactor first unless the architecture truly blocks you.

5. Over-Engineering Infrastructure

Designing for millions of users while struggling to keep your first thousand wastes budget. Match infrastructure to current demand plus one stage ahead.

6. Hiring Ahead of Evidence

Large teams raise burn and slow decisions. Add people when a proven workflow needs more capacity, not to find one.

How Long Does It Take to Go From MVP to Version 1.0?

Moving from a validated MVP to version 1.0 typically takes about 4–9 months: roughly 6–12 weeks to build and launch the MMP, then 3–6 months to reach a stable version 1.0. Scope, team size, and how much MVP code you can reuse decide where you land.

Stage	Typical timeline	Main work
Simple MVP	8–10 weeks	One core feature, one platform, limited integrations
Mid-complexity MVP	12–16 weeks	Multiple features, accounts, payments, and integrations
Complex MVP	16–24 weeks	Multi-platform, advanced backend logic or compliance needs
Post-launch validation	4–8 weeks	Collect retention cohorts, test pricing, interview users
MMP	6–12 weeks	Billing, onboarding, support, security basics, analytics
Version 1.0	3–6 months	Complete workflow, debt paydown, monitoring, scale-ready architecture

Timelines shrink when the MVP code is reusable and the paying segment is already clear. They grow when compliance reviews, data migration, or a rebuild enter the plan.

How Much Does It Cost to Scale From MVP to MMP and Version 1.0?

With Technource, an MVP costs $8,000–$15,000 (simple), $20,000–$30,000 (mid-complexity), or $30,000–$50,000 (complex), and an AI MVP costs $10,000–$50,000. MMP and version 1.0 budgets depend on how much MVP code can be reused, so they are scoped after a code review. For the earlier stage, see our MVP development cost breakdown.

Stage	Technource price	Timeline
Simple MVP	$8,000–$15,000	8–10 weeks
Mid-complexity MVP	$20,000–$30,000	12–16 weeks
Complex MVP	$30,000–$50,000	16–24 weeks
AI MVP	$10,000–$50,000	Scoped per project

What Drives Post-MVP Cost?

Post-MVP cost depends mainly on code reuse, integrations, compliance, platforms, and AI features.

• Reusable MVP code: more reuse means less rework
• Integrations: payments, CRM, ERP, shipping, or identity providers
• Compliance: regulated data adds design, testing, and documentation work
• Platforms: web, iOS and Android each add build and QA effort
• AI features: model selection, evaluation, and cost-per-request tuning
• Data migration: moving MVP data into a new structure safely

What Ongoing Costs Should You Plan For?

Budget separately for cloud hosting, third-party APIs, monitoring tools, and maintenance.

These depend on usage and the project, so review them monthly as your user base grows. Our SaaS maintenance and support guide breaks these costs down.

Post-MVP Priorities by Product Type

Post-MVP priorities depend on the business model: SaaS products focus on billing and multi-tenancy, marketplaces on payments and trust, mobile apps on retention and performance, AI products on accuracy and unit cost, and internal tools on permissions and integrations.

Product type	MMP priority	Version 1.0 priority	Key metric
B2B SaaS	Billing, onboarding, roles	Tenant isolation, SSO, audit logs, integrations	Gross and net revenue retention
Marketplace	Payments, payouts, listing quality	Trust and safety, disputes, search	Repeat transactions
Mobile app	Store-ready UX, push notifications, analytics	Performance, offline support, crash reduction	Day-30 retention
AI product	Accuracy on the core task, guardrails	Evaluation pipeline, cost per request, human review	Task success rate, unit cost
Internal workflow tool	Core automation, permissions	Integrations, audit trails, AI-powered workflow automation	Hours saved, team adoption

Future Trends Shaping the Post-MVP Playbook

Three trends are changing what comes after the MVP: AI-powered workflow automation built into products, pricing that grows with usage, and AI-assisted development that speeds delivery but needs stronger review.

AI-Powered Workflow Automation Moves Into the Core Product

Buyers now expect products to remove manual work, not just organize it.

After the MVP, start with 1–2 workflows tied to a metric you already track, such as onboarding time or support volume. Prove the gain, then expand. Our custom AI automation solutions start with this kind of narrow, measurable workflow.

Usage-Based Pricing Lifts Expansion

Pricing model now shapes retention. Usage-based SaaS companies posted a median NRR of 108%, compared with 98% for seat-based companies (Aleph × Benchmarkit, 2026).

If customers get more value as they use more, test a consumption-linked component in your MMP or version 1.0 pricing. Our SaaS subscription model guide compares the main pricing options.

AI-Assisted Development Needs Stronger Review

AI coding tools help teams ship faster. They also make it easier to add code nobody fully understands.

Peer review, automated tests, and clear architecture decisions matter more at version 1.0, not less.

Compliance Moves Earlier in the Roadmap

Data protection expectations now reach early-stage products. Enterprise buyers ask security questions before the first contract.

Plan access controls, audit logs, and data handling into the MMP, rather than retrofitting them later.

Technource’s Approach: From MVP to Version 1.0

Technource treats the post-MVP phase as product engineering: one plan that connects product decisions, code quality and business metrics.

Phase	What happens	Output
1. Product and code review	Review usage data, feedback, and the MVP codebase	Readiness assessment and shortcut list
2. MMP scope and pricing	Define the paying segment, must-haves, and billing model	Prioritized MMP backlog
3. MMP build	Build in sprints with demos and reprioritization	MMP live for the first paying segment
4. Hardening for version 1.0	Pay down key debt, add monitoring, CI/CD, and scaling upgrades	Stable version 1.0 release
5. Launch and iterate	Track retention, add AI-powered workflow automation where it saves time	Data-backed roadmap for the scale stage

Technource Case Studies: Building for Paying Users and Scale

These projects show three post-MVP priorities in practice: monetization in a marketplace, multi-tenancy in SaaS, and performance under load in fintech.

How Technource Built Equipt, an Equestrian Marketplace With 65% Faster Product Discovery

We built Equipt, a UK-based marketplace where buyers and sellers trade equestrian gear.

Very different products, from saddles to feed, required structured listings. The startup also needed shipping without its own logistics network, GDPR-ready data controls, and secure seller payouts.

Technource built dynamic categories with custom form fields, so sellers only see the fields their product needs.

We integrated Royal Mail, Evri and TrackingMore for shipping charges, labels and tracking, and Stripe Connect for seller payouts, refunds and disputes. Sellers can buy add-ons such as featured listings, which gives the platform revenue beyond transactions.

The stack included Laravel, Flutter, MySQL, Stripe, Royal Mail, Evri and TrackingMore.

Measurable Result

• 65% faster product discovery with advanced filters
• 70% better order and dispute handling efficiency
• Automated shipping charges, label generation and tracking for sellers
• Paid seller add-ons, such as featured listings and extended ad duration
• GDPR controls, including consent at signup, data export and deletion, and encrypted storage

How Technource Built Telepath, a Multi-Tenant Online Pharmacy Platform With 65% Faster E-Prescribing Approvals

We built Telepath, a SaaS pharmacy platform that lets healthcare organizations launch branded online pharmacies with e-prescriptions and telehealth.

Each provider needed its own portal, secure prescribing, and smooth handoffs to dispensing and shipping partners.

Technource built a multi-tenant architecture that runs every tenant on a separate subdomain or custom domain.

We integrated DoseSpot for secure e-prescribing, Agora for telehealth consults, and Carepoint, TransitionRx, and Easypost for pharmacy coordination and shipment tracking. Flexible sign-up flows let each organization control patient onboarding.

The stack included React.js, Node.js, MySQL, AWS S3, DoseSpot, Agora, Carepoint, TransitionRx, Easypost, and Paytheory.

Measurable Result

• 65% faster e-prescribing approvals
• 90% transparent onboarding with flexible sign-up flows
• Multiple organizations running independent branded pharmacies from one shared platform
• Connected pharmacy and shipping workflows with real-time order tracking
• Audit logs and pharmacy order tracking to support compliance
• Integrated payments and automated cart recovery to improve purchase conversions

How Technource Built SuitMe, a Crypto Trading and Staking Platform With 70% Faster Transaction Processing

We built SuitMe, a crypto exchange for a client in Spain where users trade, swap, and stake multiple cryptocurrencies with fiat support.

Trading peaks during volatile markets, so the platform had to absorb sudden load without downtime, keep prices in sync, and process fiat and crypto transfers securely.

Technource integrated BitGo APIs for trading and staking, with a caching layer that refreshes price feeds every second. Token-based authentication, encryption, and KYC verification protect every transfer.

A microservices architecture with AWS auto-scaling and load balancing handles traffic surges. The stack included Next.js, Node.js, Express.js, Flutter, MySQL, BitGo, AWS, Kubernetes, and Docker.

Measurable Result

• 70% faster crypto and fiat transaction processing
• Live price feeds refreshed every second through a caching layer
• Auto-scaling infrastructure built for trading spikes
• KYC verification, encryption and token-based authentication on transfers
• Automated recurring buys and daily staking reward updates

Why Choose Technource for Post-MVP Product Engineering?

With 14+ years of experience and 1,000+ projects delivered, Technource helps founders take products from first release to a stable, scalable platform.

• One team from MVP to version 1.0: product strategy, UI/UX, engineering, QA, and DevOps under one roof
• Review before rebuild: we assess your existing code first and reuse what works
• SaaS and platform depth: multi-tenancy, subscription billing, roles and integrations
• AI-powered workflow automation: built into products where it saves measurable time
• Transparent scope: changes are estimated and agreed with you before any work starts

Explore our software product development services to see how we plan, build, and scale digital products end to end.

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Related Insights and Articles

What Comes After the MVP? Scaling From MVP to MMP and Version 1.0

MVP Success Metrics: 12 KPIs That Prove Product-Market Fit

No-Code vs. Vibe Coding vs. Custom MVP: A 2026 Decision Guide for Founders