[{"data":1,"prerenderedAt":725},["ShallowReactive",2],{"blog-mvp-vs-scalable-architecture-what-to-cut-what-to-keep":3,"categories":686},{"date":4,"authorId":5,"category":6,"tags":7,"image":13,"readingTime":14,"published":15,"cluster":16,"post_type":17,"faq":18,"id":31,"title":32,"body":33,"description":679,"extension":680,"meta":681,"navigation":15,"path":682,"seo":683,"stem":684,"__hash__":685},"2026-10-07",2,"engineering",[8,9,10,11,12],"mvp development","scalable architecture","technical debt","software architecture","startup founders","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1531403009284-440f080d1e12?w=1200&q=80",14,true,"Build to Scale","spoke",[19,22,25,28],{"question":20,"answer":21},"Should an MVP be built to scale?","An MVP should not be built for scale it does not have yet — no microservices, no multi-region infrastructure, no premature optimisation. But it should be built so that scaling is possible without starting over. That means a sound data model, a deliberate API contract, proper authentication and access control, and stateless application servers. Those decisions cost little on day one and are very expensive to change later.",{"question":23,"answer":24},"What can you safely cut from an MVP?","Anything that is cheap to add or change later: secondary features, visual polish, admin tooling, most third-party integrations, and infrastructure built for load you do not have. The test is reversibility. If a decision can be changed with an ordinary code change, it is a safe cut.",{"question":26,"answer":27},"What should never be cut from an MVP?","The decisions that are expensive to reverse once real users and real data exist: the database schema and core data model, the API contract that clients depend on, authentication and authorisation, and the basic operational foundations — automated deployments, migrations in version control, error tracking, and tested backups.",{"question":29,"answer":30},"Is it better to rewrite an MVP or refactor it?","In most cases, refactor. A full rewrite discards the bug fixes and edge-case knowledge accumulated in production and freezes product progress while the new system catches up. Rewrites become unavoidable when the foundations — usually the data model, tenancy or security model — cannot support the business. That is exactly why those foundations are the part of an MVP you should not cut.","content\u002Fblog\u002Fmvp-vs-scalable-architecture-what-to-cut-what-to-keep.md","MVP vs. Scalable Architecture: What to Cut and What to Keep",{"type":34,"value":35,"toc":656},"minimark",[36,49,52,55,60,63,69,76,79,82,87,91,94,97,104,111,114,118,125,130,136,139,147,151,156,159,162,166,171,174,177,181,186,189,196,203,207,212,215,219,222,226,231,234,237,286,290,295,298,300,336,340,345,348,359,361,387,391,396,399,431,434,438,441,444,451,458,461,465,468,471,485,492,496,499,525,534,538,647],[37,38,39,40,44,45,48],"p",{},"An MVP gives you permission to build ",[41,42,43],"strong",{},"narrowly",". It does not give you permission to build ",[41,46,47],{},"badly",".",[37,50,51],{},"Those two ideas get confused constantly — and the confusion is expensive. Founders hear \"minimum viable product\" and conclude that everything about the first version should be minimal: minimal features, minimal design, minimal engineering. The first two are often right. The third is how a startup ends up with a product that works for its first few hundred users and then needs to be rebuilt at the exact moment it has traction, funding pressure, and no time to stop.",[37,53,54],{},"This post is about drawing that line precisely: which corners are safe to cut in your first version, and which architecture decisions you need to get right before the first real user signs up.",[56,57,59],"h2",{"id":58},"what-an-mvp-is-actually-for","What an MVP is actually for",[37,61,62],{},"The term \"minimum viable product\" was coined by Frank Robinson in 2001 and popularised by Steve Blank and Eric Ries. Ries's definition, from 2009, is the one most founders work from:",[64,65,66],"blockquote",{},[37,67,68],{},"\"The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.\"",[37,70,71,72,75],{},"Notice what the definition optimises for: ",[41,73,74],{},"learning",", not cheapness. Ries is explicit about this in the same piece — \"MVP, despite the name, is not about creating minimal products.\"",[37,77,78],{},"The learning an MVP is meant to produce is overwhelmingly about the market. CB Insights' March 2026 analysis of 431 VC-backed startups that shut down since 2023 found poor product-market fit cited in 43% of the closures where the reasons could be identified. Running out of capital was cited even more often (70%), but as CB Insights points out, that is usually how a startup dies rather than why. The risk an MVP exists to retire is \"will anyone want this?\" — not \"can our database handle a million rows?\"",[37,80,81],{},"That gives you the first principle of MVP scoping:",[37,83,84],{},[41,85,86],{},"Cut aggressively wherever the cut only delays learning about the market. Do not cut where the cut creates a cost you will pay after the market has said yes.",[56,88,90],{"id":89},"two-kinds-of-shortcuts-prudent-debt-and-reckless-debt","Two kinds of shortcuts: prudent debt and reckless debt",[37,92,93],{},"Ward Cunningham introduced the technical debt metaphor at the OOPSLA conference in 1992. The idea is simple: a shortcut in the code is like borrowing money. You ship sooner, but you pay interest every time you work in that part of the system afterwards. Martin Fowler describes the interest precisely: \"The extra effort that it takes to add new features is the interest paid on the debt.\"",[37,95,96],{},"Fowler also points out where the metaphor diverges from real debt, and it matters for MVPs: you only pay the interest when you touch the code. A messy admin screen that nobody changes costs you almost nothing. A messy data model that every feature depends on charges interest on every single feature you build.",[37,98,99,100,103],{},"In 2009, Fowler classified technical debt along two axes: deliberate vs. inadvertent, and prudent vs. reckless. The quadrant that matters here is ",[41,101,102],{},"prudent and deliberate"," debt — a team knowingly taking a shortcut to ship sooner, with an understanding of what it will cost to repay. That is what a well-run MVP is made of.",[37,105,106,107,110],{},"The trap is ",[41,108,109],{},"reckless"," debt: shortcuts taken without understanding their cost, or messes created because nobody knew better. Fowler is blunt about the latter: \"a mess is not a debt.\" It does not have a repayment plan. It just compounds.",[37,112,113],{},"The rest of this post is a practical sorting of MVP shortcuts into those two buckets.",[56,115,117],{"id":116},"what-to-cut","What to cut",[37,119,120,121,124],{},"The test for every item below is the same: ",[41,122,123],{},"if you get it wrong or leave it out, can you fix it later with an ordinary code change?"," If yes, it is a safe cut.",[126,127,129],"h3",{"id":128},"_1-feature-scope","1. Feature scope",[37,131,132,135],{},[41,133,134],{},"The core question:"," What is the one workflow that proves the product is worth paying for?",[37,137,138],{},"Build that workflow end to end and cut nearly everything around it. Secondary user roles, settings pages, notification preferences, bulk actions, reporting dashboards, edge-case flows that affect a handful of users — all of it can wait for evidence that the core workflow matters.",[37,140,141,142,146],{},"Feature scope is the safest thing to cut precisely because features are additive. Adding a feature in month four rarely requires changing what you built in month one — ",[143,144,145],"em",{},"if"," the foundations underneath were designed properly. That \"if\" is the subject of the second half of this post.",[126,148,150],{"id":149},"_2-nice-to-have-ui","2. Nice-to-have UI",[37,152,153,155],{},[41,154,134],{}," Does this polish change whether a user can complete the core workflow and understand its value?",[37,157,158],{},"If not, cut it. Custom illustrations, animations, dark mode, a bespoke design system, pixel-perfect responsive behaviour on every breakpoint — these are expensive to build and cheap to add later. Use a well-maintained component library, keep the interface clean and consistent, and invest in clarity rather than decoration.",[37,160,161],{},"This is not the same as shipping something confusing. An interface that users cannot understand corrupts the learning the MVP exists to produce: you cannot tell whether people rejected the product or rejected the interface.",[126,163,165],{"id":164},"_3-excess-integrations","3. Excess integrations",[37,167,168,170],{},[41,169,134],{}," Does this integration need to be automated before you have proven anyone wants the result?",[37,172,173],{},"Every third-party integration adds a dependency, an authentication flow, an error surface, and ongoing maintenance as the third party changes its API. Early on, many of them can be replaced with something manual: a CSV export instead of a sync with the customer's CRM, an email notification instead of a Slack app, a person on your team doing a step by hand instead of an automated pipeline.",[37,175,176],{},"Where an integration genuinely is core — payments, for example — integrate it properly, but wrap it behind your own internal interface rather than calling the provider's SDK from everywhere in the codebase. That one decision keeps a future provider switch a contained change rather than a hunt through dozens of files.",[126,178,180],{"id":179},"_4-infrastructure-built-for-load-you-do-not-have","4. Infrastructure built for load you do not have",[37,182,183,185],{},[41,184,134],{}," Are you solving a scaling problem you have, or one you hope to have?",[37,187,188],{},"Microservices, Kubernetes clusters, multi-region deployments, event-sourcing frameworks and elaborate caching layers all solve real problems — at a scale an MVP does not have. Before that scale, they add operational overhead and slow down the one thing an MVP needs most: fast iteration.",[37,190,191,192,195],{},"Martin Fowler's advice in ",[143,193,194],{},"MonolithFirst"," (2015) is direct: \"you shouldn't start a new project with microservices, even if you're sure your application will be big enough to make it worthwhile.\" His reasoning is that you do not yet know where the right service boundaries are, and building a monolith first lets you discover them.",[37,197,198,199,202],{},"This is also where Donald Knuth's most quoted line belongs. In his 1974 paper ",[143,200,201],{},"Structured Programming with go to Statements",", he wrote: \"We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil.\" The sentence that follows is quoted far less often: \"Yet we should not pass up our opportunities in that critical 3%.\" The second half of this post is about that 3%.",[126,204,206],{"id":205},"_5-internal-tooling","5. Internal tooling",[37,208,209,211],{},[41,210,134],{}," Could a founder handle this task by hand for the first few months?",[37,213,214],{},"Admin panels, internal analytics dashboards, customer-support tooling and content-management screens can usually be replaced in the early days with direct database access by a trusted engineer, a few well-tested scripts, or an off-the-shelf tool. Build them when the manual version starts costing real time.",[56,216,218],{"id":217},"what-to-keep","What to keep",[37,220,221],{},"These are the decisions that are cheap on day one and expensive later. They have one thing in common: once real users and real data depend on them, changing them stops being a code change and becomes a migration, a breaking change for clients, or a security incident.",[126,223,225],{"id":224},"_1-the-data-model-and-database-schema","1. The data model and database schema",[37,227,228,230],{},[41,229,134],{}," Will this data model still be correct when you have a hundred times the users, customers who are organisations rather than individuals, and three features you have not imagined yet?",[37,232,233],{},"Code can be refactored in an afternoon. Data that has been written in the wrong shape for eighteen months has to be migrated — carefully, often while the system is live, and sometimes with information that was never captured and cannot be recovered.",[37,235,236],{},"What to get right from the start:",[238,239,240,247,253,259,274,280],"ul",{},[241,242,243,246],"li",{},[41,244,245],{},"Model the core entities deliberately."," Decide what a user, an account, an organisation and the central object of your product actually are, and how they relate. Most painful rewrites trace back to a relationship modelled as one-to-one that turned out to be one-to-many.",[241,248,249,252],{},[41,250,251],{},"Decide on tenancy early."," If you will ever sell to teams or companies, every relevant row needs to know which tenant it belongs to. Adding a tenant identifier to every table and query after the fact is one of the most expensive retrofits there is.",[241,254,255,258],{},[41,256,257],{},"Choose identifiers on purpose."," In 2012, Instagram — then a small engineering team with more than 30 million users in under two years — presented how it designed 64-bit IDs combining a timestamp, a logical shard ID and a sequence number, generated inside PostgreSQL. Those IDs were time-sortable and could be spread across thousands of logical shards mapped onto far fewer physical servers. You do not need sharding on day one. You do need identifiers that will not force a migration of every foreign key when you outgrow a single database.",[241,260,261,264,265,269,270,273],{},[41,262,263],{},"Store money and time correctly."," Use integer minor units (cents) or a fixed-precision decimal type for money, never floating point: in standard binary floating point, ",[266,267,268],"code",{},"0.1 + 0.2"," is ",[266,271,272],{},"0.30000000000000004",". Store timestamps in UTC with time-zone information and convert only for display.",[241,275,276,279],{},[41,277,278],{},"Let the database enforce integrity."," Foreign keys, unique constraints and NOT NULL constraints cost nothing to declare at the start and catch whole classes of bugs before they corrupt your data.",[241,281,282,285],{},[41,283,284],{},"Keep schema migrations in version control."," Every change to the schema should be a reviewed, repeatable migration — never a manual edit on the production database.",[126,287,289],{"id":288},"_2-the-api-contract","2. The API contract",[37,291,292,294],{},[41,293,134],{}," If a client you do not control depends on this API, can you change it without breaking them?",[37,296,297],{},"The moment a mobile app ships to an app store, a partner integrates, or a customer writes a script against your API, the API stops being an implementation detail. Old app versions stay in the wild for months, and you cannot force partners to update on your schedule.",[37,299,236],{},[238,301,302,312,318,324,330],{},[241,303,304,307,308,311],{},[41,305,306],{},"Version the API from day one",", even if ",[266,309,310],{},"v1"," is the only version for a long time.",[241,313,314,317],{},[41,315,316],{},"Design resources around your domain, not your database tables."," An API that mirrors the schema directly means every schema change becomes a breaking API change.",[241,319,320,323],{},[41,321,322],{},"Paginate list endpoints from the start."," Every list is small in the MVP, and some of them will not stay small. Adding pagination later changes the response shape that clients already depend on.",[241,325,326,329],{},[41,327,328],{},"Use one consistent error format"," with machine-readable codes.",[241,331,332,335],{},[41,333,334],{},"Make operations that move money or create important records safely retryable."," Stripe's API, for example, supports idempotency keys so that a client can retry a request after a network error \"without risk of creating a second object or performing the update twice.\" Networks fail; your API should assume they will.",[126,337,339],{"id":338},"_3-authentication-authorisation-and-security-foundations","3. Authentication, authorisation and security foundations",[37,341,342,344],{},[41,343,134],{}," If this system were breached tomorrow, what would be exposed — and would you know?",[37,346,347],{},"Security is the clearest case of a decision that cannot be retrofitted cheaply, because the cost of getting it wrong is not engineering time. It is customer data, trust and, depending on your market, regulatory exposure.",[37,349,350,351,354,355,358],{},"In the OWASP Top 10:2025, the most widely referenced ranking of web application security risks, ",[41,352,353],{},"Broken Access Control is ranked first",", and ",[41,356,357],{},"Authentication Failures"," are ranked seventh. These are not exotic attacks. They are the everyday consequences of security decisions made casually.",[37,360,236],{},[238,362,363,369,375,381],{},[241,364,365,368],{},[41,366,367],{},"Do not build authentication from scratch."," Use a proven identity provider or a mature, well-maintained library. Password storage, session handling, token expiry, account recovery and multi-factor authentication are solved problems that are easy to get subtly wrong.",[241,370,371,374],{},[41,372,373],{},"Enforce authorisation centrally."," Every request should pass through one consistent check of who the user is, which tenant they belong to and what they are allowed to do — not ad-hoc checks scattered through individual endpoints, where one forgotten check becomes a data leak.",[241,376,377,380],{},[41,378,379],{},"Keep secrets out of the code."," API keys and credentials belong in a secrets manager or environment configuration, never in the repository.",[241,382,383,386],{},[41,384,385],{},"Know what personal data you store and why."," If you have users in the EU, GDPR applies from your first user, not your ten-thousandth.",[126,388,390],{"id":389},"_4-the-foundations-that-make-scaling-possible","4. The foundations that make scaling possible",[37,392,393,395],{},[41,394,134],{}," When growth arrives, can you add capacity — or do you have to rebuild first?",[37,397,398],{},"An MVP should not be built for scale it does not have. It should be built so that scaling is an operational task rather than an architectural one. The difference is a small set of habits that cost little at the start:",[238,400,401,407,413,419,425],{},[241,402,403,406],{},[41,404,405],{},"Stateless application servers."," Keep session state and uploaded files out of the application server's memory and local disk, so that handling more traffic means running more instances.",[241,408,409,412],{},[41,410,411],{},"A background job queue."," Emails, exports, imports, and calls to slow third-party APIs should run outside the request cycle. Retrofitting this means touching every slow code path.",[241,414,415,418],{},[41,416,417],{},"Automated deployment."," A repeatable pipeline from commit to production, so that shipping a fix is routine rather than an event.",[241,420,421,424],{},[41,422,423],{},"Error tracking and basic monitoring."," You cannot fix what you cannot see. Users who hit errors in an MVP rarely report them — they leave.",[241,426,427,430],{},[41,428,429],{},"Backups that have actually been restored."," A backup that has never been tested is a hope, not a backup.",[37,432,433],{},"None of this is enterprise infrastructure. It is a few days of deliberate setup that keeps the system in Fowler's \"prudent debt\" quadrant instead of drifting into the reckless one.",[56,435,437],{"id":436},"the-cost-of-getting-it-backwards","The cost of getting it backwards",[37,439,440],{},"The failure pattern is consistent. An MVP is built with the wrong things cut: the features are polished, but the data model was improvised, authorisation was bolted on per endpoint, and nothing runs outside the request cycle. It works — for the first few hundred users. Then traction arrives, and with it the problems the shortcuts were hiding: tenants who can see each other's data, queries that slow to a crawl, a schema that cannot represent what the biggest new customer needs.",[37,442,443],{},"The exact number of users where this happens varies — 2,000 is a common enough point for the cracks to show, but the number matters less than the timing. It almost always arrives when the company can least afford to stop: right after a launch, a fundraise or a large customer win.",[37,445,446,447,450],{},"The ongoing cost of carrying that debt is well documented. In Stripe's 2018 ",[143,448,449],{},"Developer Coefficient"," study, conducted with Harris Poll among more than 1,000 developers and more than 1,000 C-level executives, developers estimated they spent an average of 13.5 hours a week on technical debt and a further 3.8 hours on bad code — 17.3 hours out of a 41.1-hour working week, or over 40% of their time.",[37,452,453,454,457],{},"The cost of escaping that debt through a full rewrite can be worse. In his 2000 essay ",[143,455,456],{},"Things You Should Never Do, Part I",", Joel Spolsky described Netscape's decision to rewrite its browser from scratch as \"the single worst strategic mistake that any software company can make.\" When he wrote it, Netscape's last major release had shipped almost three years earlier. As Spolsky put it, when you throw away working code, \"you are throwing away all that knowledge. All those collected bug fixes.\"",[37,459,460],{},"Getting the foundations right in the MVP is how you avoid having to choose between those two costs.",[56,462,464],{"id":463},"a-decision-test-you-can-use-in-every-planning-meeting","A decision test you can use in every planning meeting",[37,466,467],{},"In his 2015 letter to shareholders, Jeff Bezos distinguished between two types of decisions. Some are \"consequential and irreversible or nearly irreversible – one-way doors – and these decisions must be made methodically, carefully, slowly, with great deliberation and consultation.\" But most \"are changeable, reversible – they're two-way doors.\"",[37,469,470],{},"MVP scoping is the same distinction applied to software:",[238,472,473,479],{},[241,474,475,478],{},[41,476,477],{},"Two-way doors — cut freely:"," features, UI polish, internal tooling, most integrations, infrastructure capacity. Move fast and revisit with evidence.",[241,480,481,484],{},[41,482,483],{},"One-way doors — decide deliberately:"," the data model, tenancy, identifiers, the public API contract, authentication and authorisation, and how data is stored and protected. Slow down here, even in an MVP.",[37,486,487,488,491],{},"When a shortcut is proposed, ask one question: ",[143,489,490],{},"if this turns out to be wrong, is fixing it a code change — or a data migration, a breaking change for clients, or a security incident?"," The answer tells you which bucket it belongs in.",[56,493,495],{"id":494},"the-mvp-foundations-checklist","The MVP foundations checklist",[37,497,498],{},"Before your MVP takes its first real user, you should be able to tick every item on this list. Everything else can wait.",[238,500,501,504,507,510,513,516,519,522],{},[241,502,503],{},"The core entities and their relationships are modelled deliberately, including tenancy if you will ever sell to teams.",[241,505,506],{},"Identifiers are chosen with growth in mind, and money and timestamps are stored in precise, unambiguous types.",[241,508,509],{},"Database constraints enforce integrity, and every schema change is a version-controlled migration.",[241,511,512],{},"The API is versioned, paginated where it returns lists, consistent in its errors and independent of the database schema.",[241,514,515],{},"Operations that move money or create critical records are safely retryable.",[241,517,518],{},"Authentication uses a proven provider or library, and authorisation is enforced in one central place.",[241,520,521],{},"Secrets are outside the codebase, and you know what personal data you store.",[241,523,524],{},"Application servers are stateless, slow work runs in background jobs, deployments are automated, errors are tracked, and backups have been restored at least once.",[37,526,527,528,533],{},"If your MVP is already live and you are not sure how many of these boxes it ticks, that is a question a structured technical review answers quickly — the same domains we examine in our ",[529,530,532],"a",{"href":531},"\u002Fblog\u002Ftechnical-due-diligence-checklist","technical due diligence checklist",", applied to your own product before an investor applies them for you.",[56,535,537],{"id":536},"sources","Sources",[238,539,540,554,563,578,586,593,602,610,619,629,638],{},[241,541,542,543,549,550,553],{},"Eric Ries, ",[529,544,548],{"href":545,"rel":546},"https:\u002F\u002Fwww.startuplessonslearned.com\u002F2009\u002F08\u002Fminimum-viable-product-guide.html",[547],"nofollow","\"Minimum Viable Product: a guide\"",", ",[143,551,552],{},"Startup Lessons Learned",", 2009",[241,555,556,557,562],{},"CB Insights, ",[529,558,561],{"href":559,"rel":560},"https:\u002F\u002Fwww.cbinsights.com\u002Fresearch\u002Freport\u002Fstartup-failure-reasons-top\u002F",[547],"\"Why startups fail: Top reasons\"",", March 2026",[241,564,565,566,571,572,577],{},"Martin Fowler, ",[529,567,570],{"href":568,"rel":569},"https:\u002F\u002Fmartinfowler.com\u002Fbliki\u002FTechnicalDebt.html",[547],"\"Technical Debt\""," and ",[529,573,576],{"href":574,"rel":575},"https:\u002F\u002Fmartinfowler.com\u002Fbliki\u002FTechnicalDebtQuadrant.html",[547],"\"Technical Debt Quadrant\""," (2009)",[241,579,565,580,585],{},[529,581,584],{"href":582,"rel":583},"https:\u002F\u002Fmartinfowler.com\u002Fbliki\u002FMonolithFirst.html",[547],"\"MonolithFirst\"",", 2015",[241,587,588,589,592],{},"Donald E. Knuth, \"Structured Programming with go to Statements\", ",[143,590,591],{},"Computing Surveys",", 1974",[241,594,595,596,601],{},"Mike Krieger, ",[529,597,600],{"href":598,"rel":599},"https:\u002F\u002Fmedia.postgresql.org\u002Fsfpug\u002Finstagram_sfpug.pdf",[547],"\"Sharding @ Instagram\"",", SFPUG, April 2012",[241,603,604,605],{},"OWASP Foundation, ",[529,606,609],{"href":607,"rel":608},"https:\u002F\u002Ftop10.owasp.org\u002F2025\u002F",[547],"OWASP Top 10:2025",[241,611,612,613,618],{},"Stripe, ",[529,614,617],{"href":615,"rel":616},"https:\u002F\u002Fdocs.stripe.com\u002Fapi\u002Fidempotent_requests",[547],"\"Idempotent requests\"",", API reference",[241,620,612,621,628],{},[529,622,625],{"href":623,"rel":624},"https:\u002F\u002Fstripe.com\u002Ffiles\u002Freports\u002Fthe-developer-coefficient.pdf",[547],[143,626,627],{},"The Developer Coefficient",", September 2018",[241,630,631,632,637],{},"Joel Spolsky, ",[529,633,636],{"href":634,"rel":635},"https:\u002F\u002Fwww.joelonsoftware.com\u002F2000\u002F04\u002F06\u002Fthings-you-should-never-do-part-i\u002F",[547],"\"Things You Should Never Do, Part I\"",", 2000",[241,639,640,641,646],{},"Jeff Bezos, ",[529,642,645],{"href":643,"rel":644},"https:\u002F\u002Fwww.sec.gov\u002FArchives\u002Fedgar\u002Fdata\u002F1018724\u002F000119312516530910\u002Fd168744dex991.htm",[547],"2015 Letter to Shareholders",", Amazon.com, Inc.",[37,648,649],{},[143,650,651,652],{},"business2point builds MVPs that are narrow by design and sound by default — CTO-level architecture decisions from day one, so your first version can become your scaling version. ",[529,653,655],{"href":654},"\u002F#contact","Start the conversation →",{"title":657,"searchDepth":5,"depth":5,"links":658},"",[659,660,661,669,675,676,677,678],{"id":58,"depth":5,"text":59},{"id":89,"depth":5,"text":90},{"id":116,"depth":5,"text":117,"children":662},[663,665,666,667,668],{"id":128,"depth":664,"text":129},3,{"id":149,"depth":664,"text":150},{"id":164,"depth":664,"text":165},{"id":179,"depth":664,"text":180},{"id":205,"depth":664,"text":206},{"id":217,"depth":5,"text":218,"children":670},[671,672,673,674],{"id":224,"depth":664,"text":225},{"id":288,"depth":664,"text":289},{"id":338,"depth":664,"text":339},{"id":389,"depth":664,"text":390},{"id":436,"depth":5,"text":437},{"id":463,"depth":5,"text":464},{"id":494,"depth":5,"text":495},{"id":536,"depth":5,"text":537},"An MVP gives you permission to build narrowly, not badly. Here is exactly which corners are safe to cut in your first version — and which architecture decisions you must get right before your first users arrive.","md",{"date":4,"authorId":5,"category":6,"tags":7,"image":13,"readingTime":14,"published":15,"cluster":16,"post_type":17,"faq":18},"\u002Fblog\u002Fmvp-vs-scalable-architecture-what-to-cut-what-to-keep",{"title":32,"description":679},"blog\u002Fmvp-vs-scalable-architecture-what-to-cut-what-to-keep","uu7dsv8hgQMabRzSQ0DGhPT_nRomLM6WS9aF5iMtsoU",{"id":687,"title":688,"body":689,"description":719,"extension":680,"meta":720,"navigation":15,"path":721,"seo":722,"stem":723,"__hash__":724},"content\u002Fcategories.md","Blog Categories",{"type":34,"value":690,"toc":717},[691,694],[37,692,693],{},"categories:",[238,695,696,699,702,705,708,711,714],{},[241,697,698],{},"id: strategy\nname: Strategy\ndescription: Technology strategy, CTO insights, and executive decision-making\nslug: strategy",[241,700,701],{},"id: engineering\nname: Engineering\ndescription: Software architecture, development practices, and technical deep-dives\nslug: engineering",[241,703,704],{},"id: ai\nname: AI & Automation\ndescription: Artificial intelligence, machine learning, and automation solutions\nslug: ai-automation",[241,706,707],{},"id: leadership\nname: Leadership\ndescription: Team building, engineering culture, and technical leadership\nslug: leadership",[241,709,710],{},"id: product\nname: Product\ndescription: Product development, user experience, and market-fit strategies\nslug: product",[241,712,713],{},"id: transformation\nname: Transformation\ndescription: Digital transformation, modernization, and scaling operations\nslug: transformation",[241,715,716],{},"id: due-diligence\nname: Due Diligence\ndescription: Technical due diligence, investment assessments, and acquisition readiness\nslug: due-diligence",{"title":657,"searchDepth":5,"depth":5,"links":718},[],"Categories for organizing blog content",{},"\u002Fcategories",{"title":688,"description":719},"categories","PTtAcQU13Is9QzoHEK0lkMj7seW0AClsgsBLpnB7qFs",1791817076656]