Founders choosing how to build an MVP
Compare Lovable, no-code, and agency quotes with honest trade-offs.
Strategy & Context
Tech Stack Advisory
Pick the right stack before you pay for the wrong one. Practical guidance on Lovable, AI tooling, and integrations, grounded in hands-on production builds.
Capability
Strategy & Context
Primary outcome
Pick the right stack before you pay for the wrong one.
Delivery
Strategy through execution
In short
What this capability does
Tech stack advisory helps you decide between Lovable, no-code tools, and custom development based on your use case, budget, and ownership needs. Cantellis gives practical advice from real production builds on Lovable, including when Lovable is not the right fit.
Our point of view
The best stack is the one you can own.
The stack conversation has changed. Five years ago the choice was between expensive custom development and limited no-code tools. Today AI-native builders like Lovable sit in the middle, producing real code and real databases at a fraction of the cost. That makes the decision more interesting, and easier to get wrong in both directions.
We see two common failures. Some teams overbuild, paying a dev shop for months of work that Lovable could deliver in weeks. Others underbuild, pushing a prototype into production without data security, testing, or a plan for scale. Good advice names both risks honestly.
Our recommendations are grounded in building, not slide decks. When there is uncertainty, we prototype the risky part first. A two-day spike answers more than a two-week evaluation, and it gives you something real to judge.
Critical signals
You likely need this if
- 01
Dev quotes differ by five times or more
- 02
You are unsure if Lovable can handle your use case
- 03
Your prototype works but feels fragile
- 04
Monthly tool costs keep creeping up
The problem
What this solves
We turn the underlying constraint into a focused body of work, rather than treating surface symptoms in isolation.
- 01
Unsure whether Lovable can handle your use case.
- 02
Quotes from dev shops vary wildly.
- 03
Tool sprawl is creating hidden costs.
Common use cases
Where this capability earns its place.
Teams stuck on a fragile prototype
Decide whether to harden, refactor, or rebuild.
Companies with tool sprawl
Consolidate overlapping tools and reduce running costs.
What you get
Deliverables
- Stack recommendation with trade-offs
- Build vs buy assessment
- Cost and ownership model
- Migration or rollout plan
How it runs
Our approach
01
Requirements
Clarify users, data, integrations, scale, and compliance needs.
02
Options
Compare realistic stacks, including Lovable and custom code.
03
Cost model
Estimate build, subscription, hosting, and maintenance costs.
04
Plan
Recommend a path with a rollout or migration plan you own.
Lovable and Claude
Excellence at speed
AI is the accelerator, not the product. One operator keeps strategy, build quality, and business context connected.
- 01
Recommendations are tested by building a small spike in Lovable before you commit.
- 02
Claude reviews existing code and documentation to spot risks quickly.
- 03
Honest limits are stated up front, so you do not overbuild or underbuild.
Expertise and outcomes
Capability that changes the work.
Our expertise
- Two years of daily production work on Lovable
- Full-stack architecture, auth, and integrations
- AI tooling and LLM integration
Expected outcomes
- A confident build decision
- A realistic total cost of ownership
- No lock-in to a stack you cannot maintain
What we see go wrong
Common mistakes to avoid.
Choosing by hype
The newest tool is not automatically the right one for your data, users, or team.
Ignoring running costs
Subscriptions, hosting, and maintenance often exceed the build cost within two years.
Forgetting ownership
If you cannot export your code and data, you are renting your product.
Skipping security review
Fast builds still need access rules, secrets handling, and backups.
Measurement
How we measure success
- Total cost of ownership
- Build plus two years of running costs
- Time to first release
- Weeks to something users can touch
- Ownership
- Code, data, and accounts in your name
- Change cost
- Effort to ship the next feature
Questions
FAQ
- Is Lovable good enough for production?
- For many web apps, internal tools, and SaaS products, yes, when built with proper data, auth, and testing. We will tell you when it is not.
- Do you sell a stack?
- No. Advice is independent. If custom code is better for you, we say so.
- Who does the tech stack advisory work?
- The operator who scopes the work does the work. No hand-offs to junior teams.
- Do we own everything?
- Yes. Code, content, accounts, and data stay yours with zero agency lock-in.
- How do we start?
- Send a short brief or build a quick POC. We reply with a recommended next step.
Keep reading
Related guides
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Should you build your SaaS with Lovable or hire developers?
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What is Lovable AI app development? A practical guide
Lovable AI app development explained: how the platform works, what it builds well, where human judgment still decides the outcome, and how projects reach production.
Read guideProof, not promises
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What needs to move?
Send a short brief. The person who reads it is the person who will do the work.
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