Build cheap with AI, then test properly
Building with AI cut the cost of a working product by an order of magnitude. Adding a proper security and QA test puts back a small fraction of that saving and removes most of the risk that came with it.
An app built with AI tools plus a proper security and QA test typically costs a small fraction of the same app built conventionally. The build is subscriptions and your time. The test is $2,000 to $12,000 CAD, once. A conventional build of a comparable first version runs to tens of thousands of dollars at contract rates. The test is the cheapest way to keep the saving without inheriting the risk.
The arithmetic, with the working shown
These are illustrations built from rates, not survey results. Substitute your own numbers.
| Line | Conventional build | AI build plus a test |
|---|---|---|
| Development | 400 to 1,000 hours at $100 to $175 an hour | AI tool plans, often US$20 to US$50 a month each at entry tiers |
| Development, in dollars | $40,000 to $175,000 | Under $1,000 in tools for a few months |
| Your own time | Managing the build | Building it, usually weeks |
| Security and QA test | Often skipped or bundled | $2,000 to $12,000 |
| First version, all in | $40,000 to $175,000 | $3,000 to $13,000 plus your time |
Contract developer rates and AI tool pricing change. Check the current plan prices on each vendor's site; the order of magnitude is the point, not the exact figure.
What you skipped, and what you did not
The AI tool replaced the typing, most of the architecture decisions and a lot of the debugging. It did not replace the senior engineer who would have asked "and what stops someone else reading this record?" That question is the part of a conventional team you still need. A test is the cheapest way to buy it: a few days of someone whose job is to ask exactly that, on your specific app.
The cost of skipping the test
The risks are not fixed-cost problems. A data exposure in an app that holds personal information triggers breach duties under PIPEDA, notification of the people affected, a report to the Privacy Commissioner where there is a real risk of significant harm, and 24 months of breach records. A logic bug in checkout is refunds and chargebacks. An authorization gap found by your first enterprise prospect's security team loses the deal. None of these are priced in advance, and all of them cost more than the test. See who is liable if an AI-built app is breached.
When the test says rebuild
Sometimes a test finds that the foundation is wrong: no tenant separation in the data model, secrets baked into the client, an authorization model that cannot be patched. That is still the cheap outcome, because you learned it before customers moved in. How to tell a patch from a rebuild is on rewrite or patch.
How to buy the test well
- Run the launch checklist yourself first. Free, and it clears the obvious.
- Price the scope with the cost estimator so you know what a fair quote looks like.
- Get two or three quotes on the same written scope.
- Ask each firm the questions to ask a testing firm.
- Fix with your AI tool, and make sure a retest is included.
TrazTech's version of this is vibe-coding QA and security review, built on exactly this argument: keep the AI build, pay for the part AI cannot do.
Keep the saving, lose the risk
Tell us what you built. You get a scope and a price before committing.
Get matchedCommon questions
Is vibe coding cheaper even after testing?
For a first version of a small app, yes, by a wide margin. The test is a one-time cost measured in thousands. A conventional build of the same scope is measured in tens of thousands.
Will I need a developer eventually?
Often, once the product has paying customers and a roadmap. Many founders hire one after the first version proves demand, which is the right order.
What if I cannot afford a test yet?
Do not hold real personal information or take payments until you can. Use the free pre-launch security checklist meanwhile.