What AI does
- First drafts of code and tests
- Boilerplate, scaffolding, and migrations
- Documentation and repetitive refactors
- Hunting for bugs and edge cases at scale
How we build
AI speed.
Engineering standards.
We use AI heavily and openly to build faster and cost less. What we never hand over to it: architecture, security, and the final say on every line that ships.
01Who does what
AI does the heavy lifting.
Engineers make the calls.
Every project pairs engineers with frontier AI tooling: Claude and the modern coding stack around it. The split is deliberate, and it never changes.
What our engineers own
- Architecture and stack decisions
- Business logic and the edge cases that matter
- Security review and dependency vetting
- Every merge: nothing ships unreviewed
We don't replace engineers with AI. We give engineers leverage, and you get the hours back as shorter timelines and smaller invoices.
02Straight talk
This is not
vibe coding.
"Vibe coding," accepting whatever the AI writes and shipping it, is how you get software that demos well and falls apart in production. Independent audits have found nearly half of unreviewed AI-generated code contains serious security flaws. Which is exactly why nothing we build merges without an engineer's review.
What changed
- Timelines: routine work moves up to twice as fast
- Budgets: saved hours come off your quote, not into our margin
- Iteration: you see working software in days, not months
What didn't
- Code review on every line
- Automated tests and CI/CD
- Monitoring and alerting in production
- Security practices and dependency vetting
- A human accountable for every decision
And where AI doesn't help, on novel and complex problems, we don't pretend it does. That work still gets senior-engineer time, the old-fashioned way.
03Accountability
Bugs are inevitable.
Abandonment isn't.
A million-dollar engineering team still ships bugs, every team does. The difference is who owns them afterward. Every NorthStack engagement includes a monthly care plan, and the care fee exists for one reason: when something breaks, it's ours to fix. No hourly surprise, no ticket queue, no "that'll be a change order."
It runs deeper than the care plan. Two of our three engagement models only pay us if the software keeps working. Zero-upfront and revenue-share builds make walking away financially impossible for us. Our business model is the warranty.
See the engagement models →04Questions
Fair questions,
straight answers.
Is this "vibe coding"?
No. Vibe coding means accepting whatever the AI writes without review and fixing problems by re-prompting. Here, AI writes drafts; an engineer reviews every line before it merges, the same way good teams have reviewed code for decades. AI removed the slow typing, not the engineering.
Who owns the code?
That depends on the engagement model you pick, not on how the code was written. On a Classic Build it's yours from day one. The output of the AI tools we use carries no strings attached. It's standard code, fully assignable to you.
Is my data or code used to train AI models?
No. We work on API and enterprise tiers with contractual no-training guarantees: your code and data are processed to do the work, never retained to train anyone's model. We're happy to sign an NDA and walk you through the specific tool policies.
Isn't AI-generated code insecure?
Unreviewed, it often is. That's exactly the failure mode our process is built against. Everything we ship goes through senior-engineer review, automated scanning, and dependency verification before it reaches production.
Could another team maintain it later?
Yes. We enforce one architecture, consistent naming, tests, and documentation no matter who or what wrote the first draft. Any competent team can take over, and there's no proprietary platform underneath. No lock-in is part of the deal.
What happens if the AI tools disappear?
Nothing, for you. The output is plain, standard code, with no runtime dependency on any AI vendor. The tools affect our speed while building, not your product after launch.
How much faster and cheaper, really?
Routine work, like interfaces, integrations, tests, and plumbing, often moves about twice as fast. Novel problems still take senior-engineer time, and we won't pretend otherwise. The net effect across a real project: meaningfully shorter timelines, and a quote that reflects them.
05Start here
Tell us where you are.
We'll map the build.
Pick what fits. It takes ten seconds. We'll come back with a free analysis: how we'd build it, what we'd use, and what it costs to run.
Get your free build analysis
Free, thirty minutes, no obligation. We'll tell you if it isn't worth building.