AI-native
AI writes the first draft. An engineer signs off every change.
AI-native means two things here. AI is in how we build: it drafts code, tests and reviews, so a small senior team ships faster. And AI is in what we build: agents and copilots that do real work inside your product. Neither replaces the engineer who scoped your build and answers for it in production.
In the workflow
Where AI sits in a build
Scope
AI turns your notes and call into a first feature list. We cut it down to the core flow and agree it in writing before any code.
Code
AI drafts components, migrations and the repetitive parts. An engineer reads and edits every diff before it merges.
Tests
AI writes the first pass of tests for sign-up, checkout and the core action. We add the cases it misses: webhook retries, double clicks, expired sessions.
Review
AI review runs on every pull request and flags the obvious. A person decides what merges, and the deploy gate does not open on red tests.
What AI does not do here
The parts a person always owns
AI does not choose the architecture, the data model or what to cut. It does not write payments, sign-in or data-access rules that ship without a person writing and reviewing the change, because those are the places a mistake costs you money or your customers' data.
We run App Rescue, so we see what happens when nobody reads the generated code: payments that never reach the database, data-access rules left open, sign-in that breaks on the second device. Veracode's 2025 report found security flaws in 45% of the AI-generated code it tested.
AI does not make a team faster by default either. METR found in 2025 that experienced developers took 19% longer with AI tools while believing they were about 20% faster. So we measure speed by what ships, not by how fast it feels.
Both studies are linked, with the rest of our sources, on the engineering standards page.
In the product
What we build with AI inside
Custom AI agents
Agents that read a request, decide the next step and act in your tools: support, operations, finance, documents, enquiries.
Agentic workflows
Multi-step jobs where an agent handles the judgement and ordinary, tested code does the execution, inside permissions you set.
Copilots in your software
Your team asks questions of your own docs, tickets and records in plain language, with answers limited to what each person may see.
AI in an app you already have
Search, summaries, document extraction and drafting added to an existing product, without a rebuild.
Every agent we ship
The guardrails are part of the build, not an extra
- It says it is an AI, and hands over to a person when it is unsure.
- It acts only within the permissions you set. Anything that moves money or deletes data needs approval.
- Every tool call and decision is logged where your team can read it.
- It is tested against a set of real past cases before launch, and again after every change.
- Monthly cost and response-time limits, with alerts.
- The code, model keys and logs sit in your accounts from day one.
A test you can run on anyone
Three questions for any studio that says AI-native
- Who reads the AI's code before it merges, and can I see the pull requests?
- Show me the tests on sign-up and checkout. What happens when a payment webhook arrives twice?
- Do I own the repository, hosting and model accounts from day one, or on final payment?
Questions, answered
Is "AI-native" just a label?
It can be. Ask the three questions above. For us it means AI drafts and a named engineer decides, and that we build AI agents into products as a core service, not an add-on.
Is my code written by AI?
Parts of it are drafted by AI. Every change is read, edited and merged by an engineer, payments and sign-in are written by a person, and you own all of it from day one.
Does AI make the build cheaper?
It lets a small senior team hold fixed prices: a clearly scoped Production MVP is $3,999. The time AI saves goes into tests and the parts that break in production, not into a bigger team.
Can you add AI agents to an app we already have?
Yes. We connect to your existing tools through their APIs. If the app itself is not ready, the free 48-hour App Rescue verdict says so first.