Custom software for Chula Vista — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to design, build, and ship custom software far faster than a traditional shop — without the fragile, unreviewed code that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Chula Vista anchors the south end of the San Diego metro — close enough to the border for deep cross-border business activity, with a fast-growing healthcare, logistics, and B2B SaaS scene. Senior hires are six figures, months out, and picked over by San Diego employers and a steady remote pull from coastal markets. AI changes the math, but only when senior people own the parts AI gets wrong.
AI is genuinely good at the repetitive 70% of software work: scaffolding, boilerplate, CRUD, first-draft UI, test stubs, glue code. It is dangerously unreliable at the other 30%: architecture, security, edge cases, and knowing when its own output is wrong. Teams that ship raw AI code learn this in production.
We build for Chula Vista and south-SD operators — cross-border and bilingual commerce platforms, logistics and trade tools, B2B SaaS shipping into mid-market buyers, and modernization of decades-old enterprise stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: currency conversion using floats on a cross-border settlement → minor-unit integers + boundary test// ✓ merged: locale-correct UI strings, idempotent tracking webhook handlerOn a Chula Vista cross-border or logistics build, the failure modes are float-math on money, locale bugs that surface in production, and non-idempotent webhooks. Senior review catches them before a customer or a regulator does.
What we build for Chula Vista companies.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
eCommerce & marketplaces
Storefronts, marketplaces, and merchant tools built for conversion and scale.
Supply-chain & ops platforms
Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers who own architecture and quality — not a junior pool with raw AI output bolted on. We communicate in Pacific Time and integrate with your tools and cadence.
Chula Vista's senior engineering pool is mostly an extension of San Diego's — three-to-six months to hire and steadily pulled into remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need an office in the South Bay.
Talk to an engineerTraditional Chula Vista dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Chula Vista teams.
Do you work with Chula Vista companies?
Do you build for cross-border and bilingual products?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
Let's build it — Chula Vista.
Tell us what you're trying to ship. We'll give you an honest recommendation, a timeline, and a fixed quote — and tell you if AI-native is the right fit or not.