Custom software for Chandler — 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.
Chandler anchors the semiconductor heart of the Phoenix metro — home to Intel's Ocotillo fabs and a deep semiconductor-supplier and technology ecosystem, plus a growing fintech and B2B SaaS scene. Senior hires are six figures, months out, and picked over by semiconductor employers, fintech firms, and the venture-backed challengers around them. 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 Chandler operators — semiconductor supply-chain and operations tools, manufacturing and shop-floor apps, fintech and payments platforms scaling toward compliance, B2B SaaS shipping into mid-market and enterprise 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: concurrent fab-floor write without atomic update → CAS + retry + concurrent-write test// ✓ merged: ordered-event reconstruction for late supply-chain events, idempotent payment webhookOn a Chandler semiconductor or fintech build, the failure modes are concurrent-write races on fab-adjacent systems, late supply-chain events, and non-idempotent payment handlers. Senior review catches them before a fab-floor escalation or a QSA does.
What we build for Chandler companies.
MES, IIoT & production software
Shop-floor systems, plant analytics, and supplier portals that connect old machines to new tools.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
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.
Web apps & portals
Fast, custom applications and customer portals on a modern stack.
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 Mountain Time and integrate with your tools and cadence.
Chandler's senior engineers are pulled into the Phoenix-metro semiconductor build-out and the relocation rotation — three-to-six months to hire and constantly recruited by competitors. An AI-native team gets you shipping this week, flexes monthly, and doesn't compete for the same Ocotillo-area candidates.
Talk to an engineerTraditional Chandler 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 Chandler teams.
Do you work with Chandler companies?
Do you work with semiconductor supply-chain and fab-adjacent systems?
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 — Chandler.
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.