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Secure AI virtual data roomsCustom 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?
More from DEV.co
Chandler teams usually need more than one kind of build. These are the practices behind the work above.
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.