Custom software for San Jose — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Silicon Valley operators — semiconductor companies, enterprise SaaS, and AI-first teams — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
San Jose is the heart of Silicon Valley — the country's densest concentration of enterprise SaaS, semiconductors, infrastructure, and AI engineering, and the most competitive market to hire senior talent in. Pay is top-of-band, equity-heavy, and hires take six-to-nine months when they don't choose a competing offer. AI changes the math, but only when senior people own the parts AI gets wrong.
On a South Bay enterprise SaaS, semiconductor, or AI build, AI handles the repetitive 70% — scaffolding, schemas, dashboards, CRUD, glue. The 30% AI gets wrong is the part your platform team will catch on the first PR: scale assumptions copied from a hyperscaler talk but wrong for your stage, RBAC edges that fail in a multi-region rollout, agent loops with no upper bound, and migrations that look fine until they hit a Fortune-500 customer's data. Raw AI output writes those bugs cleanly.
We build for South Bay operators — semiconductor companies digitizing operations and supply chain, enterprise SaaS teams scaling for mid-market and Fortune 500 buyers, post-Series-B platforms paying down tech debt, and modernization projects on legacy enterprise stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security, 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: agent loop with no upper bound on tool calls → bounded depth + cost ceiling + replay test// ✓ merged: explicit region pinning on multi-region migration, RBAC test matrix on every protected endpointOn a South Bay enterprise SaaS or AI build, the failure modes are unbounded agent loops, multi-region drift, and RBAC edge cases. Senior review catches them before a Fortune-500 customer or your platform team does.
What we build for San Jose companies.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
Fintech & payments platforms
Customer-facing apps, ledgers, and risk pipelines for regulated, data-heavy products.
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 in Pacific Time who own architecture, scale assumptions, and code quality at your platform-team bar — fitting into a Santa Clara enterprise standup, a Sunnyvale infra review, or a Cupertino product PR — not a junior pool with raw AI output bolted on.
From Santa Clara to Sunnyvale to Cupertino, senior engineers are top-of-band, equity-rich, and constantly being recruited by the next AI startup or hyperscaler team. An AI-native team gets you shipping this week, ramps monthly, and doesn't add an FTE to your South Bay office.
Talk to an engineerTraditional San Jose 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 San Jose teams.
Do you work with San Jose companies?
Can you work with our existing platform / SRE team?
Can you operate at our platform team's bar?
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 — San Jose.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.