Custom software for Portland — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Portland's SaaS, sportswear, and open-source operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Portland hosts a strong SaaS, sportswear, and open-source engineering scene — anchored by Nike, Intel's Hillsboro footprint, and a long bench of senior infrastructure and front-end engineers. Senior hires are six figures, months out, and picked over by the marquee employers and a steady pull from remote coastal roles. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Portland SaaS, eCommerce, or AI build, AI handles the repetitive 70% — first-draft UI, CRUD, scaffolding, glue. The 30% AI gets wrong is the part your platform team will catch on the first PR: design-system regressions, accessibility regressions, infra patterns copied from a hyperscaler talk but wrong for your stage, and dependency hygiene that goes sideways when an open-source upstream changes. Raw AI output ships those silently.
We build for Portland operators — Series-A SaaS founders shipping toward PMF, growth-stage platforms paying down design-system debt, sportswear and DTC commerce teams scaling for peak, and modernization of OSS-heavy 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: design-system component bypassed for a one-off implementation → component re-used + a11y test added// ✓ merged: dependency-pin upgrade with breaking-change check, server-side render-safe accessibility patternsOn a Portland SaaS or commerce build, the failure modes are silent design-system drift, accessibility regressions, and open-source upgrades that break under load. Senior review catches them before a Lighthouse score or a customer screenshot does.
What we build for Portland companies.
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.
eCommerce & marketplaces
Storefronts, marketplaces, and merchant tools built for conversion and scale.
MVPs & prototypes
Validate an idea with a real, deployed product in weeks, not quarters.
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, accessibility, and OSS-savvy quality — fitting into a Pearl District startup, a Beaverton sportswear team, or a Hillsboro platform standup — not a junior pool with raw AI output bolted on.
Portland's senior engineering pool is split between Nike, Intel, and the venture-backed SaaS bench — and steadily pulled into remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need a Pearl District office lease.
Talk to an engineerTraditional Portland 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 Portland teams.
Do you work with Portland companies?
Do you work with design systems and accessibility?
Can you keep up with an OSS-heavy stack?
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 — Portland.
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.