AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data roomsCustom software for Seattle — 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 shipping the fragile, unreviewed code that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
In a market like Seattle — where senior engineering talent is scarce and expensive — the old build-from-scratch model is slow and costly. AI changes the math, but only if it's used by people who know where it breaks.
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.
Our model is simple: AI handles the volume, a senior engineer owns the judgment. You get the speed and cost advantage of AI-native development with the reliability of a team that has shipped and supported real production systems.
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: unparameterized SQL query → fixed + test added// ✓ merged: input validation, error states, CI greenThe mixed reputation of AI-built software comes from shipping unreviewed output. We don't — and the difference shows up in production.
What we build for Seattle 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.
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.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
MVPs & prototypes
Validate an idea with a real, deployed product in weeks, not quarters.
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 your timezone and integrate with your tools and cadence.
When Seattle hiring is slow and a full-time senior hire is six figures and months away, an AI-native team gets you shipping now and scales up or down as your roadmap shifts.
Talk to an engineerTraditional Seattle 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 Seattle teams.
Do you have people in Seattle?
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
Seattle teams usually need more than one kind of build. These are the practices behind the work above.
Let's build it — Seattle.
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.