AI-Native Development · Boston
AI-Native Development
in Boston
Agentic tooling as the primary build method. Architecture and review stay human.
We build for founders in Boston using agentic tools — Claude Code as the primary driver — as the actual engineering method, not a demo trick. The difference from vibe coding: architecture, data model, and security boundaries are decided by a senior engineer, evals run as a CI gate instead of a vibe check, and every commit gets reviewed for the failure modes AI-generated code tends to ship. We're also the team founders call to fix the codebases that skipped this discipline — see Vibe Code Rescue.
Engagement shape
From
$6,000
Flat price, quoted after 30-min call
Timeline
5–10 days
First production deploy
1
Senior engineer, named
Day 1
Code in your GitHub
$0
Retainer, equity, lock-in
How this works
One AI-native engineer.
The output of a team.
One senior engineer plus AI agents now ships ai-native development that used to need a four-person team. Same code quality, half the cost, three-week timelines instead of three months. Built for pre-seed to Series A founders in Boston who need to ship before the next round closes.
The local read
Why ai-native development is hard in Boston
Boston founders have access to the best deep-tech talent in the country and almost none of it is hireable at seed stage. Biotechs pay above market for ML engineers. Cambridge robotics shops pay close to that for ROS 2 specialists. The local agency option is mostly enterprise consulting with multi-quarter contracts.
We're not enterprise consulting. One senior engineer owns the build, Eastern Time, overlap with your MIT advisors and Boston-based investors. FHIR or HL7 for healthtech. PyTorch and Hugging Face for ML features. Next.js for the SaaS layer. Flat-price quote in 24 hours. Code in your GitHub from commit one.
Hiring one senior engineer here is a ~$290K year-one outlay and a 60–90 day search. Our ai-native development engagement starts at $6,000 with a first deploy in 5–10 days.
Did you know · Boston
Boston has more universities per square mile than any other US city — 50+ in the metro area.
Time zone
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ET
Eastern Time. Overlap with you, your investors at General Catalyst and NEA Boston, and the academic calendar that affects half your hires.
Sectors in Boston
Stack we use
What you actually get
Concrete deliverables.
Live in 5–10 days.
No discovery phase that bills for itself. No Figma-only delivery. Every item below is something you can open, click, and ship to a user.
Scoped build (feature, internal tool, or MVP slice) shipped via agentic-driven implementation, human-reviewed every commit
Architecture, data model, and auth boundaries decided by the engineer — never delegated to the agent
Evals and automated checks as a CI gate, so AI-authored code can't regress silently
Full commit history — you see what was agent-drafted versus hand-written, not one opaque squash commit
Code review pass specifically hunting the failure modes AI-generated code tends to ship
Why us
Why founders in Boston pick us for this
01
We're the team founders call when AI-native went wrong (see Vibe Code Rescue) — we know exactly which shortcuts not to take
02
Agentic tooling used transparently, with a senior engineer as the architecture and security backstop, not a rubber stamp
03
Evals and CI gates from day one, not bolted on after the first production incident
04
Same flat-price, your-code-from-commit-one terms as every other engagement — no markup for the tooling
FAQ
Common questions about ai-native development
in Boston
How fast can you start?
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Is the price really flat?
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Isn't this just vibe coding with extra steps?
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Which tools do you use?
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Who owns the code?
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Got a question about ai-native development in Boston?
Ask me anything.
Right now.
Real chat. Real answers from our FAQ. If I don't have a clean match, I'll email you back within a day.
Valery Satsura
CEO · Start Matter · usually replies in minutes
Hey, I'm Valery. Ask me anything about working with us from Boston.
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Ready when you are
Ship ai-native development in Boston
in 5–10 days.
30-minute call → flat-price quote in 24 hours → first deploy inside two weeks.