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.

Get a AI-Native Development quote Boston overview

Engagement shape

From

$3,000

Flat price, quoted after 30-min call

Timeline

5–10 days

First production deploy

Senior engineer, named

Day 1

Code in your GitHub

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.

Boston's accelerator infrastructure is some of the deepest in the country — MassChallenge (equity-free, HQ'd here since 2009), Techstars Boston (the network's second-oldest program) and Greentown Labs in Somerville, which still houses about 125 climate-tech startups. Early-stage capital comes from General Catalyst, NextView Ventures, Pillar VC and Flybridge. The Massachusetts biopharma sector alone raised $6.85B across 197 rounds in 2025 — 26.2% of all national biopharma VC, second only to California — and for the second year running, the city of Boston itself out-raised Cambridge, with 71% of funding going to companies outside the MIT/Harvard core. Harvard Innovation Labs has backed 6,500+ ventures that have collectively raised more than $9B, including WHOOP and Rapid SOS. That academic pipeline is exactly why ML and biotech engineers here are priced against research-lab and biopharma offers most seed-stage budgets can't touch.

Boston's biopharma comeback accelerated hard in 2026: Massachusetts biopharma companies raised $3.45B in VC in the first half of the year alone, up 25% year-over-year and the strongest opening half since 2023, and eight Massachusetts biopharma companies went public in that same half — matching the combined 2024-and-2025 total. On the software side, Underscore VC runs a $140M fund exclusively for earliest-stage companies based in or moving to Boston, while MassRobotics just picked its second accelerator cohort — 10 startups out of 130+ applicants, each getting a $100K non-dilutive grant. Local employers are hiring into this too: Klaviyo, headquartered in the Seaport, posted 46.5% more job listings in 2026 than the year before. Good news if you're trying to build a network here — expensive news if you're trying to hire against it.

Biotech tools and Robotics is where Boston's founders actually are, and it's why ai-native development is one of the builds we ship here on repeat.

Hiring one senior engineer here is a ~$290K year-one outlay and a 60–90 day search. Our ai-native development engagement starts at $3,000 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

--:--:--

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

Biotech toolsRoboticsB2B SaaSHealthtechClimate tech

Stack we use

Claude CodeCursorTypeScriptNext.jsCI-gated evals

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

We're the team founders call when AI-native went wrong (see Vibe Code Rescue) — we know exactly which shortcuts not to take

Agentic tooling used transparently, with a senior engineer as the architecture and security backstop, not a rubber stamp

Evals and CI gates from day one, not bolted on after the first production incident

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?

Most builds begin within seven days of the first call. We don't sell discovery — we go from problem statement to first deploy on the same day-one timeline.

Is the price really flat?

Yes. After a 30-minute call we send a single number and a scope you can accept or reject. No hourly billing, no change-order games. If we underestimate, we eat it.

Isn't this just vibe coding with extra steps?

No — the difference is who owns architecture and review. Vibe coding means accepting whatever the agent outputs. AI-native means the agent drafts, a senior engineer decides the data model, auth boundaries, and what actually ships, with evals as a CI gate instead of a vibe check.

Which tools do you use?

Claude Code as the primary driver for most of the codebase, with Cursor for targeted work when it fits better. Tool choice adapts to the codebase — what doesn't change is that architecture and code review stay human.

Who owns the code?

You do, from commit one. The repository is created in your GitHub org. Infrastructure is provisioned in your cloud account. We don't host your stack on ours and we don't lock you in.

More questions → /faq/ai · /faq/tech-stack · /faq/team

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