Bootstrapped founders
You need an MVP that scales into a real product without hiring a CTO-level engineer on day one. The product matters more than the title chart.
AI-Assisted Development
Ship modern software without a full team’s budget
Senior engineers paired with AI coding tools — Claude Code, Cursor, Copilot — to ship production software 3× faster and at a fraction of agency cost. Human judgment stays in control. The AI writes the code. We write the product.
— client logo strip (asset task) —
The AI writes the code. We write the product.
Experienced engineers drive the process. AI handles the typing. You get production software in weeks, not quarters — at a price point that used to require either a scrappy co-founder engineer or a six-figure retainer.
What AI-assisted development actually means
Generic AI tools won’t ship your product. They don’t know your users, your data model, or your deployment target. Somebody has to do the thinking — break the work into tasks, judge quality, fix what the machine gets wrong, ship to production, talk to the first customers.
That’s where we come in. AI-assisted development, the way NerdHeadz practices it, means experienced engineers drive the process while AI handles the typing. We architect the system, review every piece of generated code, own the deployment, and ship. The AI accelerates the work. It doesn’t replace the engineering.
The output: modern, production-grade software at a pace and price point that used to require either a scrappy co-founder engineer or a six-figure retainer. Neither is most founders’ reality.
How AI-assisted compares to the alternatives
Four real options when you need a product shipped. Here’s the honest trade-off table.
No-code (Bubble, Webflow)
Hire an engineer
Traditional agency
AI-assisted (NerdHeadz)
Time to MVP
2–4 weeks
3–6 months (incl. hiring)
8–16 weeks
4–8 weeks
Typical cost
$5k–$15k + ~$400/mo subs
$120k+/yr salary
$80k–$200k
$15k–$80k fixed
You own the code
✕ Locked in
✓
✓
✓
Scales past 1k users
Brittle
✓
✓
✓
Replaceable by any engineer
✕
Bus-factor of 1
✓
✓
Hidden ongoing cost
Subscription stack
Salary + equity
Retainer
None — you own it
Best for
Marketing sites, prototypes
Long-term in-house product
Enterprise budgets
Real products on bootstrapped budgets
Most of our clients have tried at least one of the other three before they call us. The most common path: started in no-code, outgrew it, can’t afford a $200k agency rebuild and can’t wait six months to hire. That’s the gap this service fills.
Who this is for
Non-technical founders
You want to own your codebase and not be locked into a no-code platform. You’ve heard the no-code horror stories and want real software.
Small teams that outgrew no-code
Bubble, Glide, Webflow, Airtable — you shipped something, found users, hit the platform ceiling. Now you need real engineering.
Operators inside larger companies
Skunkworks projects that need to move faster than IT can approve a vendor. You need a real product without the procurement runway.
If you’ve ever said “I’d hire an engineer but I can’t afford one for six months” — this is the service.
What we build with AI-assisted development
MVPs that outlast the MVP stage
Production infrastructure, not demo-ware. Real authentication, real databases, real deployment.
Stack: Next.js, Payload CMS, TypeScript, PostgreSQL or MongoDB.
Internal tools and dashboards
Admin panels, data pipelines, ops software. The work that runs the business but doesn’t justify a full dev hire.
Stack: Next.js, Payload CMS, TypeScript, PostgreSQL or MongoDB.
Client-facing apps
Marketplaces, SaaS products, customer portals. The kind of build that would normally cost $80k+ from a traditional agency.
Stack: Next.js, React Native, TypeScript, PostgreSQL or MongoDB.
Legacy migrations
Bubble apps that outgrew the platform. Webflow sites that need custom backends. Lovable or v0 prototypes ready for production. We rebuild on modern infrastructure at AI-assisted speed.
Stack: Next.js, Payload CMS, TypeScript, PostgreSQL or MongoDB.
How the engagement works
Most projects fit cleanly into one of two commercial shapes.
01 · ENGAGEMENTMilestone billing
Fixed-price for known scope
If you can describe the product, we scope and price it. Typical projects: 4–12 weeks, $15k–$80k. Cheaper than a traditional agency because AI shortens the build, not because we cut corners.
CadenceMilestone billing
Best forDescribable scope — flows, data model, integrations
02 · ENGAGEMENTHourly, disclosed upfront
Time-and-materials for ambiguous scope
If scope evolves mid-build, new work moves to T&M. Hourly rates disclosed upfront. You see time logs. We don’t play games with hours.
CadenceHourly, disclosed upfront
Best forScope that evolves mid-build (it usually does)
Most real projects start fixed-price for the known scope and shift to T&M as new requirements emerge. That’s the model.
The four-phase build
1
Scope
3–7 daysAsync discovery, then one call. We come back with a scope doc, a tech-stack recommendation, and a fixed-price quote (or T&M estimate if scope is too ambiguous to fix).
2
Spec
3–5 daysUser flows, data model, integration list. The spec is where most “bugs” actually live; we spend the time here so we don’t pay for it later.
3
Build
3–10 weeksSenior engineers driving Claude Code, Cursor, and Copilot through the work. Daily commits visible in your repo. Weekly check-ins, not status theater.
4
Ship & handoff
3–7 daysProduction deployment, runbooks, monitoring. Documentation any engineer can read. Optional retainer for post-launch work.
Scope → ship4–12 weeks
The AI tools we use daily
We’re not tool-agnostic out of false neutrality. We have opinions because we use these tools every day on production work.
Claude Code
Primary driver. Agentic, handles multi-file refactors, reads the whole codebase. We run it in production terminals.
Where: most production builds.
Cursor
Tight feedback loops on individual files. Fastest autocomplete for known languages.
Where: per-file work, frontend polish.
GitHub Copilot
Background assist, inline suggestions. Works well alongside Claude Code.
Where: every editor session, low-friction.
Windsurf
Agent-style builds where we want the AI to drive longer chains of work autonomously.
Where: greenfield agentic projects.
The choice of tool per project depends on what we’re building. We don’t sell tools — we use them. You own the codebase, the credentials, and the output. No lock-in.
We ship this way ourselves
Dogfooding isn’t a marketing line. We use AI-assisted development on our own production work, so we know what the methodology actually ships versus what breaks under load. A few examples we can talk about:
This website
Next.js, Payload CMS, TypeScript, Cloudflare. ~30,000 lines of code, ~400 indexed pages. Built and maintained with Claude Code.
Route-health monitoring stack
Cron-driven health checks across 60+ tracked routes, auto-recovery, Telegram alerts, Cloudflare cache purge integration. Built in a weekend.
Internal SEO tooling
DataForSEO + GSC + custom analyzers. The reason we publish content on a 6× faster cycle than most agencies our size.
Custom deployment scripts
Staging worktree auto-sync, MongoDB dump/restore, PM2 process management. Zero CI/CD vendor lock-in.
Every one of these was built using the same AI-assisted methodology we’ll use on your project. We can show you the commit history.
We ship AI-assisted projects into these industries
Proof
Projects we’ve shipped this way
AI build
AI · venture intelligence
PovNexus
A B2B SaaS venture-intelligence platform — AI agent reasoning, a Growth Engine, and multi-tenant architecture across 11 core services.
BubbleSupabaseOpenAI
Read case study →
Case study
Marketplace
RyuApp
Caregiver–pet matching platform shipped on a bootstrapped budget — production auth, payments, and infra.
Read case study →
Case study
Marketplace
FixZa
On-demand services marketplace built fast on modern infrastructure — owned codebase, no platform lock-in.
Read case study →
Case study
EdTech · SaaS
FutureSpark
EdTech SaaS platform delivered in weeks, not quarters, with a clean engineer-readable handoff.
Read case study →
Proof · client voices
And it works, every time.
Hear it straight from our customers.
01 / 07
This system has been a dream of mine for almost a year. I have tried to build it myself and finally came to the conclusion I needed help. The NerdHeadz team has built me exactly what I was dreaming about and more! Working with them has been an absolute pleasure. I can't thank them enough.
Amy Olson
Founder & Airbnb Listing Strategist, Smart Hosting Hub
3+
Years of industry leadership
30+
Experts ready to build
60+
Projects delivered on time
90%
Client retention
Why teams pick NerdHeadz for AI-assisted work
Senior engineers only.
No “AI does the work, junior reviews it” pipeline. The engineer on your project has shipped production software for years.
Dogfooded methodology.
We use these tools on our own production work daily. The methodology we sell is the methodology we live in.
No lock-in.
You own the code, the credentials, the infrastructure. Any engineer can pick it up after we hand off.
Fixed-price for known scope.
No T&M surprises during the build. If scope changes mid-project, you see the time logs.
What we don’t do
- We don’t sell “AI transformation” consulting. We build software.
- We don’t charge for training your team on tools we use internally. Want to learn how we work? We’ve written about it. Ask us anything.
- We don’t ship prototypes and disappear. Every project comes with production deployment and a handoff your next engineer can actually read.
- We don’t pretend the AI writes the product. It writes the code. We write the product.
✺FAQ
Frequently asked questions
No. No-code platforms lock you into their tools and pricing. AI-assisted development produces real code in your repository, running on your infrastructure. You own it. You can hire any engineer to continue it.
Every line is reviewed by an experienced engineer. The AI writes drafts at human-level quality; we test, refine, and ship. Most bugs come from ambiguous requirements, not the AI — which is why we spend upfront time on spec and not on “prompt engineering.”
AI accelerates the typing, boilerplate, and first-draft work — the parts that typically eat the most hours. What remains is engineering judgment, which is what you’re actually paying for. Fewer hours to the same output = lower cost. Typical project comes in at roughly half what a traditional agency would charge.
You do. Full repository access, your infrastructure, your credentials. We don’t keep copies or maintain black-box hosting.
Yes. We embed alongside existing engineers, match their conventions, and hand off cleanly. Many of our projects involve an internal developer learning our workflow and continuing it after we leave.
Common — most projects aren’t, at first. The first phase (Scope + Spec, 1–2 weeks) is designed to make scope concrete enough to fix-price. If after that phase the scope is still genuinely ambiguous, we move to T&M and you see hourly logs.
Default modern web stack: Next.js, TypeScript, React, Node.js, PostgreSQL or MongoDB, Payload CMS where it fits, Cloudflare for deployment. For mobile: React Native. For AI features inside the product: Claude or OpenAI APIs. We pick per project — you’ll see the recommended stack in the scope doc.
Let’s ship
Ready to ship?
30-minute scoping call, no pitch deck. Bring the idea — we’ll tell you what’s realistic, what’s expensive, and what’s possible in six weeks.