The Client
WashDoctors is a mobile car wash and valeting platform that connects customers with trained technicians. The platform spans a customer-facing marketplace, a partner booking experience, an admin panel, and a mobile app. The stack is .NET and Angular, hosted on AWS.
The Context
When the engagement began in October 2025, WashDoctors’ platform had been built and maintained externally. The arrangement worked when the business was smaller, but as WashDoctors grew, the cadence couldn’t keep up. New features took too long to land. Bugs took too long to fix. Marketing and ops couldn’t move quickly when the platform needed to respond to them.
WashDoctors needed to take ownership of the technology and lift the cadence, without standing up an in-house engineering team and the management overhead that comes with it.
What we did
F-CTO + AI-first dev, from day one
We’ve been WashDoctors’ F-CTO and hands-on dev partner since October 2025. One engagement, both halves: the strategic decisions about what to build, when, and why, plus the AI-first engineering that ships the work.
The brief from day one was to move the platform off the traditional agency model and onto a faster, AI-first development workflow under WashDoctors’ own control. The early phase of the engagement was deliberately about getting the foundations right. The recent phase has been about scaling output now those foundations exist.
For WashDoctors, that means continuous technical leadership across architecture, roadmap, technical risk, and hiring decisions, all without a full-time CTO hire. The same partner who sets the direction also writes the code that gets you there.
Took the platform in-house
Early in the engagement, we migrated all source code to GitHub and rebuilt the deployment pipelines on GitHub Actions under WashDoctors’ own control. End-to-end visibility from code to production was a prerequisite for everything that followed. WashDoctors now owns its entire deployment chain, with full visibility at every stage.
AI-first development, day to day
AI tooling sits across the entire development lifecycle here: writing code, reviewing code, generating tests, identifying bugs. This is how the platform is built day to day, not a side experiment.
The practical impact is that the engagement is producing the kind of output you’d normally expect from a much larger team. The features below were all shipped inside a single quarter. That is roughly 10× the speed of the previous agency-led model.
The safety net
Speed only works if you aren’t breaking things. The infrastructure was designed specifically to make AI-first development safe and sustainable.
- ◇291 automated integration tests on every code change
- ◇Automated security scanning (CodeQL) on every pull request
- ◇Strict type checking across the full stack, frontend and backend
- ◇Dependency monitoring and code ownership rules
- ◇Real-time error monitoring (Sentry) across every service
Every change goes through the same automated checks before it reaches customers, regardless of how it was written. That is what makes the speed sustainable.
Want this kind of velocity for your platform?
One F-CTO engagement covers the strategic leadership and the hands-on engineering, without hiring a CTO and a team of developers.
What we shipped
A snapshot of what reached production in a single recent quarter.
Service-Provider Booking App
A refreshed, mobile-first booking experience for partner technicians. Cleaner booking flow, per-partner theming, and four rounds of iteration to land it. Service providers now have a booking experience that matches their own brand.
Customer Dashboard
Account overview, previous bookings, and one-tap rebook on the web. The mobile app already supported rebooking. The dashboard opens this up to all web customers, lifting repeat-booking rates across every channel.
Self-Serve Booking Edits
Customers can now modify their own bookings without calling support, reducing operational overhead per booking.
Technician Quality Programme
A visible quality programme for technicians, surfaced to customers at the point of booking. Top operators are recognised and rewarded, customers can see what they are choosing, and the platform reinforces the standards WashDoctors trains its partners to.
Platform Infrastructure Upgrade
Brought the stack onto modern standards. Unblocked the modern marketing toolchain. Analytics tagging and affiliate-channel tracking now run cleanly in production, giving marketing full conversion attribution and a new paid acquisition channel.
Admin CMS
A content management system for special offers and help/discover content, including video uploads. Previously, any content update required a developer in the database. Marketing and ops now manage this themselves.
Real-Time Error Monitoring
Sentry integrated across every service. Issues get detected and triaged as they happen, not when a customer reports them.
Key results
- 01
13 production releases in one quarter. Roughly 10× the speed of the previous agency setup.
- 02
6 major features shipped to production in 90 days.
- 03
Source code and CI/CD owned in-house by WashDoctors, with full visibility from code to production.
- 04
Modern marketing stack unblocked. Analytics tagging and affiliate-channel tracking now live in production. Marketing has full conversion attribution and a new paid acquisition channel.
- 05
291 automated tests plus security scanning running on every code change.
- 06
More cost-effective than the previous agency arrangement, with materially higher output.
The approach
Most companies at WashDoctors’ stage face a choice: hire a CTO and a development team, or stay with an agency. The first is expensive and slow to recruit. The second often means giving up control and dealing with misaligned priorities.
The F-CTO + AI-first dev model is a third option. WashDoctors gets a technical leader who understands the business, sets the strategy, and manages the roadmap. The same partner also rolls up their sleeves and ships the work. One engagement delivers both the strategic oversight and the hands-on output that would normally require a CTO and a team of developers.
The infrastructure and code-quality investment was deliberately front-loaded so that everything built on top of it ships faster and more reliably. As AI tooling continues to improve, the platform is set up to adopt those improvements safely and immediately. That is a real advantage over teams that don’t have the testing, security, and deployment infrastructure to use AI with confidence.