Full Stack Custom Software
Full stack custom software is a production application built and shipped end to end: frontend, APIs, data layer, infrastructure, deployment pipeline, and the operational surfaces a team needs after launch. Large builds are phased and decomposed before they are quoted. It is a fit when the problem needs a system of its own rather than an automation on top of existing tools.
Production-grade applications designed and shipped end-to-end. Frontend, APIs, data, infrastructure, and the operational surfaces your team needs after launch.
Pricing Fixed price per phase, quoted from a full decomposition of the work after solution scoping. See full pricing →
Why this service exists
Most software projects fail at the seams, and most of the cost arrives after the launch date, not before it.
We build the whole system: interfaces, APIs, data layers, orchestration, deployment, and the admin surfaces someone will need at 2am. A capable model or a clever feature is not enough if the application around it is brittle, opaque, or impossible to operate.
Large builds get phased, and each phase is decomposed until every piece of work is small enough to estimate honestly. Once the system is live, Managed Solutions picks it up, so what we shipped keeps working instead of quietly rotting.
What’s Included
- ⚗ Product scoping and technical architecture
- ⚗ Frontend and backend implementation
- ⚗ Authentication, data storage, and third-party integrations
- ⚗ Deployment pipelines and environment setup
- ⚗ Observability, alerting, and post-launch stabilization
- ⚗ A clean handoff into Managed Solutions, or into your own team
The product · the pipeline · the support loop
What a full stack build includes and how it keeps running
- One team builds all of it: the app, the server, and the database, designed together instead of stitched from parts.
- Every change is tested before it ships, and deploys land without taking your product offline.
- We stay after launch, monitoring the live app and shipping fixes and improvements at a lower ongoing rate.
Common Engagements
How this work usually shows up
Example scopes that turn this service into something tangible inside the business.
Operator Tools
Engagement · 01
Internal platforms, dashboards, and interfaces for teams running complex day-to-day workflows.
Full Stack Custom Software
Customer-Facing Apps
Engagement · 02
Polished web applications that use AI where it earns its place and stay fast where it does not.
Full Stack Custom Software
Platform Extensions
Engagement · 03
Reliable custom workflows, pipelines, and integrations layered onto the stack you already run.
Full Stack Custom Software
FAQ
Full Stack Custom Software questions
The questions that come up most on intro calls, answered before you have to ask.
What tech stack does MagicPill Labs build on?
MagicPill Labs builds primarily in Python and TypeScript with React front ends, Postgres-backed data layers, and cloud deployment on Azure, Vercel, or Supabase depending on the system's needs. AI components are model-agnostic and integrated through providers such as Anthropic and OpenRouter. Where a client already runs a stack, the build follows it rather than importing a new one for its own sake.
Who owns the code in a custom software build?
Ownership is set in the engagement agreement, and the default is that the client owns the custom application code, schemas, and configuration built for them, along with the repository it lives in. MagicPill Labs retains its own pre-existing internal tooling and reusable frameworks, licensed to the client for use within the delivered system.
How do you handle hosting and deployment?
Builds ship with their deployment pipeline, environment setup, observability, and alerting included rather than added afterwards, and the system is deployed into infrastructure the client owns. After launch, hosting, patching, and monitoring can transfer to Managed Solutions, or be handed to your own team with the documentation and runbooks that go with it.
What does a typical custom software build timeline look like?
Large builds are phased, and each phase is decomposed until every unit of work is small enough to estimate honestly, so the timeline comes out of the scope rather than being set before it. A focused internal tool commonly runs a small number of weeks; a multi-surface platform runs across several phases with a working system at the end of each. Delivery is iterative, with monthly timesheets and observability included throughout.
What happens to the system after launch?
The month after launch is when most systems begin to decline, so every build ends in one of two defined handoffs: into MagicPill Labs Managed Solutions, which covers monitoring, incident response, dependency and security updates, and a scheduled improvement cycle, or into your own team with documentation, training, and a clean transition. There is no third option where the system is simply left running unattended.