Services · Plan · Prepare · Test · Ship · Handoff
Fixed-scope packages for startups and small businesses that need a complete technical foundation: the application, integrations, pipelines, and docs, built to scale and ready to handoff.
Claude Code and GitHub Copilot are core to the development workflow here, meaning faster iteration, higher test coverage, and cleaner code than you'd get from a traditional engineer billing the same hours.
Every project includes automated tests from the start: unit, integration, and end-to-end, wired into a CI/CD (Continuous Integration/Continuous Deployment) pipeline so nothing breaks silently. Your future team inherits confidence, not anxiety.
The full environment gets built around your application: CI/CD pipelines, staging and production infrastructure, monitoring, secrets management, and architecture docs. The next team, whether a dev shop or your first hire, can start building without a setup sprint.
Building AI-native features into your product, not just calling an API, but architecting the full pipeline. RAG (Retrieval-Augmented Generation) systems that retrieve over your own data, LLM-powered workflows, semantic search, and AI chat experiences wired into a real application backend.
Packages
Agreed upfront, executed with full transparency along the way.
Nail down the architecture, integration points, and sprint plan before any code gets written. Ends with a fixed-scope proposal for the build.
A working, tested MVP live in production, built to be handed to a dev shop or your first engineering hire without a ramp-up sprint.
Already have a product? Get a third-party integration, payments, a CRM, an internal tool, built, tested, and documented on its own.
FAQ
You do. All IP is assigned to you in the engagement agreement. Everything lives in your repos from day one.
It means the environment is complete, not just the application. A new engineer (whether from a dev shop or your first hire) can read the architecture docs, spin up a local environment, run the test suite, and start contributing right away.
Absolutely. Experience translating technical decisions for non-technical stakeholders means you'll never feel like decisions are being made behind a wall of jargon. You'll stay informed and involved without getting buried in implementation details.
Definitely! Many clients continue on a reduced retainer for iteration and maintenance after launch, including support for your team's onboarding while your first engineering hire ramps up.
Yes, standard NDAs and confidentiality agreements are no problem.
Yes, this is a core offering. RAG (Retrieval-Augmented Generation) pipelines let your users search or chat over your own data, LLM-powered workflows integrate into your backend, semantic search runs on vector databases like pgvector, and AI features build on the OpenAI or Claude API. If AI is central to your product idea, the full architecture can be handled here.
Tools like Claude Code run throughout the full development cycle: architecture brainstorming, code generation, test writing, and documentation. These tools don't replace engineering judgment; they amplify it.
Only 1–2 spots are open at a time. If you have a project in mind, the best move is to reach out now.