Method
We use SDD
Specification-Driven Development — where a formal spec is the single source of truth and AI agents are the workforce.
Less Team. Faster Delivery. Lower Cost.
Traditional software projects fail on three variables: team size drives cost, coordination drives delay, and handoffs drive defects. A five-person team with a 6-month timeline burns through budget before the first real user touches the system.
Industry research confirms the pattern — McKinsey reports 66% of enterprise software projects exceed budget, and 33% exceed timeline. The larger the team, the worse the numbers get.
SDD is a different bet: one senior engineer orchestrates AI agents that implement, test, document, and deploy — all from a formal specification. No standup meetings. No cross-team dependencies. No knowledge loss between sprints.
The SDD approach doesn't replace engineering expertise — it removes the overhead that surrounds it. The result: enterprise-grade systems delivered in days, at a fraction of the traditional cost.
Technical details of the approach — below.
Results
Proof in Numbers
Real metrics from a production system built with Specification-Driven Development by a single engineer.
from empty repo to production-ready system
Java microservices, each with its own CI/CD pipeline
of production code, tests, and configuration
JUnit 5 + Testcontainers, all passing
CI/CD, push-to-deploy on Kubernetes
REST API endpoints, fully documented
The Grain Warehouse Certificate Registry was built by one senior engineer using Specification-Driven Development. Every microservice, every test, every pipeline — traced back to a formal specification. No team scaling. No sprint overhead. Just spec, execute, validate, deploy.
Ready to Start?
Let's Build Something Real
NDA first. Then a clear specification, fixed price, and a working system — delivered in weeks, not months.