Greenfield Production Systems builds and verifies production software with a gated factory. Every engagement ships with evidence you can check: the behavior catalog, the gate transcript, the suite that runs green on your system, and a boundary stating exactly what we didn’t cover.
AI agents now write more code, faster, than any team can meaningfully review. The new code looks right when it’s right and looks right when it’s wrong; at this volume, review can’t tell which is which. In New Relic’s June 2026 State of AI Coding survey, 94% of technology leaders rated AI-generated code higher quality than human-written code at review; 78% reported more production incidents once it shipped. The industry calls that spread the verification gap (Sonar’s January 2026 State of Code: 96% of developers don’t fully trust AI-generated code, yet only 48% always verify it before committing), and the work accumulating inside it is what Werner Vogels calls verification debt.
The bottleneck in software was never generation. It’s verification: knowing what a system does, proving what changed, and deciding whether to believe a quality claim. We built machinery for that.
94%
rate AI code higher quality at review
78%
report more production incidents
Three doors
The verification factory reads your repositories without modifying anything, then delivers a behavior catalog, a tiered coverage-debt report, and regression tests in your own QA repo. Every claim cites file and line.
Receipt 1,485 generated regression tests across a 15-target production estate (view the artifact)
Start with an auditA senior architect directs the factory through discovery, architecture, specification, implementation, and verification. You keep the specs, the ADRs, the tests, and the gate transcripts.
Receipt Spec to production in six weeks, with the delivery published week by week (view the artifact)
From spec to productionWe extract a provenance-cited behavior catalog from your running system, you approve it, and the final milestone is accepted on dual-green: the same behavioral suite, green on both systems.
Receipt A 25-year-old codebase rebuilt by the factory, in public (view the artifact)
Parity-guaranteed modernizationProof
Every figure links into the evidence library and carries the tag the factory gave it: proven, traced in source, or probe candidate.
gates on every build, deterministic and LLM-judged
generated specs green against live staging, first run
axis pairings analyzed; 3 coupled, each cited to its guard
API specs delivered, beside 19 journey specs and 7 view specs
bounded contexts in the Bugzilla port, with 18 cross-service events
How it’s made
Work moves through tracks and stations with automated gates between them; what fails a gate doesn’t move forward. Every run leaves a transcript, and the line itself is versioned like a product.
Built a production SaaS with an architect reviewing at stations that are now automated gates.
Ported Bugzilla end to end autonomously, from services to frontend to e2e journeys.
Verifies with typed provenance: every claim in the catalog cites file and line, and a gate checks the citation.