Architecture
Explicit code structure — boundaries, modules, where agents may or may not generate.
Methodology
iASSET — the frame to ship AI in prod
Not vibe coding: a reproducible pipeline from spec to prod — framed agents, mandatory human review.
The 4-step pipeline
Isolated chain per project. Agents execute, the Founding Engineer controls.
Product spec
Versioned intent, typed contracts, machine-readable scope
Agents
Claude, Cursor, specialized agents — context framed by repo
iASSET gates
Human review, tests, security, observability before merge
Cloud prod
Sovereign deployment, monitoring, runbook
Spec → Agents → Gates → Prod
What is the iASSET methodology?
Evaluation and delivery grid: five mandatory controls from spec to prod — agents allowed to execute, humans to decide.
How we evaluate / ship
Fit audit (green / amber / red) → isolated pipeline → agents in sandbox on versioned spec → human gates (arch, security, tests, obs) before merge → cloud deploy. If the project is not pipeline-compatible, we say so at the fit.
Versioned spec
Typed contracts, machine-readable intent before execution.
Security
Explicit security points — auth, secrets, compliance — verified on the diff.
Human gates
Founding Engineer review before prod merge.
Agentized CI
Auto tests, AI cost/latency monitoring, reproducible pipeline.
Capitalize your expertise rather than suffer a future legacy.
Still master, not be mastered.
Pipelines in production
Case studies and blueprints — not theory.
MedTech
Pictaderm pipeline
Health data mobile app — architecture pivot, security gates, MVP in 12 weeks.
View pipelineFinTechSGW Payment pipeline
Multi-PSP orchestration at €3M+/month — vault, retries, monitoring.
View pipelineiASSET + CursorOAuth2 Gateway & gRPC
Spec → Cursor agents → CI gates on auth gateway and gRPC microservices.
View caseBlueprintiASSET & Gemini CLI guide
Full thread: from spec to merge request with skills, hooks and policy.
Open blueprintIs your project pipeline-compatible?
15 minutes to clarify fit and next step — no commitment.