End-to-end product engineering with AI as primary development leverage - production applications, agentic backends and AI-augmented internal tools built on a staged pipeline where every change passes automated gates and a named human before it reaches production.
dfzoo AI Institute builds production software using AI as the primary engineering leverage. We deliver web applications, agentic backends, AI-augmented internal tools and AI-native products to teams that need senior engineering judgment at the velocity AI now enables. Every change moves through the same pipeline: ticket, spec, plan, implementation, automated gates (typecheck, lint, build, code review), PR with preview, human review, merge, verification in production. We accelerate delivery and hold stability, and we measure both: throughput and defects found after merge. ISO 9001:2015 quality assurance backing. The company pillar - most engagements at dfzoo AI Institute touch this practice.
intro call, problem definition, technical scoping, fixed-fee phase proposal.
Every change starts as a ticket, becomes a written spec, then a plan. Gate: you approve scope and plan before a line of code is written.
AI agents write code under a senior engineer who directs, corrects and rejects. Gate: what leaves the branch is decided by that engineer, never by the agent that wrote it.
Typecheck, lint, build and automated code review run on every branch. Gate: machine-decided and not overridable, same threshold for AI-written and hand-written code.
Each PR gets a preview environment with the change running end to end, and a second senior engineer reads the full diff. Gate: a human decides merge or rework, and the review trail stays in the repository.
After deploy we check the change against tracing, alerts and the runbook. Gate: the change is done when it behaves in production, not when it merges.
Production readiness review, load testing, observability completeness, on-call training, then pair sessions and documented handover. Optional maintenance under App Maintenance.
Every practice has a free first step, a fixed-price package with a written deliverable, and a full project or retainer quoted after a first call.
A 60-minute intro call with an engineer, or the online self-assessment. You leave with a clear next step, no obligation.
Build one defined use case as a working PoC on the client's data, deployed to staging, with source code, tests and a benchmark report.
Not included: Production deployment and maintenance, integration with more than two source systems, infrastructure and inference costs, UI design work beyond a working sketch.
Ask for this packageEnd-to-end product delivery to production with infrastructure, observability and handover: from 28 000 EUR, quoted after a first call.
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