From Fast Prototype to Dependable Software

AI accelerates code creation. It does not automatically answer whether the architecture, data model, tests, and operations fit the intended use. I analyze the existing foundation, make technical uncertainties visible, and develop a realistic next step.

Three typical starting points

The right format depends on whether code already exists, a product implementation is planned, or an established codebase needs to be improved for coding agents.

01

An AI prototype needs to be assessed

Before launch, funding, handover, or the next investment, the architecture review clarifies what is viable.

AI Prototype Architecture Review →
02

A demo or idea needs to become a product

The blueprint connects the actual product scope with the target architecture, implementation slices, roles, and effort ranges.

Prototype-to-Product Blueprint →
03

Coding agents need to work more reliably

In the pilot, real tasks show which boundaries, checks, and delivery processes are missing from the existing codebase.

Book a pilot call →

What is reviewed across all formats

What matters is not how the software was created, but whether it is fit for its intended use.

01
Architecture and data model: System boundaries, responsibilities, integrity, and critical business logic.
02
Changeability: Coupling, module boundaries, local change context, and documented contracts.
03
Validation: Reproducible builds, tests, type checks, and quality checks.
04
Delivery and operations: Deployment, observability, recovery, and controlled releases.
05
Security baseline: Permissions, secrets, attack surfaces, and identifiable baseline risks.

From question to sound decision

Every format starts with a clear scope and ends with evidence, a decision, and a transferable next step.

01

Scope

Define the use case, critical workflows, repository status, and pending decision.

02

Analysis

Examine code, structure, data, tests, delivery, and operational information.

03

Evidence

Support findings with concrete references, impacts, and uncertainties.

04

Decision

Keep, harden, refactor, or replace incrementally.

05

Handover

Review prioritized actions, next steps, and assumptions together.

What you receive

01
An independent architecture decision instead of an automated maturity score.
02
Technical findings with evidence, impact, priority, and uncertainty.
03
A decision for each relevant system part instead of a blanket rewrite recommendation.
04
A plan your internal team or another agency can implement.
View sample excerpt

Clear boundaries

01
No pentest: Security is a visible review area, but this is not a formal security test or certification.
02
No implementation project: The formats provide assessment and planning, not full implementation.
03
No staff augmentation: The collaboration is focused, time-limited, and outcome-oriented.
04
No AI strategy consulting: The focus is software architecture, testability, delivery, operations, and modernization.

Which starting point would you like to assess?

Choose an available time to discuss the application, context, tools used, and the next decision.