Digital by Design / AI adoption for engineering teams

Curious about AI.
Grounded in
engineering.

I’m Piotr Siemieniak, PhD. I work with engineering teams on AI adoption that survives contact with real delivery — workflows, reusable skills, and the privacy and security questions that come with them. Privacy and Security by Design is where the name comes from.

Piotr Siemieniak, PhD
Piotr Siemieniak, PhD AI engineering, with Privacy and Security by Design.
A useful place to start

Which of these sounds familiar?

The tools are here. The workflow is fragmented.

Claude Code, Codex and Copilot are in use, but setup and working habits differ from project to project.

Start with the workflow

Good practices stay with individual engineers.

You want useful instructions and lessons to become knowledge the team can share.

Explore the skills projects

The next step needs a by-design perspective.

AI adoption changes what your code can reach; access, data and review need to be designed, not retrofitted.

Frame the conversation
Working together

A better workflow starts with a real problem.

Start with a task that costs your team time or creates uncertainty. Together, we can understand the friction, explore a focused change, and decide what deserves a place in everyday work.

  1. Choose a problem worth solving

    Look at a real task with the people doing it. Understand where work slows down, what already helps, and which constraints matter — an AI readiness read on one real task rather than the whole organisation. You leave with a shared problem definition and clear signs of improvement.

  2. Try a change in real work

    Develop a focused workflow, reusable instruction, or small tool around that task. Let your engineers try it and challenge the assumptions. You leave with something concrete the team can use and assess.

  3. Decide what to keep and share

    Review the practical value, maintenance effort, and privacy or security implications. Decide what to refine, share more widely, or leave behind. You leave with a clear next step, with ownership and limitations understood.

Before we speak

You don’t need a finished brief.

What should I bring?

One task, a recurring frustration, or an idea you want to explore. A concrete example is enough to start.

Does it need to be a big transformation?

We can begin with one workflow and use what we learn to discuss the wider questions.

Do I need to choose a service?

Start with the problem. We can explore what working together could look like from there.

Piotr Siemieniak, PhD

AI engineering · Privacy & security

You’ll speak directly with me about your team’s workflows, tools and the privacy and security questions around them.

My perspective

What I bring to the conversation.

My current work connects everyday engineering tools with shared knowledge, privacy and security.

01

I build around the engineer’s day.

Polana Terminal comes from a concrete problem: repeated setup across Claude Code, Codex and multiple terminals. That everyday friction is a useful starting point for a team conversation.

Explore this together
02

I build the paths knowledge travels on.

My private skills marketplace and canonical skills transpiler explore how engineering instructions can be shared and expressed across tools.

Explore this together
03

I bring a by-design perspective.

Privacy and Security by Design is my focus and the origin of this practice’s name. Compliance engineering connects that perspective with requirements and implementation.

Explore this together
Experience

Engineering-grounded, not theory-driven

Years in software engineering
14+
Years in privacy and cybersecurity
9+
People trained
500+
Current work

Engineering questions I’m working on.

Explore my projects and start a conversation about the engineering questions behind them.

Agentic coding workflow

Polana Terminal

How can starting work feel less like setting up tools?

Discuss Polana Terminal
Technologies

The tools I actually work in.

Claude

Reasoning and coding

Codex

AI-assisted engineering

Gemini

Multimodal applications

Grok

Reasoning and tool use

Python

Automation and backend systems

JavaScript

Web applications and integrations

TypeScript

Typed applications and tooling

Rust

Systems and command-line tools

Jev

Structured decisions and routing

LangGraph

Stateful agent orchestration

Langfuse

Tracing and evaluations

Playwright

Browser automation and testing

Piotr Siemieniak, PhD
The person behind Digital by Design

Piotr Siemieniak, PhD

AI engineering · Privacy and Security by Design

My focus on Privacy and Security by Design is where the name Digital by Design comes from. Today, that perspective informs my work with AI-assisted engineering workflows, tools and systems.

Working together

An interesting problem is a good place to start.

Bring a workflow, a technical question or an AI adoption decision that is still taking shape. We can explore the problem and decide what working together could look like.