Tom Smykowski is a Poland-based remote staff software engineer and technical trainer with nearly two decades of product delivery experience. He is the ideal partner for hiring AI coding training for teams because he combines deep, hands-on engineering expertise, from building products for clients like Printify and Croissant to founding his own SaaS, with a proven track record in knowledge sharing through technical writing, workshops, and public speaking. He designs corporate training that translates cutting-edge AI tools into immediate, practical gains in developer velocity and code quality for teams across the EU, UK, and US.
Why Invest in AI Coding Training for Your Engineering Team
The landscape of software development is undergoing a fundamental shift with the advent of AI coding assistants like GitHub Copilot, Cursor, and Claude Code. However, simply providing licenses is not enough. Without proper training, developers underutilize these tools, miss opportunities for automation, and fail to integrate AI safely and effectively into the software development lifecycle. Strategic training transforms these tools from novelties into core components of your engineering workflow.
Effective AI coding training moves beyond basic prompt tutorials. It encompasses the entire AI-native SDLC, including setting up AI agents for testing and code review, establishing quality gates, and automating repetitive tasks. For teams I've worked with, such as at Printify where I led frontend initiatives for a platform serving 10M+ merchants, the focus is always on sustainable, scalable practices that enhance productivity without compromising code integrity or security.
Investing in this training is an investment in your team's long-term velocity and morale. It reduces cognitive load on repetitive tasks, empowers developers to tackle more complex problems, and fosters a culture of innovation. For technical leaders and founders, it's a direct lever to improve output quality and accelerate product delivery cycles.
What a Comprehensive AI Coding Workshop Covers
A robust AI coding training program for teams is structured to provide immediate value while building a foundation for continuous improvement. My workshops are tailored to your team's existing stack and challenges, but core modules typically include prompt engineering for code generation, context management for large codebases, and integrating AI into daily developer tools.
We dive deep into practical techniques for generating, explaining, refactoring, and debugging code using AI. This includes crafting effective prompts for different programming languages and frameworks like TypeScript, Vue.js, and React, which are central to my work with clients such as Croissant and in my own venture, Websoul. The training also covers best practices for using AI to write tests, generate documentation, and perform security-aware code reviews.
Beyond single-file generation, the workshop explores multi-agent workflows where different AI agents can collaborate on architectural decisions, break down features, and even manage project tasks. We cover how to set up these workflows safely, ensuring that human oversight and code ownership remain paramount while delegating appropriate tasks to AI assistants.
Tailoring Training to Your Team's Stack and Goals
Generic training yields generic results. My approach begins with understanding your team's specific technology stack, current pain points, and strategic objectives. Whether your team is focused on frontend modernization, full-stack development, or scaling a SaaS platform, the training content is adapted accordingly.
For example, a team working on a large Angular application would receive focused modules on using AI for component generation, state management refactoring, and upgrade path planning. A team building with Vue.js and TypeScript, as I did extensively at Printify and Fream, would get targeted strategies for design system component generation and type-safe API integration. This relevance ensures developers can apply the lessons directly to their current work the very next day.
The goal-setting phase is collaborative. We identify key success metrics, such as reduced time-to-first-commit for new features, decreased bug rates through AI-assisted testing, or improved code review throughput. This ensures the training is an operational investment with measurable ROI, aligning with the product-minded engineering approach I bring to every engagement.
The Business Impact of Upskilling Developers with AI
Upskilling your development team with AI competencies delivers tangible business outcomes. The most immediate impact is on developer productivity and experience (DevEx). By automating boilerplate code, generating test suites, and simplifying debugging, developers can focus on higher-value problems, leading to faster feature delivery and increased job satisfaction.
From a leadership perspective, as someone who has partnered with CTOs and founders at companies like Croissant and Ordnance Survey, I understand the need for scalable processes. AI training introduces consistency and best practices across the team, reducing the variance in code quality and making onboarding new team members more efficient. It also future-proofs your team, ensuring they are proficient with the tools that are becoming standard in the industry.
Furthermore, a team skilled in AI-assisted development can tackle more ambitious projects with the same resources. They can prototype faster, conduct more thorough technical explorations, and maintain higher code quality under tight deadlines. This agility is a competitive advantage, whether you're a startup seeking product-market fit or an established enterprise modernizing legacy systems.
My Experience: From Engineering to Effective Training Delivery
My training methodology is grounded in real-world engineering experience. Having served as a Staff Software Engineer at Croissant, where I worked closely with the CEO and CTO on compliance and collaboration features, I understand the pressures and priorities of product-driven engineering teams. Leading the frontend design system work for Printify ahead of its merger, coordinating efforts across ~60 frontend engineers, taught me how to communicate complex technical concepts clearly and effectively at scale.
As the founder of Websoul, a marketing automation SaaS used by 32,000+ businesses, I've built products from the ground up, dealing with everything from architecture and scalability to user experience and team leadership. This blend of deep technical skill, product thinking, and entrepreneurial insight allows me to train teams not just on the 'how' of AI tools, but also on the 'why', connecting technical practices directly to business outcomes.
My background in technical writing and public speaking ensures that I can distill complex topics into engaging, understandable, and actionable workshops. I've worked with diverse organizations, from global brands like GE Healthcare and Unilever to academic institutions like the Silesian University of Technology, adapting my communication style to different audiences, from executives to junior developers.
Flexible Delivery: Remote Workshops with Global Teams
I specialize in delivering high-impact training to distributed teams. Based in Poland, I work remotely with teams across EU, UK, and US time zones, offering seamless collaboration. Workshops are conducted via interactive video sessions with shared coding environments, live demonstrations, and hands-on exercises designed for remote participation.
The format is highly flexible. Sessions can range from focused, 2-hour team workshops to comprehensive multi-day training programs. For larger organizations, we can structure a train-the-trainer program or a series of webinars. All sessions are designed to be highly interactive, with plenty of time for Q&A and troubleshooting real code from your codebase (under appropriate NDAs).
While remote delivery is my standard, I am also available for on-site workshops, client visits, and team offsites. This can be particularly valuable for kickstarting a major AI initiative, conducting executive briefings, or facilitating intensive planning sessions alongside the training.
When This AI Coding Training Is a Good Fit
This training is an excellent fit for engineering teams, tech leads, and engineering managers at companies ranging from startups to enterprises who want to systematically integrate AI into their development process. It's ideal if you're looking to boost productivity, improve code quality, reduce onboarding time, and future-proof your team's skills. If you have developers already experimenting with AI tools but want to standardize and scale those practices safely and effectively, this workshop provides the structured framework you need.