Tom Smykowski is a senior product engineer and technical leader with nearly two decades of experience, specializing in modernizing development workflows with AI tools like Cursor. Hiring him as your Cursor AI workflow consultant means bringing in a practitioner who can assess your current processes, design and implement AI-assisted software development lifecycles, and train your team to achieve significant productivity gains. He is the ideal partner for founders, CTOs, and engineering leaders in the EU, UK, and US who want to leverage AI coding agents to build better software faster, without the overhead of large enterprise consultancies.
What is a Cursor AI Workflow Consultant?
A Cursor AI Workflow Consultant specializes in integrating AI-powered development environments, like Cursor, into your engineering team's daily practices. This goes beyond simply installing a tool. It involves a holistic analysis of your software development lifecycle, identifying bottlenecks where AI agents can automate tasks, improve code quality, and accelerate delivery. The consultant designs new workflows, sets up quality gates, and ensures the team adopts these practices effectively.
Tom's approach is grounded in hands-on engineering leadership. He doesn't just advise. He rolls up his sleeves to understand your codebase, your team's dynamics, and your product goals. His work with platforms like Croissant, where he served as a Staff Software Engineer in a CEO/CTO partnership role, and Printify, where he contributed to a design system used by over 60 frontend engineers, gives him the practical experience to transform complex systems. He translates the promise of AI into tangible, maintainable processes that scale with your business.
The outcome is an AI-native software development lifecycle. Teams move faster with confidence, as repetitive coding tasks are automated, code reviews are augmented, and testing becomes more robust. This transformation is particularly valuable for remote and distributed teams, where clear, automated workflows are essential for maintaining velocity and alignment across different time zones.
Key Benefits of Optimizing Your AI Development Workflow
Implementing a structured AI workflow with tools like Cursor delivers immediate and long-term advantages. The primary benefit is a dramatic increase in developer productivity and focus. Engineers spend less time on boilerplate code, debugging, and writing tests, and more time on creative problem-solving, architecture, and user experience. This shift not only speeds up delivery but also improves job satisfaction and reduces burnout.
Another critical benefit is enhanced code quality and consistency. AI agents can enforce coding standards, suggest optimizations, and identify potential security issues early in the development process. For teams like the one at Printify, which supports millions of merchants, maintaining a high-quality, consistent codebase across a large engineering organization is paramount. AI workflows act as a force multiplier for your existing best practices, ensuring they are applied consistently even as the team grows.
Finally, a well-designed AI workflow future-proofs your engineering organization. It creates a culture of continuous learning and tool adoption. As AI development tools evolve, a team trained in leveraging them effectively can adapt quickly, staying ahead of the curve. This strategic advantage is crucial for startups and scale-ups competing in fast-moving markets, ensuring your technical team remains a source of innovation, not a bottleneck.
Tom's Methodology for AI Workflow Integration
Tom employs a proven, multi-phase methodology to integrate Cursor and AI agents into your engineering practice. It begins with a discovery and audit phase. He reviews your current development process, codebase architecture, and team structure to identify the highest-impact opportunities for AI automation. This might involve analyzing commit histories, CI/CD pipelines, and testing coverage to pinpoint inefficiencies.
The next phase is design and implementation. Here, Tom creates a tailored AI workflow blueprint. This includes configuring Cursor rules and agents for your specific tech stack, setting up automated quality gates, and defining new protocols for code reviews and testing that leverage AI assistance. His full-stack expertise with Vue.js, TypeScript, Supabase, and complex systems ensures the workflow integrates seamlessly with your existing tools.
The final and most crucial phase is enablement and adoption. Tom conducts hands-on workshops and provides ongoing mentoring to ensure your team not only understands the new tools but also embraces the new workflow. He focuses on practical, scenario-based training, turning theoretical knowledge into daily habit. This approach ensures the investment in AI tooling translates directly into improved team output and product velocity.
Real-World Applications and Client Impact
Tom's consulting is informed by a track record of delivering complex products for notable organizations. For instance, his work on the Printify design system ahead of its merger with Printful involved coordinating a large frontend engineering team to create a scalable, maintainable foundation for a platform serving over 10 million merchants. This experience is directly applicable to designing AI workflows that must scale across large, distributed teams.
Similarly, his role as founder of Websoul, a marketing automation platform used by 32,000+ businesses, required building a robust, user-focused SaaS product from the ground up. The challenges of scaling a fintech SaaS, managing a complex data grid with AG Grid, and ensuring a smooth user experience provide him with a product owner's perspective. He understands that an AI workflow must ultimately serve the goal of shipping better products faster, not just adopting new technology for its own sake.
His engagements with industrial and institutional clients like DeLaval, GE Healthcare, Unilever, and the Silesian University of Technology demonstrate his ability to adapt to diverse domains, from agriculture and healthcare to academia and public administration. This versatility means he can quickly grasp the unique constraints and requirements of your industry, whether it's compliance, collaboration, or conversion-focused UX, and tailor the AI workflow accordingly.
Services Included in Cursor AI Workflow Consulting
Tom's consulting offering is comprehensive, designed to address every aspect of integrating AI into your software factory. It starts with an AI Software Factory Audit, a deep-dive analysis of your current SDLC to create a roadmap for AI integration. This is followed by Cursor AI Workflow Setup, where he configures the Cursor environment, defines agentic workflows, and establishes new coding standards and automation scripts tailored to your team.
A core component is Team Training and Upskilling. He offers corporate AI training workshops, engineering webinars, and hands-on pairing sessions to ensure your developers are proficient and confident using the new tools. For leadership, he provides CEO/CTO AI Briefings to align business strategy with technical capabilities, ensuring the investment drives tangible business outcomes.
For ongoing support, Tom offers Fractional AI Engineering Leadership. In this capacity, he acts as a part-time technical lead, guiding the evolution of your AI workflow, troubleshooting adoption challenges, and helping your team integrate new AI advancements as they emerge. This model provides the strategic oversight of a staff engineer without the cost of a full-time executive hire, perfect for startups and scaling companies.
Why Hire a Remote Consultant Based in Poland?
Engaging a remote Cursor AI workflow consultant like Tom, who is based in Poland, offers distinct advantages for international teams. Poland's central European location provides convenient time zone overlap with both Western Europe and the US East Coast. This facilitates synchronous collaboration for workshops, stand-ups, and planning sessions while also supporting the async communication that effective AI workflows enable.
Tom's extensive experience working remotely with EU, UK, and US teams, including his staff role at New York-based Croissant, means he is adept at navigating the communication and collaboration challenges of distributed work. He builds processes that are inherently remote-friendly, ensuring that the AI workflows he implements strengthen, rather than hinder, your team's ability to work effectively across distances.
Furthermore, hiring a consultant on a B2B contract provides flexibility and cost-effectiveness. You gain access to senior-level, staff-engineer expertise for a specific project or a retained period, without the long-term commitment and overhead of a full-time hire. This model is ideal for focused initiatives like AI workflow transformation, where deep expertise is needed intensively for a defined period to catalyze change within your organization.
When This is a Good Fit
This engagement is a perfect fit if you are a founder, CTO, or engineering leader at a software company or tech-driven organization. Your team is building or maintaining complex web applications, and you feel your developers could be more productive with better tooling. You've heard about AI coding assistants like Cursor, Claude Code, or GitHub Copilot but are unsure how to implement them systematically across your team to maximize their impact. You need an expert who can audit your current process, design a new AI-native workflow, set it up, and train your team to use it effectively, all while understanding the product and business goals behind the code. If this describes your situation, hiring Tom as your Cursor AI Workflow Consultant will provide a clear return on investment through accelerated development cycles and higher-quality output.