Who is an Agentic Engineering Consultant?
Tom Smykowski is a product-minded staff software engineer and agentic engineering consultant with nearly two decades of product delivery experience. He specializes in helping founders, CTOs, and engineering executives implement AI software factories, integrating agentic workflows with tools like Cursor, GitHub Copilot, and Claude Code to transform software development lifecycles. His consulting focuses on ownership from discovery through production, combining hands-on engineering, product thinking, and technical leadership to build AI-native development capabilities.
An agentic engineering consultant moves beyond basic AI tool adoption. This role involves architecting systems where AI coding agents operate semi-autonomously within defined quality gates, automating repetitive coding tasks, testing, and even aspects of system design. Tom's approach is grounded in practical product delivery, having served as a Staff Software Engineer at Croissant and led frontend and design system work for platforms like Printify, which serves over 10 million merchants. This ensures his AI implementations are not just theoretical but are designed for scalability, maintainability, and real-world user impact.
Operating remotely from Poland, Tom collaborates effectively with international teams across the EU, UK, and US, including US East Coast overlap. His engagements are tailored for technical leaders who need to boost developer productivity, establish robust AI-assisted SDLC practices, and future-proof their engineering operations. Whether for a startup building an MVP or an enterprise scaling a SaaS platform, his consultancy bridges the gap between cutting-edge AI potential and reliable, production-grade software delivery.
Core Services in Agentic Engineering
Tom's agentic engineering consultancy covers the full spectrum of integrating AI into the software development process. A primary service is the AI Software Factory Setup, where he designs and implements the infrastructure, tooling, and workflows that enable teams to leverage AI coding agents effectively. This includes configuring environments for Cursor or Claude Code, establishing prompt libraries, and creating quality gates and automated testing pipelines that work alongside AI-generated code. For teams using GitHub Copilot, he provides enterprise adoption strategies that move beyond individual usage to team-wide best practices and compliance integration.
Another critical service is AI-Native SDLC (Software Development Life Cycle) design. Here, Tom audits existing development processes and re-architects them to be AI-first. This involves workflow automation, agentic task delegation for code generation and review, and establishing metrics for developer productivity (DevEx) gains. He also provides hands-on AI Coding Agents Setup, where he trains teams on building, fine-tuning, and managing custom AI agents for specific tech stacks or business domains, such as Vue.js, TypeScript, or Supabase-based applications.
Beyond setup, ongoing AI Strategy and Advisory forms a key part of his consultancy. Acting as a fractional technical leader, he helps CTOs and engineering managers develop a roadmap for AI integration, manage technical debt introduced by AI-assisted coding, and ensure security and scalability are not compromised. This end-to-end service model ensures that investments in agentic engineering yield sustainable, long-term improvements in speed, quality, and innovation, rather than creating new layers of complexity.
Proven Impact Across Industries
Tom's methodology is proven across diverse sectors, from fast-growing SaaS platforms to large industrial enterprises. At Croissant, a workplace platform, his work involved deep compliance and collaboration feature development, a context where introducing AI agents requires careful governance. At Printify, he led the design system and rebrand ahead of a significant merger, coordinating with roughly 60 frontend engineers. Implementing agentic engineering in such complex, multi-engineer environments requires a nuanced understanding of design systems, component libraries, and scalable CSS architecture, which AI tools can now help generate and maintain.
His experience extends to industrial and B2B SaaS through his role at Fream, where he led frontend development for industrial SaaS applications, focusing on design systems, interactive maps, and conversion-optimized UX. In these data-intensive and workflow-critical domains, AI agents can be leveraged for generating data visualization components, automating map layer configurations, or optimizing user flows. Furthermore, his earlier work in industrial ERP systems at Insoft Serwis provides insight into complex business logic and legacy system modernization, areas where AI can assist in code translation, documentation, and test suite generation.
This breadth of experience, serving clients like GE Healthcare, Unilever, Bunge, and various Polish governmental and academic institutions, means Tom understands the unique constraints and opportunities in regulated, enterprise, and public-sector projects. His agentic engineering solutions are therefore not one-size-fits-all but are carefully adapted to industry-specific requirements, compliance needs, and team maturity levels, ensuring practical and secure adoption of AI-powered development practices.
The Technical Foundation for AI Integration
Successful agentic engineering is built on a strong foundation of modern software engineering practices. Tom's deep expertise in full-stack development with Vue.js, TypeScript, Supabase, and AG Grid provides the essential substrate for effective AI tooling. AI coding agents excel when working with well-typed, modular codebases. His work in building accessible, component-based design systems for platforms like Printify directly informs how to structure code for optimal AI comprehension and generation, reducing hallucinations and increasing output reliability.
His background in building and scaling SaaS products, such as Websoul which served over 32,000 businesses with marketing automation and fintech tools, underscores the importance of architecture. When implementing AI software factories, considerations for API design, state management, database optimization (leveraging tools like Supabase), and complex UI rendering (with AG Grid) are paramount. Tom's consulting ensures that the introduction of AI agents enhances these architectures rather than complicating them, focusing on maintainability and performance.
Furthermore, his experience in technical writing and knowledge sharing is a critical differentiator. The adoption of agentic workflows requires upskilling teams and creating comprehensive internal documentation. Tom's ability to conduct corporate AI training, workshops, and webinars ensures that knowledge transfer is a core part of the engagement. This holistic approach, combining cutting-edge AI tooling with robust engineering fundamentals and effective communication, guarantees that teams are not just using new tools but are fundamentally upgrading their development capabilities.
Implementing Your AI Software Factory
Engaging an agentic engineering consultant begins with a discovery and audit phase. Tom typically starts with a Codebase and Architecture Audit to assess the current development environment, toolchain, and team readiness. This audit identifies the highest-impact opportunities for AI integration, such as automating boilerplate code generation, enhancing test coverage, or streamlining CI/CD pipelines with AI-powered quality checks. This initial assessment, available from $299, provides a clear, actionable roadmap for implementation.
The implementation phase can range from focused consultations to full setup projects. An AI Software Factory Consultation (from $199) can address specific challenges, while a comprehensive AI Software Factory Setup (from $599) involves hands-on configuration of tools, workflows, and team training. For leadership teams, CEO/CTO AI Briefings (from $199 for 90 minutes) offer strategic insights into the ROI and competitive advantages of agentic engineering. For broader team adoption, AI Team Workshops (from $299 for 2 hours) and Corporate Training sessions (from $499) are available to build internal competency.
For ongoing needs, Tom offers fractional leadership and retainer models. As a Fractional CTO or through Technical Consulting retainers (from $65/hour), he provides continuous guidance as your AI software factory evolves. This is ideal for startups and scale-ups that need senior-level AI engineering strategy without the full-time overhead. All services are delivered remotely, with the option for occasional on-site workshops to align teams and accelerate adoption, ensuring seamless collaboration with teams in the EU, UK, and US time zones.
When This is a Good Fit
Tom's agentic engineering consultancy is an ideal fit for CTOs, VPs of Engineering, and technical founders who are looking to significantly accelerate their development cycles and improve code quality through AI. It is particularly valuable for product-minded teams building with modern stacks like Vue.js, TypeScript, and React, who want to implement AI-native workflows in a structured, scalable way. If you are based in the EU, UK, or US and need a remote, senior-level expert to guide your transition to agentic development, this engagement will deliver immediate and long-term value.