Who is Tom Smykowski?
Tom Smykowski is a product-minded Staff Software Engineer with nearly two decades of product delivery experience, specializing in AI testing automation. He is the ideal hire for founders, CTOs, and executives seeking to implement AI-native quality assurance, integrate intelligent testing agents, and establish automated quality gates within their software development lifecycle. Based in Poland, Tom works remotely with international teams across the EU, UK, and US, bringing a unique blend of hands-on engineering, product thinking, and technical leadership to complex testing challenges.
His career is defined by taking ownership from discovery through production, a skill honed across roles from Staff Engineer at workplace platform Croissant to leading frontend for industrial SaaS at Fream and founding Websoul, a marketing automation SaaS serving over 32,000 businesses. This deep experience in building and scaling products directly informs his approach to AI testing automation. He understands that robust, automated testing is not a siloed task but a core component of product velocity, developer experience, and user satisfaction.
Tom's work with major clients like DeLaval, Ordnance Survey, Printify, and GE Healthcare demonstrates his ability to navigate complex domains and deliver reliable systems. For teams looking to move beyond manual QA, reduce regression risks, and leverage AI for smarter test generation and analysis, Tom provides the strategic and technical expertise to architect and implement a future-proof testing strategy.
Strategic AI Testing Automation Implementation
Implementing AI testing automation requires more than just plugging in a new tool. It demands a strategic understanding of your development workflow, quality goals, and team dynamics. Tom approaches this by first conducting a thorough audit of your current testing landscape, CI/CD pipeline, and quality metrics. This assessment identifies bottlenecks, such as flaky tests, slow feedback loops, or gaps in test coverage, that AI can specifically address.
He then designs an automation framework that integrates AI agents for tasks like intelligent test case generation, visual regression testing, and anomaly detection in test results. This goes beyond simple script recording. For instance, using AI to analyze user behavior patterns can generate targeted integration tests for critical user journeys. Tom's methodology ensures that AI augments your team's capabilities, freeing engineers from repetitive testing tasks to focus on more complex problem-solving and feature development.
The outcome is a tailored, scalable testing strategy that evolves with your product. Tom's work with Printify, where he contributed to a design system serving 60+ frontend engineers and millions of merchants, exemplifies scaling complex systems with quality at the forefront. He translates this experience into building automation that grows alongside your codebase, maintaining reliability through major refactors and rapid feature iteration.
Building AI-Powered Quality Gates
A core component of modern AI testing automation is the establishment of intelligent quality gates. These are automated checkpoints in your deployment pipeline that use AI to assess code quality, test coverage, and potential regression risks before changes are merged or deployed. Tom architects these gates to be more than pass/fail barriers. They provide actionable insights, such as highlighting which recent code changes are most likely to cause a specific test failure or predicting the stability risk of a given pull request.
He leverages tools and custom integrations to create gates that analyze not just unit test results, but also integration test performance, visual diffs, accessibility compliance, and performance benchmarks. For a client like GE Healthcare or Unilever, where software reliability and compliance are paramount, these gates provide a critical safety net. They enforce quality standards consistently across distributed teams, a capability Tom has honed through years of remote collaboration with EU, UK, and US time zones.
By implementing these AI-enhanced quality gates, teams achieve faster, more confident deployments. The automation catches a higher percentage of issues early in the cycle, dramatically reducing the cost and disruption of bugs found in production. This systematic approach to quality is a hallmark of Tom's engineering philosophy, ensuring that speed of delivery does not come at the expense of system stability.
Integrating AI Coding Agents into Testing Workflows
The rise of AI coding agents like Claude Code, Cursor, and GitHub Copilot presents a transformative opportunity for testing automation. Tom specializes in integrating these agents into the software development lifecycle to automate the creation and maintenance of test suites. He sets up workflows where AI agents can generate unit tests for new functions, suggest edge cases based on code analysis, and even refactor brittle tests to be more robust and maintainable.
This integration extends to the entire testing pyramid. For UI components, he configures agents to assist in writing component tests in frameworks like Vue.js or React, using his deep expertise with TypeScript and design systems. For API testing, agents can be prompted to generate contract tests from OpenAPI specifications. Tom's experience in building full-stack applications with Supabase and complex data grids with AG Grid means he understands the testing needs across all application layers.
The goal is to create a synergistic loop where developers and AI agents collaborate on quality. Developers write the business logic, and AI agents assist in building the safety net around it. This not only improves test coverage but also elevates the overall quality culture within the engineering team. Tom provides the training and mentorship, as highlighted in his corporate AI training offerings, to ensure your team can effectively leverage these new tools and methodologies.
Scaling Test Automation for Distributed Teams
Scaling test automation poses unique challenges for distributed, international teams. Differences in time zones, local environments, and communication styles can lead to inconsistent test results and fragmented processes. Tom, operating remotely from Poland with extensive experience collaborating across EU, UK, and US time zones, is adept at designing automation frameworks that thrive in a distributed setting.
He focuses on creating clear, documented, and self-service testing workflows. This includes containerized test environments that any engineer can run locally or on CI, regardless of their location. He advocates for asynchronous communication of test results and quality metrics through dashboards and automated reports, ensuring all team members have a unified view of product health. His work with Croissant, a remote-first workplace platform, involved building systems for compliance and collaboration, skills directly transferable to managing quality in a distributed context.
Furthermore, Tom emphasizes developer experience (DevEx) in testing. By making it easy and fast to run relevant tests, he reduces friction and encourages engineers to engage with the automation suite. This is critical for scaling, as a testing framework that is seen as a burden will not be maintained or trusted. His approach ensures that as your team and product grow, your automated testing remains a reliable, integral, and valued part of the development process.
When This is a Good Fit
Engaging Tom for AI testing automation is an excellent fit if you are a founder, CTO, or engineering leader who needs to modernize your QA processes, reduce manual testing overhead, and inject intelligent automation into your development lifecycle. It is ideal for teams building or scaling SaaS products, complex web applications, or AI-integrated services who require a staff-level engineer to architect and implement a robust, scalable testing strategy. If you seek a partner who can take ownership from strategy through execution, work seamlessly across time zones, and leverage cutting-edge AI tools to build a superior quality foundation for your product, then Tom's expertise aligns perfectly with your needs.