Overview
AI is fundamentally changing how software gets built. But adopting AI tooling effectively – without introducing new risks – requires experienced engineering leadership. I help companies move from experimenting with AI coding assistants to running AI-accelerated engineering as a reliable, governed practice.
What I Deliver
- Agentic coding with guardrails – setting up AI coding assistants with proper review processes, quality gates, and security checks so teams can move faster without cutting corners
- Automated testing – using AI to generate and maintain test suites, increasing coverage while reducing manual effort
- PR and release automation – AI-assisted code review, automated changelog generation, and streamlined release processes
- Developer enablement – training engineering teams to use AI tools effectively, establishing best practices and usage guidelines
- ROI assessment – measuring the actual productivity impact and helping leadership make informed decisions about AI investment
Track Record
For a SaaS scaleup, I introduced an AI-driven migration approach that reduced projected costs from multi-million euros to less than 100,000 euros and compressed the time-to-market from over a year to less than one quarter. This wasn’t just about writing code faster – it was about fundamentally rethinking the migration strategy with AI capabilities in mind.
My Approach
I don’t believe in AI hype for its own sake. My approach is pragmatic:
- Assess – understand the current development workflow, bottlenecks, and team capabilities
- Pilot – introduce AI tooling on a contained project with clear success metrics
- Scale – roll out proven practices across teams with proper governance
- Measure – track actual impact on delivery speed, quality, and developer satisfaction
The goal is sustainable acceleration – not a demo that falls apart in production.
Ready to accelerate your engineering with AI? Get in touch.
