
The Bottleneck That No Longer Exists
Internal tooling backlogs used to wait on dev resources. With standardised foundations and AI agents, teams can build what they need without the queue.
Growth • AI innovation • Product engineering

Internal tooling backlogs used to wait on dev resources. With standardised foundations and AI agents, teams can build what they need without the queue.

Four parallel tracks for building a real AI strategy: governance, training, fast-track PoCs with reusable infrastructure, and company-wide integration. Not a vague deck — a structured plan.

Organizations are pouring money into AI tools while junior engineers rack up token bills nobody expected. The real problem isn't adoption anymore — it's efficiency.
Engineer solving problems. Engineering products. I'm Gediminas—Geddy for short—Senior Web Engineer / Lead with 20+ years of web engineering experience across 10+ companies and 50+ projects. After years as an independent contractor working in highly competitive environments since 2017, I transitioned into engineering leadership over a year ago. I write about this shift from IC to leadership, leveraging AI in product development, and building scalable architectures. My focus is on sharing practical insights from navigating this evolution while maintaining technical depth.