Why now? AI-driven Engineering

Coming from over 15 years of experience of running software development agency and helping enterprises build software solutions and navigate digital transformation I can see how  AI-driven software development is a upcoming evolution and what huge potential it already has. Especially in how we now can build efficient hybrid teams combining human engineers and AI agents.

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Integrating AI into software development processes isn't about individual developers using tools like GitHub Copilot. It’s about redefining the entire Software Development Life Cycle (SDLC) to create genuinely AI-driven infrastructure within organization. What I’ve discovered so far is that the real complexity lies in orchestrating AI-human collaboration at a team level.

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Why now? Just 6 month ago AI was hyping, but there were not enough tooling to implement AI-driven infrastructure for software development.

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Today, there are already some impressive tools to get started. There is Lovable to play around and quickly build prototype for brainstorming, instead of using business requirements spreadsheet. Supabase - infrastructure as a service tool accelerates backend development to spin up any app in hours. Most importantly MCP (Multi-Chain Protocol) enable seamless integration between AI agents and multiple software tools.

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There are a ton of low-hanging fruits of how AI can truly amplify engineering capabilities at the organization level. The fact of groundbreaking tools and models launching nearly every week — it makes it even more exciting.

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