15 May 2026
AI joined our toolkit only in the last few years. We have been building production software for over 20+ years across more than 30+ industries, and the more we use AI, the more obvious one thing becomes. The tool itself does not deliver a product. People around the tool do. Some of the routine moves faster now. Boilerplate, migrations, tests, parts of the documentation. The team gets through the predictable parts of a project sooner, which leaves more room for the parts that actually need a human, edge cases, performance, security, UX. What did not change: engineers still own architecture and core business logic. Every AI output is reviewed and understood before it goes into the codebase. Sensitive data does not leave our perimeter into third-party AI tools. Financial modules, payments, and anything that touches money or personal data are handled by people, not models. We do not ship AI features. We deliver AI-powered products that work in the real world. Under real traffic loads. With real users. AI is powerful only in expert hands. An LLM on its own does not build a product. An engineer who knows the system, the standards, and the trade-offs does. How we use AI - https://abz.agency/how-we-use-ai