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development company

There is more than one correct way to build with AI. We work in two models, and the difference is worth knowing before you start. First one is AI-Accelerated Development. The development stays led by our developers, and AI takes the drag out of it across PRD, development, and testing. On average this brings a project to delivery about 40% faster, at the same quality. This fits when you have a clear product in mind and want it built well and sooner. The second is AI-Driven Product Development. Here AI carries more of the process. Our Product Delivery Managers write deep PRDs and define agentic loops that drive the project, AI generates against that, and the team verifies, tests, deploys, and builds new versions on top. This fits when the ground is well understood, feature is not risk sensitive and time to a working product is the priority. Both sit on the same foundation: people who have been here for years, twenty years of experience across more than thirty fields, and a process that holds quality regardless of how much of the work AI touches. Tell us about your project and we will be honest about which approach fits. Not sure which way to go? Write to us at info@abz.agency

Congratulations to our Fullstack Developer on 6 years at abz.agency 🥳💪 Six years ago, he joined us as a Frontend Developer. Today, his interests and expertise extend far beyond a single area. A year ago, we shared his journey from Frontend to Fullstack and then into DevOps. This year brought another level-up: mobile development and AI Engineering. New technologies, new approaches, and new challenges. Step by step, he continues to expand his skill set and explore new areas. These are the kinds of people who make up the abz.agency team. It's always inspiring to see someone keep growing and learning, even after 6 years with the company. And we're happy to support that journey. We wish him to keep the same drive and curiosity for new technologies. Let's see what gets added to this list by the next anniversary 😉

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