Executive summary AI is no longer an experimental add-on — it is a multiplier that changes how we cost, staff, and architect software projects. For CTOs and product managers, the primary questions are practical: How does AI alter total cost of ownership (TCO) over a multi-year horizon? How much does it shrink time-to-market? When […]

Organizations are embedding AI into products, internal tools, and decision chains at an accelerating pace. That speed brings real user value — automation, personalization, insight — and real operational, legal and ethical risk. Privacy breaches, hallucinated outputs that mislead users, intellectual property (IP) leakage, and inconsistent internal governance are now recurring headlines.

Over the next three years (2026–2028), the software development landscape will be reshaped by three converging forces: increasingly capable AI (LLMs and domain models), standardized composability of AI services, and the practical maturation of edge/on-device inference. Together they will automate routine development tasks, create new building blocks for app composition, and move latency- and privacy-sensitive […]

How to go from prototype to production with AI-origin code: policies to adopt, verification and testing steps to enforce, compliance touchpoints to check, technical guardrails

Vibe coding is a way of building software where you express intent in natural language, let an AI (usually a large language model) generate runnable code

Artificial Intelligence (AI) is transforming every industry—and software development is no exception. What used to take months of coding can now be accelerated with AI-driven tools, frameworks, and automation. When applied to custom software development for websites, AI helps businesses build smarter, faster, and more efficient digital solutions. But is AI always the best choice? […]