Legacy systems, make-or-buy decisions, and technical renewal without a reckless rewrite.
AI coding agents can help serious teams move faster, but only when the existing system is legible enough for them to work safely. For many products, the first AI productivity project is making the codebase understandable.
SaaS sprawl, shadow IT and API chaos are not just IT housekeeping. They shape security, operations, data quality and the speed of the business.
A practical framework for deciding when to buy standard software and when to build custom systems.
AI lowers the cost of generating code, but architecture, operations, security, and long-term ownership still determine the real cost of software.
Next step
Topic guides
Legacy systems, make-or-buy decisions, and technical renewal without a reckless rewrite.
Open guide and articles 02From product judgement and prototypes to dependable apps, platforms, and SaaS products.
Open guide and articles 03System boundaries, backends, cloud infrastructure, and decisions that keep software maintainable.
Open guide and articles 04Security boundaries, governance, and delivery practices for AI agents in real systems.
Open guide and articles