Understand the method
RDE and SDD: two layers of a clear delivery model
Requirements preserve system intent over time. Change specifications turn relevant intent into work that can be executed. Understand how the two fit together and where teams can start.
Recover knowledge before changing software
Finding the business rules inside a legacy system
Code can tell you what a system does. Understanding what it should continue to do takes evidence, domain knowledge and explicit decisions. Use a bounded discovery process to prepare a modernization slice.
Read the legacy discovery guide
Measure value across delivery
What to measure in an agentic engineering pilot
An impressive code-generation result is only one part of the story. Establish a baseline that includes review, rework, integration and quality, then evaluate the actual change in delivery.
Read the pilot measurement guide
Prepare a product for real users
From an AI-built prototype to production
A working demo can be a valuable starting point. Assess its requirements, access controls, critical journeys and operating model before relying on it as a product.
Read the production-readiness guide
See the method on a concrete problem
Our order-cancellation walkthrough connects business intent, a persistent requirement, a technical decision and proposed validation evidence. It is an illustrative teaching example, clearly separate from a client result.
Bring a question from your own environment
The most useful engineering discussion starts with a real constraint: a system that is difficult to change, a prototype preparing for users or a team working out how to adopt AI responsibly.