# Practical thinking for the next stage of software delivery.

Clear explanations, useful questions and practical frameworks for business leaders, product teams and engineers adopting AI in software delivery.

Canonical: https://peakroai.com/insights/
Updated: 2026-10-26


## 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.

[Read RDE versus SDD](/insights/rde-vs-sdd/)

## 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](/insights/recovering-legacy-business-rules/)

## 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](/insights/measuring-agentic-engineering/)

## 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](/insights/ai-prototype-to-production/)

## 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.

[Follow the worked example](/methodology/worked-example/)

## 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.

[Explore our services](/services/) or [start a conversation](/contact/).