Your software doesn’t need a rewrite pitch. It needs an investigation. Old applications carry business rules, recovery habits, integrations, exceptions, and operator knowledge that no architecture diagram can capture. AI can help teams surface that evidence faster—but only when humans control the assignment, access, tests, and decisions. Don’t Rewrite It gives engineering leaders, architects, and senior developers a practical method to: - map what actually runs, not what the diagram claims; - build supervised agent teams that divide research, data, architecture, testing, security, configuration, and visual work; - develop agent runtimes and recurring automations that can interpret unstructured work without receiving unlimited authority; - choose local, hosted, or hybrid models using real privacy, capability, and total-cost boundaries; - use Agent Skills as repeatable playbooks and MCP as a governed connection to databases, tests, logs, browsers, and cloud services; - protect the behavior that must stay true; - choose and verify one bounded improvement; - create seams, stage authority, and rehearse recovery; and - move, replace, or retire only the components that earn the decision. The expanded edition includes the recurring Harborlight Claims case, eleven explanatory diagrams, a worked agent investigation, and a Practical Toolkit with reusable briefs for AI onboarding, agent automation, system mapping, safe change, release evidence, and knowledge transfer. This is not a vendor-specific prompt collection or a sales case for autonomous coding. It is an evidence-first operating method for improving brownfield software without gambling the business knowledge already inside it.
| Gtin | 09798189712227 |
| Age_group | ADULT |
| Condition | NEW |
| Gender | UNISEX |
| Product_category | Gl_book |
| Google_product_category | Media > Books |
| Product_type | Books > Subjects > Computers & Technology > Programming > Software Design, Testing & Engineering > Software Development |