Agentic
Software Delivery
How AI Engineering Can Transform the Software Development Lifecycle
Find it on Amazon ↗- Published
- July 3, 2026
- Length
- 143 pages
- Publisher
- Independently published
- ISBN-13
- 979-8185478080
Faster code is only part of the story.
A customer’s problem becomes a requirement, a design, an implementation, and eventually a system in production. At each handoff, context can disappear.
This book examines how AI agents can help across the whole delivery lifecycle: discovery, requirements, architecture, implementation, review, testing, release, operations, and documentation.
The practical question is how to make that participation useful while keeping authority, evidence, and human judgment explicit.
Three ideas that run through the book
- Preserve the intent
Carry requirements, constraints, architectural decisions, and production learning into the next stage of work.
- Build the system around the agent
Design the context, tools, policies, evaluation, and approval paths that make agentic workflows operable.
- Measure the whole delivery process
Look at quality, rework, recovery, and outcomes alongside the speed of generating an artifact.
Start with the central idea
Software Delivery Is a Translation Problem introduces the argument. For the architecture behind it, read What a Production Agent Platform Actually Needs.