LLMs for Modern Software Delivery and DevOps
LLMs for Modern Software Delivery and DevOps is a practical book about applying large language models across software engineering, DevOps, SRE, and platform workflows. It covers core LLM concepts alongside RAG, multi-agent systems, testing, operations, security, and governance.
At a glance
- Connects LLM foundations, including Transformer architecture and fine-tuning, with software delivery scenarios.
- Covers RAG, multi-agent systems, and platform-based AI assistance.
- Use cases include log analysis, incident response, test generation, code generation, vulnerability repair, project coordination, and cybersecurity.
- Addresses adoption risks and governance as part of applying LLMs in engineering workflows.
Reference price: $49.99
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Bridges technical LLM concepts with DevOps, SRE, platform engineering, and software delivery examples.
- Broad coverage includes operations, testing, coding, project management, and cybersecurity.
- Includes risk, governance, and responsible adoption topics rather than focusing only on implementation possibilities.
Technical specifications
7 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | July 1, 2026 |
| Language | English |
| Print length | 442 pages |
| ISBN-13 | 978-1807609191 |
| Dimensions | 7.5 x 1 x 9.25 inches |
| Weight listed | 1.66 pounds |
|---|
What to know before buying
Listing details to confirm
The listing describes practical workflow examples and implementation patterns, but does not establish that every scenario includes step-by-step exercises or code. The listed publication date is July 1, 2026.
Who is it for?
A good fit for
- Software engineers exploring LLM-assisted delivery workflows.
- DevOps, SRE, and platform engineering professionals evaluating enterprise LLM use.
- QA, security, and technical management teams considering AI across the software lifecycle.
Less suited to
- Readers seeking a narrow, hands-on coding manual for one specific LLM tool or framework.
Customer reviews on Amazon
- 5 stars
81% 81% - 4 stars
19% 19% - 3 stars
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The supplied evidence contains aggregate ratings but no written customer feedback. Those ratings lean positive, though the limited sample cannot explain which topics or aspects readers valued, so it offers little detail about how well the book serves a particular reader.
Frequently asked questions
What topics does the book cover?
It covers LLM foundations and topics such as Transformer architecture, GPT-style generation, fine-tuning, RAG, and multi-agent systems, then applies them to software operations, testing, development, project management, and cybersecurity.
Is this focused on DevOps alone?
No. The listing also describes applications for SRE, platform engineering, software testing, security, and project coordination.
Who is the book aimed at?
The listing identifies software engineers, DevOps and SRE professionals, QA and security teams, and technical managers interested in applying LLMs across software delivery.
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