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Programming Agentic AI with Dspy: A Practical Guide to High-Accuracy, Secure, and Optimized Automation Workflows for Modern IT Operations
Paperback
Publisher: Independently Published
Published: Nov 28 2025
Pages: 408
Weight: 1.55
Height: 0.84 Width: 7.00 Depth: 10.00
Language: English
Programming Agentic AI with DSPy
A Practical Guide to High-Accuracy, Secure, and Optimized Automation Workflows for Modern IT Operations
Every modern IT team feels the pressure: alerts keep rising, infrastructure expands faster than humans can manage, and security threats demand instant response. What if you could build automation that doesn't just react-but thinks, reasons, and improves itself with every task?
This book gives you that capability. Programming Agentic AI with DSPy presents a clear, practical framework for designing agentic AI systems that perform real operational work: summarizing incidents, validating changes, triaging alerts, reviewing code, analyzing risk, and orchestrating end-to-end automation pipelines. Using DSPy-the emerging industry standard for building structured LLM-driven agents-you'll learn how to create automations that are not only accurate, but safe, explainable, and production-ready.
You'll discover how DSPy signatures, modules, optimizers, and tool integrations come together to form dependable AI systems for SysAdmins, DevOps, SecOps, SRE, and Network Engineering. Whether your goal is reducing MTTR, preventing misconfigurations, accelerating CI/CD, or tightening security posture, this guide shows you how to deliver high-impact results with confidence.
By the end of this book, you will be able to:
- Build agentic AI workflows using DSPy's signature-based architecture
- Connect agents to monitoring, EDR, SIEM, and network systems using secure tool calls
- Design triage, enrichment, reasoning, and remediation agents that align with real SOC, SRE, and DevOps practices
- Implement observability, feedback loops, and metrics for continual accuracy improvement
- Apply guardrails, compliance controls, and policy enforcement to keep automation safe
- Deploy agents at scale with containers, microservices, or serverless infrastructure
- Train and optimize agents using real-world outcomes, examples, and DSPy optimizers
- Produce reliable, explainable reasoning traces suitable for enterprise environments
If you're an engineer who wants automation that thinks, not just executes-or a leader looking to modernize operational workflows with agentic AI-this book provides the proven patterns, architecture, and expertise to get there.
Your next step is simple:
Equip yourself with the skills to build the next generation of intelligent automation.
Get your copy of Programming Agentic AI with DSPy today.
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