Are Autonomous Coding Agents Accelerating Your Velocity, Or Multiplying Your Technical Debt? The era of manual code generation is over. Today, AI models can synthesize thousands of lines of syntax in seconds. Yet, engineering teams are quickly discovering a dangerous illusion of velocity: code generation is cheap, but verifying, securing, and maintaining probabilistic code is harder than ever. In Modern Development Workflows: Mastering Human-in-the-Loop Software Engineering, Tony Larson provides the definitive architectural blueprint for integrating AI agents into mission-critical enterprise systems safely and deterministically. This comprehensive technical guide moves past superficial prompt engineering to tackle the deep systemic challenges of agentic development. You will learn how to design strict verification control planes, implement dynamic context grounding, and elevate human developers from mechanical typists to authoritative system architects. Whether you are scaffolding greenfield microservices from OpenAPI contracts or managing massive legacy transformations, this book equips you with the formal methodologies required to thrive in the verification era.
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