Efficient Agents for Developers

Posted By: TiranaDok

Efficient Agents for Developers: Design, Optimize, and Deploy Cost-Effective AI Agent Systems That Maximize Speed, Accuracy, and ROI by Todd Chandler
English | August 8, 2025 | ISBN: N/A | ASIN: B0FLVCMCCN | 311 pages | EPUB | 3.44 Mb

Efficient Agents for Developers: Design, Optimize, and Deploy Cost-Effective AI Agent Systems That Maximize Speed, Accuracy, and ROI
Are your AI agents running slower, costing more, and delivering inconsistent results? In today’s competitive landscape, speed, precision, and efficiency are non-negotiable, and every wasted token, millisecond, or watt of compute cuts into your ROI.
Efficient Agents for Developers gives you the proven strategies and practical code patterns to design agents that perform at scale, fast, accurate, and affordable. Whether you’re deploying a single intelligent assistant or orchestrating a fleet of specialized agents, this book shows you exactly how to engineer for cost-effectiveness without sacrificing quality.
Drawing on real-world benchmarks and production-tested architectures, you’ll learn how to:
  • Build lean agent pipelines with tiered model strategies that use lightweight LLMs by default and escalate to heavier models only when necessary.
  • Implement agentic plan caching to slash redundant reasoning costs while keeping outputs fresh.
  • Design modular, composable components for reuse across workflows, reducing complexity and maintenance overhead.
  • Integrate real-time performance monitoring to measure cost-of-pass, latency, and accuracy in live environments.
  • Apply system-level optimizations, parallelism, batching, and efficient runtime scheduling, to maximize throughput.
  • Use workflow search and evaluation techniques to improve design speed and success rates without ballooning expenses.
  • Adopt developer-first practices from leading AI labs to ensure stability, transparency, and long-term maintainability.
Every technique is grounded in measurable results. You’ll see where it makes sense to cache, when to escalate, and how to profile energy use alongside token costs, so you can justify every architectural choice in numbers, not guesswork.
If you want agents that consistently hit the sweet spot between performance, cost, and reliability, this is the playbook. With clear explanations, production-ready examples, and practical patterns, it’s engineered for developers who need results, not research papers.
Stop accepting inefficiency as the price of intelligence. Build AI systems that work smarter, run faster, and cost less, starting now.