Autonomous AI Engineers: Building Self-Coding Systems That Scale Your Development Without Burning Out
- Autor
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- Editorial
- Ediciones
2
- 1 calificaciones
3
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- 5 h 26 m
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- Categoría
Negocios y finanzas
This audiobook is narrated by an AI Voice. Stop Grinding Through 70-Hour Weeks. Start Building with Autonomous AI Engineers.
Are you drowning in technical debt, endless sprints, and impossible deadlines? What if you could multiply your development capacity without sacrificing code quality or your sanity?
Autonomous AI Engineers reveals the practical blueprint for integrating self-coding AI systems into your workflow—transforming how you build software in 2026 and beyond.
Written by Tom Anderson, a former engineering director who escaped burnout by mastering autonomous AI development, this comprehensive guide takes you from skeptic to expert with battle-tested strategies for Devin AI, OpenHands, and SWE-agent.
Inside This Game-Changing Guide:
Master the Major Platforms
Deep-dive comparisons of Devin AI, OpenHands, and SWE-agent with step-by-step setup instructions and real-world cost optimization strategies that save thousands in API fees.
Write Prompts That Actually Work
Advanced prompt engineering techniques that boost success rates from 30% to 70%, including chain-of-thought patterns and task decomposition strategies for complex features.
Scale Code Review Without Bottlenecks
Managing AI-generated pull requests at 5x human velocity with automated quality gates and review workflows specifically designed for AI coding agents.
Build Production-Ready Features
Complete walkthroughs for API development automation, frontend component generation, DevOps automation with Terraform and Kubernetes, and legacy code modernization.
Measure Real ROI
Proven metrics for velocity, quality, and cost per task, plus economic analysis showing when autonomous AI software development pays for itself.
© 2026 Independently Published (Audiolibro): 9798240104695
Fecha de lanzamiento
Audiolibro: 9 de febrero de 2026
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