What if your next production app didn't need a single line of code written by hand-yet shipped faster, safer, and smarter than anything your team has ever built?
Master AI Coding to Build Production Apps is the field manual for the new era of software engineering. This isn't another "prompt tricks" playbook. It's a complete operating system for turning raw intent into autonomous, scalable, revenue-generating applications using GenAI tools and agent swarms.
From Chapter 1's first "Hello, Agent" to Chapter 8's 12-month roadmap to AI Engineering Lead, Seraphina Keller walks you through battle-tested patterns: modular agent architectures with LangChain and AutoGen, CI/CD pipelines that auto-heal, resilience at 10k concurrent users, ethical guardrails that prevent blame games, and multimodal workflows that turn screenshots and customer rants into pull requests.
You'll deploy your first "Code → Test → Review" swarm in under an hour. You'll learn to fuzz-test AI outputs, monitor token burn in real time, and cut sprint planning from days to minutes. You'll ship dashboards that write themselves, APIs that self-optimize, and features that evolve without merge conflicts.
But this book doesn't just hand you code-it hands you control. Every prompt is production-ready. Every agent is sandboxed. Every deploy is auditable. You stay the architect; the AI becomes the builder.
Whether you're a solo founder racing to MVP, a staff engineer scaling a unicorn, or a team lead desperate to 10x velocity without 10x headcount-this is your blueprint.
Includes:
- 50 battle-tested prompt templates
- Docker + Bedrock agent blueprints
- Full testing, monitoring, and ethics frameworks
- 30-day AI Coding Lab challenges
The future of software isn't waiting for better models. It's waiting for engineers brave enough to let intelligence flow through them, not just from them.
Grab your copy now. Open the terminal.
Your first agent is already warming up.
