Prompting PHP and Symfony for Web Development

Turn AI Prompts into Production-ready PHP and Symfony Applications

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Execution-first PHP 8.5 and Symfony 8 learning using AI prompts you run, verify, and iterate from day one.
● Hands-on Symfony 8 application development covering Twig, Doctrine ORM 3, APIs, authentication, and PHPUnit testing.
● Production-ready prompt playbook covering planning, implementation, debugging, security, and deployment workflows.

Book Description
Most PHP developers learn by reading documentation and memorizing syntax before touching a line of real code. Prompting PHP and Symfony for Web Development flips that entirely. You build immediately, with AI as your tutor, pair programmer, and reviewer, following one execution-first loop from the very first chapter: prompt, run, verify, and iterate.

Every chapter extends the same real application — a Feedback Inbox — so you never work on isolated exercises that disappear the moment you close the chapter. You build one complete, production-grade Symfony 8 application progressively, chapter by chapter, covering domain modelling with Doctrine ORM 3, REST APIs, access control, authentication, PHPUnit testing, security, and observability.

The final chapter delivers something no competing PHP or Symfony book offers — a portable prompt playbook covering planning, implementation, review, testing, debugging, and deployment that you keep and reuse across every project you build after this one. By the end, you will ship production-ready Symfony applications with the discipline, confidence, and workflow of an experienced developer.

What you will learn
● Build a complete production-grade Symfony 8 application from first prompt to live deployment.
● Use AI assistants critically by prompting, running, verifying, and iterating on every code output.
● Model domains and relationships in Doctrine ORM 3 with test-verified implementation from day one.
● Ship REST APIs and authentication workflows in Symfony 8 using disciplined prompt engineering.
● Write PHPUnit tests that serve as truth, rather than treating AI-generated code as evidence.
● Deploy and maintain a reusable prompt playbook for planning, debugging, and production workflows.

1. Working with AI as a Developer
2. A Reproducible Setup
3. Your First Feature
4. Reading Symfony in Motion
5. The Data Model and Workflows
6. The API Contract and Access Control
7. Tests as the Truth
8. From Local to Production
9. The Prompt Playbook
Index

Alexander Yarovoy is a Senior Software Engineer with more than 13 years of expertise in PHP and Symfony. He builds payment systems, e-commerce platforms, and scalable microservices, as well as mentors teams on modern architecture, testing, and AI-assisted delivery with verification-first habits.

About the Technical Reviewer
Nishant Gupta is a Staff Software Engineer and Researcher at Meta specializing in large-scale distributed systems, AI infrastructure, and agentic platforms. He helped build next-generation elastic compute infrastructure managing significant portions of Meta’s geo-distributed fleet, improving utilization and enabling large- scale AI workloads efficiently and reliably.

His research includes safely oversubscribing datacenter capacity while preserving strict reliability guarantees, with publications cited across the distributed systems community. He holds a Master’s degree in Computer Science from the University of California, Los Angeles (UCLA).

Naman Ahuja is a software engineer at Meta working at the intersection of AI infrastructure, distributed systems, and hardware enablement. His work focuses on building reliable, scalable infrastructure that supports large-scale AI and AGI workloads, including systems for capacity management, autoscaling, scheduling, and platform reliability.

Beyond his engineering work, Naman is a researcher, speaker, and startup advisor who writes about AI infrastructure, distributed systems, and the future of computers. He also co-founded BuzzingTech.ai, a platform focused on practical AI research breakdowns, system design deep dives, and career guidance for software Engineers.

Rishabh Thakur has over seven years of experience building and scaling distributed systems across leading technology and consulting organizations.

He has worked at PwC, Epic Games, and NVIDIA, contributing to the design and development of high-impact applications in both enterprise and product- driven environments. Rishabh holds a Bachelor’s degree from VIT Vellore and a Master’s degree from the University of California, Berkeley. Currently, Rishabh is a Senior Software Engineer at NVIDIA, where he mentors a team of five developers responsible for building tooling and products for incident command and incident management.