Table of Contents
Tackling the Toughest Challenges First
The Core Conversion: Controllers and Models
A Moment of Triumph: The Backup Script
Key Lessons Learned
The Road Ahead
Home Backend Development PHP Tutorial From Express to Laravel: My Journey of Rewriting a ear-Old REST API (and Surviving the Chaos)

From Express to Laravel: My Journey of Rewriting a ear-Old REST API (and Surviving the Chaos)

Jan 26, 2025 pm 02:04 PM

From Express to Laravel: My Journey of Rewriting a ear-Old REST API (and Surviving the Chaos)

Rewriting a legacy system is akin to aircraft maintenance mid-flight – a daunting task! I recently spent four days migrating a five-year-old Express REST API to a modern Laravel 11 REST API. The experience was, to put it mildly, exhilarating.

Tackling the Toughest Challenges First

Following Taylor Otwell's advice, I prioritized the most difficult aspects. The initial hurdle involved creating 64 table schemas in Laravel from an existing database. This involved painstakingly mapping years of undocumented database decisions – a true test of patience! While challenging, the process proved strangely satisfying, transforming chaos into order. Deepseek AI, my new AI assistant, significantly eased the burden, making the process feel more like puzzle-solving than a Herculean effort.

The Core Conversion: Controllers and Models

With the database schemas complete, the next phase focuses on converting Express controllers and models to Laravel. The transition presents a significant challenge, as the frameworks differ significantly in structure and approach. Express feels like the wild west, while Laravel offers a more structured, organized environment. However, having successfully navigated the database schema creation, I'm confident in tackling this next hurdle.

A Moment of Triumph: The Backup Script

Amidst the complexities, one task stood out: rewriting the backup script. This script, now adapted for Laravel, creates a database image and stores it in Cloudflare R2 Object Storage. Given Cloudflare's limited free storage (10GB), optimizing database dump sizes was crucial. This process, akin to a data-driven game of Tetris, proved surprisingly enjoyable.

Key Lessons Learned

This experience yielded several valuable lessons:

  1. Prioritize Difficult Tasks: Addressing the most challenging aspects early streamlines the remainder of the project.
  2. Comprehensive Documentation: Thorough documentation is essential, especially when working with legacy systems lacking proper documentation.
  3. Harness AI Power: AI tools like Deepseek AI significantly accelerate the development process.
  4. Celebrate Milestones: Acknowledging and celebrating small victories maintains momentum and morale.

The Road Ahead

The migration continues, with the controller and model conversion remaining a substantial undertaking. The journey promises further challenges and, hopefully, more success stories to share.

Have you undertaken a similar rewrite? Share your experiences! For those embarking on a similar project, prepare for a bumpy ride, but remember the rewards are well worth the effort.

Happy coding!


Share your most challenging rewrite or migration project in the comments below!

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