Leveraging AI for significant code refactoring can be a game-changer, even with older codebases. Recently, I tasked an AI with updating a conference bridge software from PHP 5 to PHP 8. While it introduced errors, it successfully rewrote the entire codebase. Further enhancements included migrating the database from MySQL to Redis for improved performance, rewriting the software module and web interface to support this change. This shift is expected to significantly boost performance and handle heavy query loads more effectively. Excited to test this thoroughly before going live, it highlights the potential of AI in tackling complex technical debt. #AI #SoftwareDevelopment #CodeRefactoring #DatabaseMigration #PHP #Tech

🤖 What if your next AI coding agent was built entirely in PHP? In this article "The First AI Coding Agent Built Entirely in PHP" on devmio, Valerio Barbera shows you how a fully PHP-based AI agent is reshaping the way you build, automate, and scale applications 🚀 ⚡ AI agents built with PHP 🧠 Smarter automation workflows 🛠 Real-world use cases for developers 👉 Ready to explore what’s possible? 🔗 https://lnkd.in/dGHd_T59 #IntPHPcon #PHP #AI #CodingAgents #WebDevelopment

Legacy PHP is not the problem. Blind refactoring is. Old code is not automatically bad code. Sometimes old code is code that survived: - real customers - real payments - real traffic - real edge cases - real production incidents The dangerous part is not that the code is old. The dangerous part is that nobody fully remembers all the business rules inside it. That is where AI can help — not as a magic rewrite button, but as a code analysis partner. A safer workflow: 1. Ask AI to explain the method 2. Extract hidden business rules 3. Identify side effects 4. Add tests first 5. Refactor in small diffs 6. Compare behavior before and after 7. Review SQL, security, and performance 8. Let a human approve AI-generated refactoring without understanding is just faster risk. The best use of AI in legacy code is not writing code. It is helping engineers understand the system before they change it. #PHP #LegacyCode #SoftwareEngineering #Refactoring #AI #ClaudeCode #BackendDevelopment #Laravel #CodeReview #Testing #EngineeringLeadership #SystemDesign

🚀𝗠𝗲𝗲𝘁 𝗡𝗲𝘂𝗿𝗼𝗻 – 𝗔 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗣𝗛𝗣 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 The future of software is 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀—applications where AI doesn’t just respond, it 𝘁𝗵𝗶𝗻𝗸𝘀, 𝗱𝗲𝗰𝗶𝗱𝗲𝘀, 𝗮𝗻𝗱 𝗮𝗰𝘁𝘀. That’s where 𝗡𝗲𝘂𝗿𝗼𝗻 comes in. 𝗡𝗲𝘂𝗿𝗼𝗻 is a PHP framework designed to help developers build 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 without worrying about the heavy lifting behind orchestration, data loading, and debugging. 💡 𝗪𝗵𝘆 𝗡𝗲𝘂𝗿𝗼𝗻 𝘀𝘁𝗮𝗻𝗱𝘀 𝗼𝘂𝘁: ✅ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 – Build AI entities that can reason, act, and collaborate. ✅ 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗔𝗴𝗻𝗼𝘀𝘁𝗶𝗰 – Works seamlessly with 𝗟𝗮𝗿𝗮𝘃𝗲𝗹, 𝗦𝘆𝗺𝗳𝗼𝗻𝘆, 𝗪𝗼𝗿𝗱𝗣𝗿𝗲𝘀𝘀, or custom PHP frameworks. ✅ 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝘆 – Built-in monitoring, evaluation, and debugging tools for AI systems. ✅ 𝗠𝘂𝗹𝘁𝗶-𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 – Easily switch between LLM providers using a common interface. ✅ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 – Clean architecture and minimal dependencies for smoother integration. For PHP developers building the next generation of 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀, Neuron provides a 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘁𝗼 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗶𝗻𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. The PHP ecosystem is evolving rapidly, and frameworks like Neuron are opening the door for 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗯𝘂𝗶𝗹𝘁 𝘄𝗶𝘁𝗵 𝗣𝗛𝗣. 🔥 Exciting times ahead for developers. #PHP #AI #ArtificialIntelligence #AIAgents #Laravel #Symfony #OpenAI #MachineLearning #SoftwareDevelopment #AgenticAI #AIEngineering #DeveloperTools #TechInnovation

In the second session with Roland Golla on Never Code Alone, we moved to the part I enjoy most: the actual code. We put Neuron AI to the test in a live environment, starting from scratch to see how it holds up. Watching this episode is particularly useful if you want to understand how to avoid the overhead of managing a separate Python microservice just to integrate agentic logic. We focused on the practical steps to keep your AI features right where your data and business logic already live: ⚙️ Direct Integration: We walked through the setup within the PHP stack you already use, eliminating the latency and complexity of a cross-language bridge. 🛠️ Agents with "Hands" (Tools): Roland explored how to give agents the ability to invoke existing PHP functions. This isn't just about generating text: it is about code executing actions based on real-time data. 🔍 Debugging and Transparency: We tackled the "black box" problem by showing how to monitor the agent’s reasoning process as it decides which tool to call and why. 🚀 Developer Experience: We discussed the challenge of maintaining code quality and predictability when working with probabilistic LLM outputs, a topic Roland is particularly passionate about. Our goal with this session is to demonstrate that as PHP developers, we don't need to feel excluded or forced to pivot our entire stack. We already have the engineering foundation to build solid, production-ready agentic applications. You can watch the full technical walkthrough here: https://lnkd.in/duYg6pKq We, along with the contributors on GitHub, are available if you have questions or if you find alternative ways to implement these features in your own builds.

🚀 PHP Developers, This One’s for You! If you’ve been curious about building AI-powered applications but didn’t want to switch to Python — here’s something worth exploring 👇 LLPhant is an open-source generative AI framework for PHP, inspired by LangChain, that makes it much easier to integrate AI directly into your existing PHP stack. 💡 Why it stands out: Supports multiple LLMs like OpenAI, Anthropic, Mistral, Ollama, LM Studio & LocalAI Seamless integration with Laravel & Symfony Build RAG (Retrieval-Augmented Generation) systems to chat with your own data Enable function calling to connect LLMs with real business logic Supports text streaming, image generation, and audio transcription Comes with an evaluation module for testing LLM responses 📦 With growing community adoption (10k+ downloads), LLPhant is quickly becoming a solid choice for PHP-first AI development. 👉 The best part? You can build advanced AI solutions without leaving the PHP ecosystem. If you're working on Laravel/Symfony projects, this is definitely worth trying. #PHP #AI #Laravel #Symfony #GenerativeAI #LLM #OpenSource #RAG #Developers #TechInnovation

🚀 PHP Developers, This One’s for You! If you’ve been curious about building AI-powered applications but didn’t want to switch to Python — here’s something worth exploring 👇 LLPhant is an open-source generative AI framework for PHP, inspired by LangChain, that makes it much easier to integrate AI directly into your existing PHP stack. 💡 Why it stands out: Supports multiple LLMs like OpenAI, Anthropic, Mistral, Ollama, LM Studio & LocalAI Seamless integration with Laravel & Symfony Build RAG (Retrieval-Augmented Generation) systems to chat with your own data Enable function calling to connect LLMs with real business logic Supports text streaming, image generation, and audio transcription Comes with an evaluation module for testing LLM responses 📦 With growing community adoption (10k+ downloads), LLPhant is quickly becoming a solid choice for PHP-first AI development. 👉 The best part? You can build advanced AI solutions without leaving the PHP ecosystem. If you're working on Laravel/Symfony projects, this is definitely worth trying. #PHP #AI #Laravel #Symfony #GenerativeAI #LLM #OpenSource #RAG #Developers #TechInnovation

I ran into recently into a small issue when using AI inot my work, I generated some PHP code with AI. It worked perfectly on my local setup (PHP 8), Then the CI/CD pipeline failed. Why? The pipeline was running PHP 7. So Some builtin functions and syntax just didn't exist there. Not a huge problem, but definitely avoidable. To be fair, this is less likely to happen in projects that are fully dockerized, where environments are aligned. But not every project is there yet. So some suggestions to avoid this, be explicit when prompting AI: - Use PHP 7.4 compatible syntax - Avoid newer built-in functions - Respect project constraints, ... It's a small detail, but it saves time later. #AI #SoftwareDevelopment #PHP

12 years ago I wrote my first line of PHP. Today I’m building AI agents. The stack changed. The fundamentals didn’t. Understanding APIs, system design, how data flows — that’s exactly what you need to build multi-agent systems. If you’re a full stack developer thinking about moving into AI — you’re closer than you think. The bridge is shorter than it looks. #AIEngineering #CareerPivot #FullStack #AIAgents #Developers

Why Neuron AI is the first "Agent-Ready" Framework for PHP 🐘🤖 Most frameworks are built only for humans. Neuron AI is different: it’s built to be understood by AI Agents. The release of our new Agentic Development Skills isn't just a documentation update. It’s a bridge between your IDE and the AI's reasoning capabilities. What is the true gain for developers? The "Knowledge Gap" is gone. By providing native Skills to your coding agents (Maestro, Cursor, Claude Code), you are giving them the Blueprints of the Framework. 🚀 The Result: Dynamic Capability: Your agent doesn't just write code; it understands how to architect Neuron components correctly. Zero Setup Friction: Stop copy-pasting docs into your prompts. The context is now built-in. Future-Proofing: As Neuron evolves, the Skills evolve. Your AI assistant stays updated with the latest v3 standards automatically. We are moving from "coding with AI" to "architecting with Agents." And we are doing it in PHP. Explore the future of Agentic Development: 👉 https://lnkd.in/dzdn-AN4 #NeuronAI #PHP #AgenticDevelopment #SoftwareArchitecture #AI #Maestro #MCP