The Bugzilla MCP Server is a Model Context Protocol server that enables AI assistants to interact directly with Bugzilla instances. It provides secure access to query bugs, search repositories, add comments, and manage bug tracking—all through natural conversation with your AI assistant.
How helping transform traditional QA test cases into AI-assisted ones taught me that the future of testing isn't about replacing humans—it's about humans and AI working together
The other day, in a conversation with my CEO Lalit, he said something that stuck with me:
In this article, I'll share my hands-on experience using two speech-to-text transcription solutions: Sarvam AI and OpenAI Whisper. I've worked with both in real-world scenarios and will walk through their accuracy, integration process, and how well they perform under different conditions—especially for Indic language use cases.
Laravel's request-response flow is powerful yet elegant. Knowing how it works helps with debugging and optimization. Let's break down the journey of a user request in your Laravel app.
As a Laravel developer, you're already familiar with the elegance and power of the Laravel ecosystem. But did you know that Laravel Zero allows you to harness that same power to build command-line tools? In this guide, we'll walk through creating a CLI tool using Laravel Zero, then compile it into a standalone PHP binary using Static PHP CLI (SPC). This workflow is perfect for building utilities, automation scripts, or deployment tools.
You’ve probably heard about big AI models like ChatGPT or Google’s Gemini. These are called Large Language Models (LLMs), and they’re amazing at understanding and generating text. But there’s another type of AI model that’s smaller, faster, and more practical for businesses: Small Language Models (SLMs).
Integrating WorkOS with Laravel enhances your application's authentication capabilities, offering features like social logins, passkeys, and Single Sign-On (SSO). Laravel provides starter kits for React, Vue, and Livewire, each with a WorkOS AuthKit variant, simplifying the integration process.
At Bizom , our fast-growing company, we faced a growing challenge as our team expanded: maintaining code quality and error handling across our Bitbucket repositories. With more developers contributing code, it became increasingly difficult to ensure consistency and high standards during code reviews.
A few months ago, I found myself drowning in pull requests. As a developer, I understand the importance of thorough code reviews, but reviewing each pull request manually was time-consuming and often inconsistent. Sometimes, minor issues slipped through the cracks, and at other times, reviews took longer than necessary.