Projects using Cursor in PakistanProjects using Cursor in Pakistan
Cover image for What if reporting a bug
What if reporting a bug took seconds instead of minutes? That’s the idea behind Lucidmark. A product case study: Building a smarter bug reporting workflow for software teams. During software development, one challenge appears again and again: -> QA teams discover bugs. -> Developers need complete context. -> Managers need visibility. But when information is scattered across different tools and conversations, teams lose valuable time. That was the problem we set out to solve with Lucidmark, a modern bug reporting and project tracking platform designed to make QA workflows faster and more organized. The challenge: Create a simple way for teams to capture bugs instantly while keeping everyone aligned throughout the development process. The solution: Lucidmark brings bug reporting, task management, collaboration, and integrations into one centralized platform. Teams can: • Capture bugs directly from websites using an embedded reporting widget • Manage issues through visual Kanban workflows • Assign tasks and collaborate with team members • Connect existing workflows with Jira, Trello, ClickUp, and Slack • Analyze QA performance through reporting dashboards Technology behind the product: Frontend → Next.js + Shadcn UI Backend → Nest.js Infrastructure → AWS + Vercel Payments → Stripe The biggest challenge wasn’t building another bug tracker. It was designing a workflow where QA teams, developers, and managers could collaborate without unnecessary friction. The result? A platform that transforms scattered bug reports into clear, actionable workflows. This project reinforced something I strongly believe: Great software is not just about writing code. It’s about understanding problems, designing better experiences, and creating solutions that make work easier. Another product shipped. Another problem solved. #SoftwareDevelopment #SaaS #FullStackDevelopment #NextJS #NestJS #WebDevelopment #ProductDevelopment #QA #SoftwareEngineering
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Cover image for Taking corporate email automation beyond
Taking corporate email automation beyond basic template generation. 🚀 I just open-sourced a new project: Autonomous Cold Email & Inbound Replier Agent! This is a modular, production-ready system built completely in pure Python using CrewAI for multi-agent orchestration and Streamlit for a clean, modern interactive UI. As shown in image_ea414f.png, the system moves away from single-prompt generation and splits the operational workload into specialized, sequential steps to ensure high-quality enterprise triage: Dynamic Context Parsing: Ingests dynamic company names, specific roles, and product offerings to craft completely personalized pitch assets based on an internal knowledge base. Multi-Agent Orchestration: Uses a CrewAI sequential flow to separate analysis from execution. A Triage Officer handles data categorization while a Business Correspondent handles context-aware drafting. 100% Free-Tier & Cost Compliance: Powered entirely by high-performance models via free-tier API orchestration (utilizing gemini-2.5-flash via Google AI Studio and Groq Cloud AI as a high-speed secondary model). Interactive UI Safety: Features a polished Streamlit interface (onee.py (http://onee.py)) to monitor active server queues and act as a human-in-the-loop gatekeeper to approve drafts before they go live. The repository is modularly structured, completely production-ready, and optimized with strict exception handling to respect rate limits safely. 🔗 Check out the code here: https://github.com/26FajarRizwan/Cold_Email_Replier_Agent #CrewAI #Streamlit #AIEngineering #Python #GenerativeAI #LLMs #OpenSource #Automation #GoogleGemini
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