A LinkedIn recruiter pitched me a remote "Software Engineer at a DEX" project this week. Reasonable comp range, tech stack squarely in my wheelhouse. After a couple of friendly exchanges, she asked me to "review the codebase before the technical interview" and sent me a GitHub repo link plus a Calendly invite for the call. The repo was malware. It didn't get me, but it's something developers shoul
In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
The Challenge of Scalable Secrets Management in GitHub Actions For development teams scaling beyond a handful of repositories, managing environment-specific variables and secrets in GitHub Actions can quickly become a significant bottleneck. The manual duplication of configurations across multiple repos, especially when dealing with distinct environments like development, staging, and production
Multi-tenancy is the economic engine of SaaS. Sharing infrastructure across customers reduces cost and simplifies operations. But it introduces a risk that can end your business overnight: tenant data leakage. When one customer can see another customer's data — even accidentally — the consequences are severe. Regulatory fines, contract termination, public disclosure requirements, and irreparable t
TL;DR: I built ChessDada — a free multiplayer chess platform inspired by old Yahoo Chess. No signup, no download, just instant browser-based chess. Built with Node.js, Socket.IO, and chess.js. Modern chess sites are bloated. Chess.com forces you through signup. Lichess defaults to account creation. The "5-second click and play" experience that made Yahoo Chess legendary in the 2000s is essentially
From Prompt to Production: AYW Workflow Case Study How we built a production-ready customer support chatbot in 6 hours (with full understanding, security review, and audit trails). Build a customer support bot that can: Handle 500+ concurrent users Integrate with Zendesk ticketing Support English + Spanish Maintain audit logs for SOC2 compliance Deploy on AWS with auto-scaling Traditional estim
I got tired of the same three-step content publish loop: write draft → open CMS → paste, format, re-paste, fight the rich-text editor, click publish. Repeat for every environment — staging, then production. For one article, fine. For a team publishing 20+ pieces a month? That workflow is a quiet tax on everyone's time. So I wired up a pipeline that cuts the loop entirely. You commit a .md file to
Hey everyone, I shared this earlier as a CLI to analyse npm packages before installing. Since then, I’ve added something I think is even more useful: 👉 You can now scan GitHub repos before cloning or running them npx guard-install --repo https://github.com/user/repo There’s a growing pattern (especially in crypto interviews / side projects): “Clone this repo and run it locally” Some of these rep