I’ve spent 10 years building bots that bypass anti-fraud systems. Now I fight them by building anti-bot detection systems - and most defenses don’t work. In this article, I’ll break down how human-like bot traffic actually works - and show a simple way to make bots click on hidden links. Almost every website receives large volumes of “direct” and “referral” visits that are not real users. These vi
If you've ever built a form backend or an automation workflow, I built MultiValidator to fix that. One API call. Up to 50 fields. Send a batch of fields, get back validation results for all of them: import requests payload = { "fields": [ {"type": "email", "value": "[email protected]", "field_name": "email"}, {"type": "phone", "value": "+447911123456", "field_name": "mobile"}
It Started With a Bug When I was building VMMS — a voucher management system MySQL. Clean queries. Fast results. Then I deployed to a server running MariaDB. Half my charts broke. I had written date queries like this all over the codebase: // This breaks on MariaDB DB::table('voucher_transactions') ->selectRaw('MONTHNAME(created_at) as month, COUNT(*) as total') ->groupByRaw('MONTH(crea
Table of Contents Introduction Environment Requirements Core Features Core Design and Code Analysis Actual Execution Demo Architecture Overview How You Can Expand Future Plans & Conclusion What is this It is a basic debugger, running on Linux and implemented in C++, aiming to create a debugger that is easy to read and expand. In addition, Lavender's main function is to help users analyze the logic
I spent long hours debugging why Google couldn't index my React app. Lighthouse showed green scores. The app felt fast. But Search Console kept flagging LCP failures and CLS shifts I couldn't reproduce locally. The fix? Four lines of metadata and one misunderstood render strategy. If you've ever shipped a "fast" SPA and watched it flatline in search rankings, this Core Web Vitals SEO guide is for
If you are running production workloads, this is for you. Not side projects. Not early-stage experiments. Not a single-service app with low traffic. This is for teams shipping real systems. Systems with users, uptime expectations, and release pressure. Because at that stage, your deploy process is no longer a convenience. It is part of your product. And right now, for most teams, it is the weakest
If you've ever managed multiple GitHub accounts on the same machine — a personal account, a work account, maybe a freelance client account — you know the pain. You clone a repo, push some code, and then realize it went up under the wrong username. Or worse, you spend 20 minutes debugging why your SSH key isn't working, only to find out you're using the wrong identity file. I got tired of it. So I
Most teams treat cloud cost as a finance problem. But the root cause is usually engineering. Bills spike, dashboards grow, alerts fire — but the underlying issue rarely gets fixed. That idea stood out to me while reading about an approach where AWS cost was handled like an SRE problem — using the same mindset applied to reliability and performance. Instead of asking “why is the bill high?”, the fo