Building a User-Agent Risk Scorer: Rule Engine + Threat Intel + Community Voting

<h2> What I built </h2> <p>For Hacktoberfest 2026 Week 2's <strong>Side Hustle</strong> challenge, I built <a href="https://github.com/kushal-pandey/securelocal-ai" rel="noopener

<p>Every fraud tool on the market — IPQS, Sift, DataDome — was built for a world where bots used datacenter IPs. That world is gone.</p> <p>Today, fraudsters use

<p>Everyone's building "AI agents" in 2026. But after watching 50+ launches and talking to dozens of founders, I'm convinced we're actually seeing two completely different markets

<p>Building a bot detection engine is challenging, but making it resilient against adversarial attacks, denial-of-service (DoS), and subtle concurrency bottlenecks in production

<p>Two independent security research groups published this week with findings that land on the same problem from different angles: AI agent skill files are a serious and

<h1> I Let OpenClaw Build a Web App From Scratch - It Even Created the PayPal Plan </h1> <p><strong>TL;DR</strong>: I gave OpenClaw an idea. It built the entire product, deployed

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

<h1> I Audited 70 Companies' llms.txt Files. Most Don't Have One. </h1> <p>The <code>/llms.txt</code> proposal has been around since late 2024. Two years in, every SEO blog has a