Projects using Node.js in IndonesiaProjects using Node.js in Indonesialokerdollar.com (http://lokerdollar.com) — Remote Job Aggregator for Indonesian Talent
• Architected on Next.js 15 (App Router, RSC), TypeScript, Cloudflare Workers, D1, R2, and KV — zero-runtime-latency SEO pages powered by an ahead-of-time AI enrichment pipeline
• Designed a freemium monetization model (Guest / Free / Open Profile / Pro), Talent Visibility opt-in and a B2B employer discovery product
• Built an autonomous CI/CD repair pipeline using GitHub Actions + anthropics/claude-code-action@beta that detects pipeline failures and pushes fixes to PRs without manual intervention
• Runs a PostHog A/B testing loop on the hero section and conversion funnel; full observability via Sentry and Cloudflare Worker logs
• 100% of planning, implementation, and review flows through Claude Code, Codex, and Antigravity — spec-driven, agentic, and reproducible Security shouldn’t be the graveyard of deployment speed. Meet Aegis AI. 🛡️
I recently architected and engineered Aegis AI—a comprehensive, AI-powered Application Security (AppSec) Copilot designed to bridge the gap between aggressive development cycles and ironclad code security.
Here is why I built it:
1. The Problem: The Brutal Compromise
Modern engineering teams are forced into a toxic trade-off: ship code fast and risk devastating security breaches, or conduct grueling manual code audits and kill product momentum. Every single day, hardcoded API keys, SQL injections, and complex CORS misconfigurations slip past human code reviews. These aren't just bugs; they are ticking time bombs in production. The anxiety of deployment day is a real bottleneck, and manual security reviews are simply no longer scalable.
2. The Solution: An Autonomous Security Architect
I engineered Aegis AI to eliminate this compromise completely. It acts as an autonomous Senior Security Engineer that lives directly inside your pipeline. It doesn’t just blindly grep for bad patterns; it uses context-aware AI analysis to deeply understand data flow across your entire codebase. When it detects a vulnerability—from zero-days to logical flaws—it doesn't just alert you. Through the Aegis Auto-Patch engine, it provides precise, one-click remediations ready to be merged instantly.
3. The Result: Absolute Deployment Confidence
Development teams reclaim their momentum and save hundreds of engineering hours previously lost to manual debugging. You gain a transparent security score and actionable fixes in milliseconds, not days. The ultimate outcome for the business? Total peace of mind. Your team can focus on building phenomenal features, with the absolute guarantee that you will Never Merge a Vulnerability Again.
I build scalable, AI-native architectures that solve complex engineering bottlenecks. If your team needs a robust system built from the ground up, let's collaborate.
#FullStackEngineering #AI #AppSec #Nextjs #Nodejs #CyberSecurity #SoftwareArchitecture #ProblemSolver
