P.01AI-generated phishing, deepfake CEO fraud, automated vulnerability exploitation — the attacks got smarter. But so did the defenses. We break down both sides of the AI cybersecurity arms race and what developers should actually do about it.
P.02Everyone says go cloud-native. But what does that actually mean in 2026? We break down microservices, serverless, and containers — and why most teams should start simpler than they think.
P.03Not everything needs the cloud. Edge AI is putting real intelligence on devices, sensors, and cameras — with millisecond latency and zero internet dependency. Here is where the technology actually stands.
P.04Micro-frontends have matured past the hype phase. We break down Module Federation 2.0, composition patterns, and the real-world scenarios where splitting your frontend actually pays off.
P.05Strip away the crypto speculation and NFT mania. What is left of Web3 in 2026? Turns out, quite a lot — supply chain tracking, digital identity, smart contracts, and decentralized storage are quietly solving real problems.
P.06Zero Trust is the most overused term in cybersecurity. But the architecture behind it is real, and after high-profile breaches in 2025-2026, everyone is finally taking it seriously. Here is what implementation actually looks like.
P.07EditorPickA deep dive into how we built codercops.com with Astro 5 SSR, Supabase as a CMS, Git-based content, and Edge Functions. Architecture decisions and lessons learned.
P.08Step-by-step tutorial to build a live-updating analytics dashboard using Supabase Realtime subscriptions, Astro SSR, and D3.js charts. Full code included.
P.09EditorPickMost AI agents fail in production. Here are the architecture patterns, error handling strategies, and guardrails we use to build agents that actually ship.
P.10How we built a Git-to-Supabase content pipeline with SHA-256 delta sync, Edge Functions, and GitHub Actions. Full architecture and code walkthrough.
P.11EditorPickAfter 90 days of using Claude Code across our entire engineering team, here is what actually changed — the good, the bad, and the productivity numbers.
P.12EditorPickClaude Sonnet 4.6 matches Opus performance at Sonnet pricing. Full breakdown of benchmarks, features, adaptive thinking, and what it means for developers.