Prompt injection, data leakage, insecure tool use, and supply chain risks. The security threats specific to AI-integrated applications and how to defend against them.
The evolution of serverless computing and how modern edge functions, durable execution, and streaming have transformed what is possible.
When does it make sense to manage your own cloud infrastructure versus handing it to a professional team? A practical framework for founders and engineering leads.
How edge computing has become the default for modern web applications. Patterns for data, rendering, and API design at the edge.
An analysis of how Google uses Core Web Vitals as a ranking factor today and how the weighting has shifted. Practical implications for teams trying to compete in search.
How to structure Terraform projects for real teams. Module design, state management, CI/CD integration, and the patterns that prevent infrastructure drift.
How to build reliable AI agents that can autonomously complete complex tasks. From architecture to deployment and monitoring.
GPTBot, ClaudeBot, Applebot, and dozens of other AI crawlers are visiting your site right now. Here is how to identify them, understand their behavior, and decide how to respond.
What Google actually penalizes, how AI content detectors work, and how to use AI writing tools responsibly without putting your rankings at risk.
Everything you need to know about building with React Server Components. Streaming, caching, and composition patterns for modern apps.
A practical guide to implementing JSON-LD structured data that earns rich snippets, FAQ results, and featured placement in both traditional and AI-powered search.
How to implement layered rate limiting and DDoS protection using Cloudflare, Vercel middleware, and application-level controls. Protect your infrastructure without blocking real users.
Practical advice on building, fixing, and growing software products — delivered twice a month. No jargon, just insights you can act on.
No spam, unsubscribe at any time.