Developer
Edge Runtime Gotchas for AI Apps: Streaming, Timeouts, and Retry Design
Build reliable AI streaming apps by mastering edge runtime limits, timeouts, and idempotent retry strategies.
Articles by Rody
Security
Stop Using .env Files: A Solo Founder’s Guide to Secret Sprawl
Convenience kills solo SaaS projects. I stopped using .env files when the operational cost outweighed the speed. Here is how to reduce blast radius,...
Developer
Stop Shipping Demo Code: Hardening AI-Generated React for Production
AI models write code for the happy path. Production requires handling the unhappy one. This is how we harden AI-generated React apps against silent
Technology
From Tinkering to Trust: When Does a Homelab Become Production-Ready?
Stop treating your homelab like production. Learn the key differences in security, monitoring, and mindset needed for client-ready infrastructure.
Developer
Building Resilient AI Agents: Chat Recovery, Durable Submissions, and Routing Retries
Cloudflare Agents SDK v0.12.4 introduces chat recovery, durable submissions, and routing retries to ensure production-grade AI agent reliability.
Automation
Beyond JSON Mode: Building Reliable LLM Pipelines with Validation and Repair
Schema compliance isn't enough. Learn to build reliable LLM pipelines with strict schemas, validation, and repair loops.
Developer
FastAPI vs. Next.js Server Actions: Picking the Right AI Backend
Stop picking AI backends based on hype. Use job duration and language needs to choose between FastAPI and Next.js Server Actions.
Developer
Cloudflare Workers AI vs Traditional APIs: The Builder’s Deployment Tradeoff
Weighing the cost and latency tradeoffs of Cloudflare Workers AI against traditional model hosting for production AI applications.
Security
MCP for Internal Tools: Permissions, Scopes, and Boring Success Criteria
MCP is a pipe, not a vault. Secure internal tools with tool-level scopes and boring success criteria.
AI Tools & Reviews
Beyond the Demo: Latency, Interruptions, and Fallbacks in Voice AI
Build production-ready AI voice agents by mastering latency budgets, handling interruptions, and designing reliable fallback paths.