FastAPI vs Next.js Server Actions: Picking the Right Backend for AI Tools
Align your AI backend with workload constraints to avoid timeouts, runaway costs, and technical debt.
154 articles on AI, automation, and building useful software.
Align your AI backend with workload constraints to avoid timeouts, runaway costs, and technical debt.
Edge runtimes break AI apps through hard limits and silent hangs. We learned the hard way how to design resilient workflows that respect infrastructure...
Cron delivery is best-effort. If you don't design for duplicates and partial failures, you're gambling with data integrity. Here is the practical
Most post-incident reviews fail because they are treated as administrative theater. For small teams, the cost of ambiguity is too high. Here is how
Provisioning dedicated GPU clusters is a trap for bursty AI agents. I stopped provisioning dedicated clusters and switched to serverless inference. Here is the...
Build resilient React apps for the AI era with error boundaries, logging, and recoverable UI state strategies.
Effective agent memory requires hard engineering choices about what to keep, how to compress it, and what to throw away.
MCP is a communication pipe, not a security boundary. Secure internal tools with scopes, least privilege, and boring success criteria.
Building production-ready voice AI requires strict latency budgets, intelligent interruption handling, and robust fallback paths.
Automation doesn't fail because of human friction; it fails because of bad state management. Here is how to stop duplicate drafts and build workflows
Complex frameworks fail small businesses. Here is the practical, operator-focused approach to security that actually keeps the lights on: MFA, verified backups, and patching.
Your RAG prototype is lying to you. Here is how to stress-test retrieval and generation with concrete metrics and CI/CD integration to prevent